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Data Scientist Cpg Jobs (NOW HIRING)

Juul Labs

Senior Data Scientist

The Data Scientist will turn large and varied commercial datasets into actionable items for ... Preferred experience with commercial, retail, CPG, or syndicated market data (Circana, NielsenIQ ...

Numerator

Sr. Data Scientist II

Numerator is seeking a Sr. Data Scientist II (Bayesian Modeling) to help build, enhance, and scale ... CPG / FMCG / retail experience, or work with user-level purchase or panel data #LI-Remote There is ...

rockITdata

Full Stack Data Scