Here are 16 cannabis jobs mentioning "data scientist" in March 2024, at companies like Traxion Group, Inc, BDSA, Dauntless, Inc., and Fyllo, including positions such as Data Scientist, Statistician, Data Analyst, Data Scientist, Data Scientist/Relationship Manager, and Data Scientist (Junior).
More than 30+ days
Why Fyllo
At Fyllo we are on a mission to accelerate the economies of tomorrow. What does that mean? Our technology platform enables high-growth companies to reach and understand consumers, activate marketing and loyalty programs across multiple channels, and navigate today's ever-changing regulatory landscape.
We have created the world's largest data marketplace of cannabis and CBD purchase data along with a market-leading regulatory database that is used by Fortune 500 companies and emerging brands in highly-regulated industries like cannabis, crypto, short term rentals and more.
Having been founded in 2019, we have closed our Series C and raised 100 million to date. 2022 has proved to be another big year with our acquisition of Semasio based in the EU, so that together we will continue to grow our footprint globally. Semasio is a Unified Targeting provider that enables digital advertising professionals to reach their target audience by seamlessly combining audience, contextual and brand fit solutions into one targeting strategy. If you are someone who has a bias to act and believes in having more fun together, then read on!
Your Role
The data and analytics team at Fyllo designs and builds systems to monetize data at scale. We are responsible for creating and curating the Fyllo data ecosystem to provide Fyllo customers and mainstream clients with access to world-class audiences and data services.
The Data Scientist will join our analytics team which thrives in a collaborative, start-up environment, and embraces opportunities to take on new challenges. If that sounds like something that gets you excited, we would love to hear from you!
Day to Day
- Support Data Marketplace through predictive modeling and audience development
- Research and grow audience taxonomy through combining unique data assets
- Develop and automate ML methodologies and insights
- Create, implement, and measure proof-of-concept analytical initiatives
- Collaborate with the Product team to provide quality, scalable, and efficient solutions
Preferred Experience
- M.S. or PhD in statistics, math, physics, engineering, or other hard science
- At least 5 years of working experience in data science with heavy emphasis on predictive modeling
- At least 4 years Python programming
- Experience in large scale machine learning development and implementation
- Experience in applying optimization techniques to improve business outcomes
- Experience with data visualizations for non-technical audiences
- Problem solver, and entrepreneurial at heart. We are looking for proactive people that want to find solutions
- Experience with AWS services
- Knowledge with the AdTech/MarTech stack
Perks & Benefits
- Unlimited PTO
- Monthly mobile stipend
- Home office stipend
- 401K matching
- Hybrid work schedule
- Blue Cross Blue Shield medical coverage
- Dental & vision insurance
- Parental leave
- Pre-tax commuter programs
- Learning & development programs
Job Type: Full-time
Apply for this job with Fyllo
Apply now →
By clicking the "Apply now" button, you'll be leaving Fazow and going to an external job application page for this company.
Please research all companies before applying. When applying for jobs, you should NOT have to pay to apply.
Fazow accepts no liability or responsibility as a consequence of any reliance upon information on external sites or in jobs listed on fazow.com.
Through our Leaf VIP app, cannabis brands deliver bite-sized educational marketing videos with key messages and short surveys to budtenders, providing actionable field intelligence to brands and helping budtenders better educate consumers. Budtenders get paid to learn about brands and their products instantly through PayPal or Venmo once they complete offers. Brands and budtenders can also communicate with each other in real-time, creating a valuable feedback loop to improve the way brands and retailers do business together. Leaf VIP has delivered measurable double digit sales growth for our partners.
Are you ready to make an immediate impact at work and a lasting impact on the U.S. cannabis industry? If so, don’t miss this opportunity to join a fast-growing B2B software and marketing company serving some of the most innovative cannabis companies throughout the United States.
LEAF VIP is seeking a highly focused Data Scientist to help build and oversee the client business intelligence function for the company. Reporting to the President, this person will be a critical member of the team and work cross-functionally.
The candidate will ideally be located in Miami, FL, but we are open to remote as well.
Responsibilities:
- Engage directly with the client to demonstrate the value of the program, Take ownership for the communication, not just the visualizations.
- Conceptualize, build, test, and implement models that utilize various and diverse data sets to solve questions related to retail sales
- Create visualizations to analyze the effect of training and promotions on sales, ultimately influencing the company roadmap
- Proactively research data and identify opportunities in the data to drive the roadmap
- Understand human behavior and know what to look for in the data
- Communicate concisely and persuasively with various team members. Help identify ways to improve data quality and analysis
- Work both independently and alongside partners, creating and maintaining project-specific data ETL pipelines from a variety of data sources
- Develop interactive tools (Business Intelligence and/or basic UI) for team members that allow for data-driven actionable insights.
- Bachelor’s or Master’s degree or foreign equivalent in Computer Science, Information Systems, Statistics, Mathematics, Analytics, Quantitative Methods, Cognitive Science, or a closely related quantitative field
- 5+ years work experience in Data Science, Business Analytics, or Data Analysis; extracting and translating data from large, disparate data sources into actionable solutions
- n A+ communicator/presenter that will be highly credible and engaging to our clients.
- Demonstrated ability with skills such as:
- Data modeling using: Python, R, Julia, or Octave
- Data mining using: SQL, Pandas, or MongoDB
- Experience extracting data from various APIs using tools, such as: Postman, Microsoft Azure, Amazon API Gateway
- Familiarity with data visualization concepts and tools, such as: Tableau, PowerBI, Looker, Qlik, Google Data Studio
- Strong interpersonal and communication skills including excellent verbal, written, presentation and consultation skills
- Strong business acumen to link analysis to business impact
- Self-starter, able to execute with minimal supervision
- Accurate, tenacious & delivery focused, with an eye for detail and design
- Can work effectively both independently and in a collaborative environment.
- Prefers to work in highly dynamic and evolving role where change is constant
Apply for this job with Traxion Group, Inc
Apply now →
By clicking the "Apply now" button, you'll be leaving Fazow and going to an external job application page for this company.
Please research all companies before applying. When applying for jobs, you should NOT have to pay to apply.
Fazow accepts no liability or responsibility as a consequence of any reliance upon information on external sites or in jobs listed on fazow.com.
Bespoke Financial is the first licensed commercial lender focused on the cannabis industry. The cannabis industry is growing quickly and projected to be a $40+ Billion dollar market by 2024 and a $100+ Billion market by 2030. Bespoke Financial provides companies financing (ex. working capital), similar to how Square provides small businesses financing and how Affirm provides consumers financing.
Bespoke Financial already serves business in 11 US states (adhering to all state regulations), which covers 80% of the US cannabis
industry. In the past year, Bespoke Financial's revenue increased 400%+ YoY and is on track to increase to double-digit millions this year. With more states expected to legalize cannabis, the company is on track to continue its fast growth.
What you'll do:
- You'll use data to perform underwriting of and monitor the health of cannabis businesses and understand the cannabis industry at a macro-level.
- Everything you'll do will directly contribute to the success of Bespoke Financial in the short- and long-term.
- Sample data science projects we've done in the past:
- Created an underwriting system that underwrites cannabis businesses based on large amounts of data
- Created a client surveillance system to monitor the credit worthiness of clients based on large amounts of data
- Manage every part of the data lifecycle for your problem(s): data capture design and metrics development, analytics frameworks, accessible reporting, coaching of business stakeholders, deep dive analysis, etc.
- Be a cross functional leader: bring together all necessary business and technical groups to get the job done - be a full partner to business / technical stakeholders.
- Clean, manipulate, and analyze large, complex data sets.
- Communicate to others (ex. business stakeholders, data engineering, etc) what data changes are necessary to solve problems and help implement them.
- Research and recommend actionable solutions to nebulous business problems based on often unclean data.
- Ask questions no one has thought of and determine when a full reframing might be necessary.
- Drive the direction of the company through a mix of meticulous research and creativity.
- Generate and maintain reports and dashboards for internal and external consumers.
- Bachelor's degree with a concentration in Financial Engineering, Data Science, Mathematics, Statistics or Engineering.
- 3+ years experience in a data science or related data science position.
- Strong communication skills and previous experience working with cross-functional business groups.
- Proficiency with SQL to pull, join, and explore data provided by data engineering.
- Proficiency in statistical analysis with statistical packages in Python.
- Process-oriented, detail-oriented, and analytically-oriented mindset.
- Ability to onboard onto new business problems quickly - ability to understand and think as stakeholders. Product-oriented mindset is a plus.
Bespoke Financial is an equal opportunity employer. We strive to be a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work.
Apply for this job with Bespoke Financial
Apply now →
By clicking the "Apply now" button, you'll be leaving Fazow and going to an external job application page for this company.
Please research all companies before applying. When applying for jobs, you should NOT have to pay to apply.
Fazow accepts no liability or responsibility as a consequence of any reliance upon information on external sites or in jobs listed on fazow.com.
Who we are
Lantern is the leading cannabis home-delivery service that guides people through different strains and products, so we can help them find what's right for them, together. We are committed to bringing transparency, equity, and convenient access to cannabis, for both new and experienced consumers. We partner with the best dispensaries and cannabis brands across the US, to create a personalized buying and delivery experience, embedded with education and trust throughout the customer journey.
We are more than just another tech company. We are passionate about shining a light on the cannabis industry, demystifying and destigmatizing current perceptions, and bringing a healthy curiosity to everything we do. We have a desire to question, to understand, and to figure it out, together. We value diverse experiences, points of view, and perspectives, and we're committed to deliberation, debate, and then decision. And at the center of every decision is our customer, and how we can do better and move faster for them.
We're blazing a trail in an industry that's changing fast. The speed energizes us and fuels our commitment to creating the leading customer experience in the space.
Do you see yourself here? Read on.
Who you are:
You are currently at the intersection of data science and analytics, and you want to dive even deeper into both worlds. You have the operational ability to improve Lantern's current product and marketing automations, CRM workflow inefficiencies, consumer recommendation systems, and championing our product vision to build Lantern's roadmap of personalization. You have the empathy to understand our business from the eyes of a consumer, and you have the results driven mindset to drive improvements to Lantern's experience that move the bottom line. You have 3+ years experience with a technical toolset that mirrors a seasoned data scientist (Complex SQL, Python, Scikit, Git, visualization tools, etc).
You love working with teams including Data Engineering and Business Intelligence to transform raw data into highly actionable business insights through Tableau, as well as partnering with marketing and product teams to turn those insights into action. You also know how to work the other direction - how to implement and manage initiatives to ensure that data collection is seamless and comprehensive. You have a proven track record designing, implementing, and measuring solutions in the analytics space, and you have lead projects that have delivered results.
Are you coming from a consumer-facing ecommerce marketplace? That's great! We deal with massive amounts of eventstream data from a variety of internal and external sources.
Have you also delivered event streaming solutions? Even better! You will feel right at home if you have deployed and maintained production data science models, set up data pipelines with schema validation and testing, or worked on problems involving customer segmentation, uplift modeling, recommendations, and attribution.
What the role is:
We are looking for someone to build the future of customer personalization at Lantern. This person will support and optimize existing automations, and partner with product and marketing to drive meaningful personalization. They will create touchpoints that differentiate the Lantern shopping experience across web, mobile web + app, email, push, and more.
The Data Scientist is a critical member of the Analytics organization, and will work closely with Data Engineering, Analytics, and Marketing. They will certainly be responsible for supporting individual campaigns and product solutions, but also_ for the larger vision of how a data science architecture, codebase, and best practices should grow with Lantern over time_. Ultimately, this person will determine the ground truth, roadmap, and reporting lens through which Lantern will be enabled to deliver memorable and relevant experiences for our customers.
In this role you will:
- Partner with product and marketing to drive personalization at scale across the product and notification layer, across Lantern's consumer apps, websites, email, push, and more
- Develop and execute product and marketing process improvements through a complete lifecycle of experimental design, testing, measurement, and implementation
- Work closely with Data Engineering to implement AI/ML models and model services.
- Maintain and improve the data infrastructure, documentation, codebase, internal processes, and standards of the Analytics Team
- Integrate consumer and operational data sets from multiple internal and external sources
You do you.
Lantern is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status
Job Type: Full-time
Apply for this job with Lantern
Apply now →
By clicking the "Apply now" button, you'll be leaving Fazow and going to an external job application page for this company.
Please research all companies before applying. When applying for jobs, you should NOT have to pay to apply.
Fazow accepts no liability or responsibility as a consequence of any reliance upon information on external sites or in jobs listed on fazow.com.
Through our Leaf VIP app, cannabis brands deliver bite-sized educational marketing videos with key messages and short surveys to budtenders, providing actionable field intelligence to brands and helping budtenders better educate consumers. Budtenders get paid to learn about brands and their products instantly through PayPal or Venmo once they complete offers. Brands and budtenders can also communicate with each other in real-time, creating a valuable feedback loop to improve the way brands and retailers do business together. Leaf VIP has delivered measurable double digit sales growth for our partners.
Are you ready to make an immediate impact at work and a lasting impact on the U.S. cannabis industry? If so, don’t miss this opportunity to join a fast-growing B2B software and marketing company serving some of the most innovative cannabis companies throughout the United States.
LEAF VIP is seeking a highly focused Data Scientist to help build and oversee the client business intelligence function for the company. Reporting to the President, this person will be a critical member of the team and work cross-functionally.
The candidate will ideally be located in Miami, FL, but we are open to remote as well.
Responsibilities:
- Engage directly with the client to demonstrate the value of the program, Take ownership for the communication, not just the visualizations.
- Conceptualize, build, test, and implement models that utilize various and diverse data sets to solve questions related to retail sales
- Create visualizations to analyze the effect of training and promotions on sales, ultimately influencing the company roadmap
- Proactively research data and identify opportunities in the data to drive the roadmap
- Understand human behavior and know what to look for in the data
- Communicate concisely and persuasively with various team members. Help identify ways to improve data quality and analysis
- Work both independently and alongside partners, creating and maintaining project-specific data ETL pipelines from a variety of data sources
- Develop interactive tools (Business Intelligence and/or basic UI) for team members that allow for data-driven actionable insights.
- Bachelor’s or Master’s degree or foreign equivalent in Computer Science, Information Systems, Statistics, Mathematics, Analytics, Quantitative Methods, Cognitive Science, or a closely related quantitative field
- 5+ years work experience in Data Science, Business Analytics, or Data Analysis; extracting and translating data from large, disparate data sources into actionable solutions
- n A+ communicator/presenter that will be highly credible and engaging to our clients.
- Demonstrated ability with skills such as:
- Data modeling using: Python, R, Julia, or Octave
- Data mining using: SQL, Pandas, or MongoDB
- Experience extracting data from various APIs using tools, such as: Postman, Microsoft Azure, Amazon API Gateway
- Familiarity with data visualization concepts and tools, such as: Tableau, PowerBI, Looker, Qlik, Google Data Studio
- Strong interpersonal and communication skills including excellent verbal, written, presentation and consultation skills
- Strong business acumen to link analysis to business impact
- Self-starter, able to execute with minimal supervision
- Accurate, tenacious & delivery focused, with an eye for detail and design
- Can work effectively both independently and in a collaborative environment.
- Prefers to work in highly dynamic and evolving role where change is constant
Apply for this job with Traxion Group, Inc
Apply now →
By clicking the "Apply now" button, you'll be leaving Fazow and going to an external job application page for this company.
Please research all companies before applying. When applying for jobs, you should NOT have to pay to apply.
Fazow accepts no liability or responsibility as a consequence of any reliance upon information on external sites or in jobs listed on fazow.com.
We are a software, data and research company primarily working in the cannabis and CBD industry since 2016. We are quickly expanding into numerous other industries. Our mission is to help individuals make more informed purchasing, consumption and treatment decisions with data, not reviews.
We collect a wide range of real world evidence data on the use, performance, effectiveness, and safety of specific products reported anonymously by individuals. Some of the datasets are structured in the form of consumer studies where a specific use, symptom, or condition is being studied. Other datasets are less structured and more “messy” because it’s real world data coming from individuals tracking their product use and experience in the form of a mobile journal.
Regardless of the format, you would be provided with a raw dataset and specific goals or objectives that we have as a business in learning from the data. The goals and objectives will range from specific items like hours of sleep before vs after a product is used, to general questions like what does the data tell us about the use and performance of this product and/or brand.
We need someone who can take these raw sub-datasets and create a report that summarizes facts and findings within the data that we can use to create blog articles, press releases, and other social/digital content.
Apply for this job with MoreBetter
Apply now →
By clicking the "Apply now" button, you'll be leaving Fazow and going to an external job application page for this company.
Please research all companies before applying. When applying for jobs, you should NOT have to pay to apply.
Fazow accepts no liability or responsibility as a consequence of any reliance upon information on external sites or in jobs listed on fazow.com.
We are a software, data and research company primarily working in the cannabis and CBD industry since 2016. We are quickly expanding into numerous other industries. Our mission is to help individuals make more informed purchasing, consumption and treatment decisions with data, not reviews.
We collect a wide range of real world evidence data on the use, performance, effectiveness, and safety of specific products reported anonymously by individuals. Some of the datasets are structured in the form of consumer studies where a specific use, symptom, or condition is being studied. Other datasets are less structured and more “messy” because it’s real world data coming from individuals tracking their product use and experience in the form of a mobile journal.
Regardless of the format, you would be provided with a raw dataset and specific goals or objectives that we have as a business in learning from the data. The goals and objectives will range from specific items like hours of sleep before vs after a product is used, to general questions like what does the data tell us about the use and performance of this product and/or brand.
We need someone who can take these raw sub-datasets and create a report that summarizes facts and findings within the data that we can use to create blog articles, press releases, and other social/digital content.
Job Types: Part-time, Contract
Pay: $50.00 - $75.00 per hour
Application Question(s):
- Are you willing and able to look at a raw dataset and provide us with a report as part of your application?
Experience:
- Big data: 2 years (Preferred)
- Data analytics: 2 years (Preferred)
Work Location: Remote
Apply for this job with MoreBetter (Releaf App)
Apply now →
By clicking the "Apply now" button, you'll be leaving Fazow and going to an external job application page for this company.
Please research all companies before applying. When applying for jobs, you should NOT have to pay to apply.
Fazow accepts no liability or responsibility as a consequence of any reliance upon information on external sites or in jobs listed on fazow.com.
Job Summary: The Analytics team empowers BDSA through the development of syndicated market research products based on various datasets. As a Junior Data Scientist, you will work on highly complex projects supporting the Product and Professional Services teams with data wrangling, data cleaning, and data reporting tools and techniques.
Your day-to-day activities will involve using heterogeneous datasets to derive insights and automation. For example, combining public weather data with proprietary sales data to identify trends and build forecasts, or using ML/AI tools to parse large datasets and deduplicate data.
QC/QA processes are critical elements of this work and you will spend substantial time automating and managing automated QC/QA systems. The datasets grow substantially day by day and automation of the QC/QA environment is a top priority.
This is a fast-paced environment with a variety of challenges, many of which are driven by external factors. If you're excited to work on new projects, constantly find ways to overcome obstacles, and find joy in solving problems than this may be the job for you. As a junior data scientist, you'll work under the direction of senior team members and be expected to rapidly learn new tools and techniques. While work will be guided by more seasoned team members, your intellect, technical skills, and creativity will be highly valued and there is room for advancement.
Essential Functions and Responsibilities:
- Maintain models and projections for cannabis retail sales
- Developing QC/QA techniques for disparate data sources
- Integrating retail sales data across disparate markets to enable comparisons
- Implementing QC/QA techniques in production systems
- Work hand-in-hand with technology team members to utilize available technologies
- Respond to client data quality questions
- Support the Product team through ad hoc analyses, capabilities overviews, and prototyping
- Work with a variety of data science tools and programming languages such as Python, R, etc.
NOTE: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Required Experience and/or Other Qualifications:
- Degree in data science, statistics, economics, or a similar field (experience may be substituted for educational requirements)
- Expertise with Python and R Studio
- Expertise with data visualization software such Power BI
Desired Experience and/or Other Qualifications:
- Experience analyzing and solving CPG-focused challenges including but not limited to: forecasting, projections, assortment, innovation planning, pricing elasticity, etc.
- Experience in the cannabis industry
- Web scraping
- Unstructured text analysis
- ML/AI prototyping
Salary Range: $90,000 - $110,000 + annual bonus + stock options
Benefits: retirement, health/dental/vision insurance, flexible time off, remote work, training, parental leave, flex spending account
BDSA is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate based on any pay inequities nor on race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
Applicants must be authorized to work for ANY employer in the US. We are unable to sponsor or take over sponsorship of employment visas at this time.
Apply for this job with BDSA
Apply now →
By clicking the "Apply now" button, you'll be leaving Fazow and going to an external job application page for this company.
Please research all companies before applying. When applying for jobs, you should NOT have to pay to apply.
Fazow accepts no liability or responsibility as a consequence of any reliance upon information on external sites or in jobs listed on fazow.com.
Jane Technologies, Inc. is an MIT-founded technology company in the cannabis industry, and we are growing extremely quickly. Our technology digitizes dispensary inventories and creates virtual menus to allow users to explore, purchase, and review products. Our secret sauce is a clean product catalogue with rich content, which we use to map inventory across thousands of stores to a single product. For this reason, we have some of the cleanest transactional, browsing, and product data in the industry. And we're looking for a passionate, personable, creative, and entrepreneurial Data Scientist to join the team.
Culture is the single most important component of Jane's success to date. A successful candidate will thrive in our environment of mutual support, relentless pursuit of excellence, creativity, and complete lack of ego. We believe in the cannabis industry's ability to bring well-being, health, and love into this world, and it is our mission to bring confidence to the online cannabis shopping experience. To learn more about who we are, our culture, and whether this is the right place for you, read our Key Values profile: https://www.keyvalues.com/jane . Check out our product at: https://www.iheartjane.com/.
Responsibilities:
Create interactive dashboards for partners and internal users.
Import data from multiple sources into centralized storage using APIs, SQL queries, etc.
Working directly with dispensary and third party data buyers to provide reporting.
Assist with machine learning models to help enrich the user experience.
Minimum qualifications:
1+ years experience in a Data Science related role
SQL (PosgreSQL and Snowflake preferred)
Python (pandas preferred)
Data Visualization
Handling APIs to export/import data
Apply for this job with Jane Technologies
Apply now →
By clicking the "Apply now" button, you'll be leaving Fazow and going to an external job application page for this company.
Please research all companies before applying. When applying for jobs, you should NOT have to pay to apply.
Fazow accepts no liability or responsibility as a consequence of any reliance upon information on external sites or in jobs listed on fazow.com.
Bachelor's (Required)
Python: 2 years (Required)
Do you want to break the mold in how market research is conducted? Illuminate emerging industries like cannabis and cbd from multiple and nuanced angles? Use A.I. to capture what makes consumers thrive and light up? You are an experienced NLP data scientist looking to build a new paradigm.
You will join a cross-functional product wing of industry experts, programmers, and data analysts. As the natural language processing (NLP) Machine Learning Data Scientist, you will take the lead improving the accuracy of our primary data entities; spearhead the selection of cutting-edge algorithms and innovative approaches to user-attribute predictions; and shepherd good intuition about digital menu and social data. You'll be constantly learning and constantly teaching, expanding your skills across the stack and bringing in new technologies and methods to the team. Working in a fast-paced, flexible, start-up environment; we welcome your adaptability, passion, grit, and creativity. Because this role is in frequent collaboration with industry experts from multiple fields (psychology, cannabis, cbd, social media), curiosity and interpersonal skills are especially valued in addition to strong coding skills in Python.
About Brightfield Group.
Brightfield Group is a market research company composed of a team of experts across the country with years of experience analyzing opaque markets with the most sophisticated analytical and statistical tools available. We provide the most accurate and comprehensive consumer, brand, and market insights into emerging industries like CBD and cannabis, illuminating a critical edge in these fast changing, competitive markets. We accomplish this through cutting-edge social listening, expertly constructed surveys, triangulated market-sizing, innovative online data-crawlers, and thorough, empathic qualitative research. Our growing product teams leverage the latest technology in NLP, machine learning, and artificial intelligence to provide the most holistic view of emerging wellness industries and their consumers.
Key Responsibilities:
- Leverage text mining and NLP tools to derive meaning and insights from unstructured data
- Write efficient, scalable code to munge, clean, and derive intelligence from our data
- Collaborate with research teams to develop tools that provide efficiency and optimization to their analysis techniques
- Support the engineering development team in the productization of developed solutions
- Effectively communicate complex ideas to both a technical and non-technical audience
- Write efficient, scalable code to munge, clean, and derive intelligence from our data
- Carry out data science with an emphasis on Natural Language Processing, data analysis & Visualization Qualifications & Skills: REQUIRED:
- Experience (3 + years) using modern NLP systems and processes, ideally spaCy
Prior work experience (3 to 5 years) developing and deploying text and data mining solutions
Fluency in the core tenants of the Python data science stack: SQL, pandas, scikit-learn, etc. Fast learner, dynamic and motivated, not afraid to push boundaries
Strategic thinker with solid analytical and problem-solving skills Familiarity with annotation processes and/or clean data to align market research with the latest insights and best practices
PREFERRED: Strong familiarity with web scraping and common frameworks. We use the scrapy framework Demonstrated ability to collaborate effectively with non-technical stakeholders 2-5 years experience in a data-oriented Python role, including use of: Google Big Query Google Compute Engine Airflow CI/CD: We use GitHub Actions Docker Experience working with a business intelligence tool (e.g., PowerBI, Looker, Tableau, etc.)
Benefits: Flexible work location Choose your own laptop Health insurance 401k option Paid time of
Job Type: Full-time
Pay: $120,000.00 - $160,000.00 per year
Benefits:
- Health insurance
- Paid time off
Schedule:
- Monday to Friday
Education:
- Bachelor's (Required)
Experience:
- Python: 2 years (Required)
Work Location:
- Fully Remote
Apply for this job with Brightfield Group
Apply now →
By clicking the "Apply now" button, you'll be leaving Fazow and going to an external job application page for this company.
Please research all companies before applying. When applying for jobs, you should NOT have to pay to apply.
Fazow accepts no liability or responsibility as a consequence of any reliance upon information on external sites or in jobs listed on fazow.com.
Bachelor's (Preferred)
Machine Learning: 1 year (Preferred)
Python: 1 year (Preferred)
Are you interested in a fast-paced position analyzing large data sets to find patterns, extract valuable business insights, and drive decisions in the fastest growing industry in the world? Do you want the opportunity to utilize your deep knowledge of data and knack for analysis, math, and statistics? We are looking to hire a Data Scientist to help our growing development team make effective use of our rapidly growing catalog of data for the cannabis industry. You’ll be part of a cross-functional team that’s responsible for the full software development life cycle, from conception to deployment. You'll help drive business decisions both internally and for our partners in the cannabis industry.
Responsibilities
- Identify valuable data sources and automate collection processes
- Undertake preprocessing of structured and unstructured data
- Analyze large amounts of information to discover trends and patterns
- Build predictive models and machine-learning algorithms
- Combine models through ensemble modeling
- Present information using data visualization techniques
- Propose solutions and strategies to business challenges
- Collaborate with engineering and product development teams
Skills
- Proven experience as a Data Scientist or Data Analyst
- Experience in data mining
- Understanding of machine-learning and operations research
- Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
- Experience using business intelligence tools (e.g. PowerBI, Tableau) and data frameworks (e.g. Hadoop)
- Familiarity with cloud services (Azure especially)
- Analytical mind and business acumen
- Strong math skills (e.g. statistics, algebra)
- Problem-solving aptitude
- Excellent communication and presentation skills
- BSc/BA in Computer Science, Engineering or relevant experience;
Please include the answers to the following with your cover letter
1. Tell us something about Dauntless that interests you?
2. What is a problem that you solved that you are most proud of?
3. What's your favorite tool that allows you to be more efficient?
Dauntless, Inc. provided the following inclusive hiring information:
We are an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability status.
Job Type: Full-time
Pay: $100,000.00 - $120,000.00 per year
Benefits:
- Flexible schedule
- Paid time off
Schedule:
- Monday to Friday
Education:
- Bachelor's (Preferred)
Experience:
- Machine Learning: 1 year (Preferred)
- Python: 1 year (Preferred)
Work Location:
- One location
Work Remotely:
- Yes
Apply for this job with Dauntless, Inc.
Apply now →
By clicking the "Apply now" button, you'll be leaving Fazow and going to an external job application page for this company.
Please research all companies before applying. When applying for jobs, you should NOT have to pay to apply.
Fazow accepts no liability or responsibility as a consequence of any reliance upon information on external sites or in jobs listed on fazow.com.
Salary
$100,000 - $120,000 a year
Job Type
Full-time
Qualifications
Bachelor's (Preferred)
Machine Learning: 1 year (Preferred)
Python: 1 year (Preferred)
Full Job Description
Are you interested in a fast-paced position analyzing large data sets to find patterns, extract valuable business insights, and drive decisions in the fastest growing industry in the world? Do you want the opportunity to utilize your deep knowledge of data and knack for analysis, math, and statistics? We are looking to hire a Data Scientist to help our growing development team make effective use of our rapidly growing catalog of data for the cannabis industry. You’ll be part of a cross-functional team that’s responsible for the full software development life cycle, from conception to deployment. You'll help drive business decisions both internally and for our partners in the cannabis industry.
Responsibilities
- Identify valuable data sources and automate collection processes
- Undertake preprocessing of structured and unstructured data
- Analyze large amounts of information to discover trends and patterns
- Build predictive models and machine-learning algorithms
- Combine models through ensemble modeling
- Present information using data visualization techniques
- Propose solutions and strategies to business challenges
- Collaborate with engineering and product development teams
Skills
- Proven experience as a Data Scientist or Data Analyst
- Experience in data mining
- Understanding of machine-learning and operations research
- Knowledge of R, SQL and Python; familiarity with Scala, Java or C++ is an asset
- Experience using business intelligence tools (e.g. PowerBI, Tableau) and data frameworks (e.g. Hadoop)
- Familiarity with cloud services (Azure especially)
- Analytical mind and business acumen
- Strong math skills (e.g. statistics, algebra)
- Problem-solving aptitude
- Excellent communication and presentation skills
- BSc/BA in Computer Science, Engineering or relevant experience;
Please include the answers to the following with your cover letter
1. Tell us something about Dauntless that interests you?
2. What is a problem that you solved that you are most proud of?
3. What's your favorite tool that allows you to be more efficient?
Job Type: Full-time
Pay: $100,000.00 - $120,000.00 per year
Benefits:
- Flexible schedule
- Paid time off
Schedule:
- Monday to Friday
COVID-19 considerations:All of our staff wears facial coverings when in public or at the office. All staff are working remotely or at home using Microsoft Teams as a mechanism to stay connected and to collaborate.
Education:
- Bachelor's (Preferred)
Experience:
- Machine Learning: 1 year (Preferred)
- Python: 1 year (Preferred)
Work Location:
- One location
Work Remotely:
- Temporarily due to COVID-19
Apply for this job with Dauntless, Inc.
Apply now →
By clicking the "Apply now" button, you'll be leaving Fazow and going to an external job application page for this company.
Please research all companies before applying. When applying for jobs, you should NOT have to pay to apply.
Fazow accepts no liability or responsibility as a consequence of any reliance upon information on external sites or in jobs listed on fazow.com.
Salary
$75 an hour
Full Job Description
Job Summary: The Product team empowers BDSA through the development of syndicated market research products based on scan data. As a Data Scientist, you will work on a highly complex client-facing system providing insights to diverse user groups including innovation, marketing, sales, and strategy. Day-to-day activities will include development and refinement of projection algorithms, QC/QA systems support, and input to the product roadmap based on client needs and available data streams.
Essential Functions and Responsibilities:
- Create and deploy data projection models to drive both customer-facing and internal decisions.
- Execute and evaluate appropriate analyses (cluster analysis, logistic/linear regression, lift, etc.) given an array of tactical and strategic objectives.
- Utilize statistical and data visualization packages to develop innovative approaches to complex business problems.
- Extracts, analyzes, identifies, and assesses qualitative or quantitative patterns, trends, and other relationships from large amounts of data.
- Responsible for the maintenance and management of data assets.
- Interfaces with data end-users and the data storage/management architecture team to ensure that systems meet business needs.
- Develops and executes standard or custom queries or reports to retrieve data as required.
- Streamline existing processes to ensure the highest data quality while minimizing rework and increasing efficiency.
- Define data needs and external sources; validate, import, curate, and manage data for analytic and discovery projects.
- Interface closely with technology partners to manage analytical environment, acquire data sets, and develop production applications.
NOTE: Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Job-related Experience and/or Other Qualifications:
- Degree in data science, statistics, economics, or a similar field with at least five years' work experience preferred (experience may be substituted for educational requirements).
- Experience working with scan data.
- Experience working in CPG or a similar industry (e.g., BevAl).
- Experience analyzing and solving CPG-focused challenges including but not limited to: innovation planning, pricing elasticity, forecasting, projections, assortment, etc.
- Ability to digest business problems and translate needs into a data-centric context.
- Self-starter attitude with willingness to learn and master new technologies and analytical techniques.
- Flexibility to work both independently and within a team.
- Creativity in the face of constraint; "I can solve this" mentality.
- Advanced Excel and PowerPoint skills.
- Familiarity with data visualization software, such as Tableau, Looker, or PowerBI.
- Experience processing and manipulating POS, unstructured, text, and survey data preferred.
- Experience developing and validating market research models preferred.
- Experience in the cannabis industry preferred.
Salary Range: $75,00 - $110,000
BDSA is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate based on any pay inequities nor on race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
Applicants must be authorized to work for ANY employer in the US. We are unable to sponsor or take over sponsorship of employment visas at this time.
Apply for this job with BDS Analytics
Apply now →
By clicking the "Apply now" button, you'll be leaving Fazow and going to an external job application page for this company.
Please research all companies before applying. When applying for jobs, you should NOT have to pay to apply.
Fazow accepts no liability or responsibility as a consequence of any reliance upon information on external sites or in jobs listed on fazow.com.
Your Impact:
- Provide computational expertise, cleaning data and data structures, defining and developing methods and analyses, extracting biological and process insights, and suggesting further experiments and improvements in experimental design
- Convey results in a meaningful way to computational and experimental scientists with various backgrounds
- Own user data requests to aid in data-driven decision-making needs across strain engineering, analytics and fermentation teams
- Work with computing team to evaluate, deploy, and refine solutions like data warehouses, ETL analyses, analysis tools, and visualization infrastructure to support users and to ensure principled data capture
- Provide training in computing and analysis skills in a variety of tools (e.g., SQL, R, Jupyter notebooks, Spotfire, JMP)
- Work with CIO to ensure long-term scalable and efficient solutions
Your Experience:
- Degree in a quantitative discipline with 10+ years of work experience in analyzing biological data, including at least 5 years of hands-on work with high-throughput experimental data
- Track record of successful cross-discipline communication and collaboration
- Demonstrated ability to work well in a fast-paced, iterative, deadline-driven environment.
- Track record of developing and applying new computational and statistical methods to analyzing novel datasets and generating hypotheses about underlying biological or process mechanism
- Ability to work with customers to identify, promote and implement systematic solutions to data science problems
- Strong math & statistics, coding & database, and communication & visualization skills
- Experience with type-safe and functional programming techniques is a plus (e.g., F#)
We’ve got you covered:
Our employees are the most important part of what makes our company what it is and we want to provide our team with the best benefits we can. Demetrix offers a variety of benefits to help support our employees and their families outside of work, including:
Health Benefits
Retirement
Flexible Vacation
Food on campus
EAP Resources
Headspace App
Walking Distance to Berkeley Bowl
Gym Membership
Commuter Benefit
Education Allowance Benefit
Voluntary Benefits including Pet Insurance
Some other points:
We welcome applicants of any and all backgrounds with demonstrated abilities in the skills needed to meet our mission. We are always on the lookout for new talent who embrace change and are willing to push the boundaries of what’s possible in life.
Demetrix is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Employment with Demetrix is at will. This means your employment is for an indefinite period of time and it is subject to termination by you or Demetrix, with or without cause, with or without notice, and at any time.
The job posting highlights the most critical responsibilities and requirements of the job. It’s not all-inclusive.
Some more about Demetrix:
Nature is a rich source of ingredients. Inconsistent quality and supply, along with inaccessibility of rare substances, mean it’s not always an ideal source to meet the world’s needs.
Demetrix helps customers across the globe produce more for less.
Biotechnology can help by enabling access to more rare and powerful products. With less environmental impact and less cost than traditional methods. Which can lead to more happy, healthy lives.
Demetrix gives you:
Expensive and hard-to-find ingredients at your fingertips, sustainably and affordably
High ingredient purity without residual chemicals or pesticides
Affordable access that is quickly scalable as your business grows
Product consistency and a reliable, global supply
A sustainable solution with a small environmental footprint
Currently, we’re building a product pipeline of cannabinoids, the active compounds in the cannabis plant. Humans have been relying on cannabinoids for health and medicinal purposes for centuries.
Although there are more than 113 unique cannabinoids, very few have been studied. That’s because they are present in such low quantities in the plant. We can produce even the rarest cannabinoids at high purity and volumes. What this will do is enable research for health benefits and, ultimately, provide affordable access to the compounds.
Apply for this job with Demetrix
Apply now →
By clicking the "Apply now" button, you'll be leaving Fazow and going to an external job application page for this company.
Please research all companies before applying. When applying for jobs, you should NOT have to pay to apply.
Fazow accepts no liability or responsibility as a consequence of any reliance upon information on external sites or in jobs listed on fazow.com.
Job Level: Professional
Job Family: Data Analytics
Employment Type: Full-time
FLSA Classification: Exempt
Department: Product
Reports to: Director of Product
Location: Boulder, CO or remote
Job Summary: The Product team empowers BDSA through the development of syndicated market research products based on scan data. As a Data Scientist, you will work on a highly complex client-facing system providing insights to diverse user groups including innovation, marketing, sales, and strategy. Day-to-day activities will include development and refinement of projection algorithms, QC/QA systems support, and input to the product roadmap based on client needs and available data streams.
Essential Functions and Responsibilities:
- Create and deploy data projection models to drive both customer-facing and internal decisions.
- Execute and evaluate appropriate analyses (cluster analysis, logistic/linear regression, lift, etc.) given an array of tactical and strategic objectives.
- Utilize statistical and data visualization packages to develop innovative approaches to complex business problems.
- Extracts, analyzes, identifies, and assesses qualitative or quantitative patterns, trends, and other relationships from large amounts of data.
- Responsible for the maintenance and management of data assets.
- Interfaces with data end-users and the data storage/management architecture team to ensure that systems meet business needs.
- Develops and executes standard or custom queries or reports to retrieve data as required.
- Streamline existing processes to ensure the highest data quality while minimizing rework and increasing efficiency.
- Define data needs and external sources; validate, import, curate, and manage data for analytic and discovery projects.
- Interface closely with technology partners to manage analytical environment, acquire data sets, and develop production applications.
Qualifications: To perform this job successfully, an individual must be able to perform each essential function satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or abilities required to do so. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Required Education, Experience, and Other Qualifications:
- Degree in data science, statistics, economics, or a similar field with at least five years’ work experience preferred (experience may be substituted for educational requirements).
- Experience working with scan data.
- Experience working in CPG or a similar industry (e.g., BevAl).
- Experience analyzing and solving CPG-focused challenges including but not limited to: innovation planning, pricing elasticity, forecasting, projections, assortment, etc.
- Ability to digest business problems and translate needs into a data-centric context.
- Self-starter attitude with willingness to learn and master new technologies and analytical techniques.
- Flexibility to work both independently and within a team.
- Creativity in the face of constraint; “I can solve this” mentality.
- Advanced Excel and PowerPoint skills.
- Familiarity with data visualization software, such as Tableau, Looker, or PowerBI.
Preferred:
- Experience processing and manipulating POS, unstructured, text, and survey data.
- Experience developing and validating market research models.
- Experience in the cannabis industry.
Benefits: Company paid Medical, Dental, Vision, Life and AD&D coverages. We also provide both Health and Flexible Savings Account benefits, Dependent Care and a 401K with immediate vesting.
Conditions of Employment: Pre-employment background check
Work Environment: Normal office environment
Travel: 0%
BDSA is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate based on any pay inequities nor on race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
To apply, please send cover letter and resumé to [email protected]
Apply for this job with BDSA
Apply now →
By clicking the "Apply now" button, you'll be leaving Fazow and going to an external job application page for this company.
Please research all companies before applying. When applying for jobs, you should NOT have to pay to apply.
Fazow accepts no liability or responsibility as a consequence of any reliance upon information on external sites or in jobs listed on fazow.com.
Who we are
MCR Labs is an independent and accredited cannabis testing and analytics laboratory founded in 2013. We are a team of researchers, analytical chemists, pharmaceutical scientists, technologists, and cannabis enthusiasts working to advance the cannabis industry by helping providers ensure the safety and effectiveness of their products. We are committed to proving the best possible services to our clients, building relationships and supporting our community. This is an exceptional career opportunity to join a fast-paced company in a high-growth industry!
Job Summary
MCR labs is looking for a Data Scientist to work with the science and data analysis teams to identify trends in cannabis testing data, discover the information hidden within, and identify data points needed to increase the value of our data.
Primary Goal
To identify trends valuable to our operation and data points needed to increase the value of our data.
Primary Job Responsibilities
- Aggregating, processing, cleansing, and verifying the integrity of internal data used for analysis
- Enhancing data collection procedures to include information that is relevant for building analytic systems
- Extending company’s data with third party sources of information when needed
- Selecting features, building and optimizing classifiers using machine learning techniques
- Data mining using state-of-the-art methods
- Doing ad-hoc analysis and presenting results in a clear manner
- Creating automated anomaly detection systems and constant tracking of its performance
- Working with multiple departments to find requested information
Job Requirements
- Bachelor’s degree from an accredited university, master’s degree a plus
- Proficient in at least two programming languages (e.g. Python, R, Java, C, Ruby, JavaScript, etc.)
- Extensive SQL-based database experience, but knowledge of NoSQL or graph databases a plus
- Cloud-based computing platforms (e.g., Amazon Web Services, Google Cloud, etc.) exposure
- Experience creating data visualizations using software/tools such as Tableau, D3, or R Shiny
- Expansive usage of command line tools and git version control technology
- Prior experience with financial, medical, or alternative data providers a plus
- Proven record of extracting, transforming, cleaning, and matching large, disparate, dirty data
- Organized, self-directed, and resourceful with the ability to appropriately prioritize work in a fast-paced environment
- Excellent communication and visualization skills, with the ability to synthesize disparate data and information into a strong narrative
- Meticulous writing and editing skills
- Team player with an outgoing personality and high level of integrity
MCR Labs is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, genetic information, veteran status, or disability status.
All qualified applicants must be able to satisfy the Department of Homeland Security Form I-9 requirement, with the documents necessary to verify identity & employment authorization.
Our team is reviewing all applications as they are received. Unfortunately, we are not able to respond directly to all applicants, and we will reach out if you meet the requirements of the position for which you applied.
Job Type: Full-time
Salary: $60,000.00 to $75,000.00 /year
Job Type: Full-time
Experience:
- Java: 3 years (Required)
- Cloud Computing: 2 years (Required)
- SQL: 3 years (Required)
Education:
- Bachelor's (Required)
Application Question:
- Will you now, or in the future, require sponsorship for employment visa status (e.g. H-1B visa status)?
Benefits:
- Health insurance
- Dental insurance
- Vision insurance
- Paid time off
Apply for this job with MCR labs
Apply now →
By clicking the "Apply now" button, you'll be leaving Fazow and going to an external job application page for this company.
Please research all companies before applying. When applying for jobs, you should NOT have to pay to apply.
Fazow accepts no liability or responsibility as a consequence of any reliance upon information on external sites or in jobs listed on fazow.com.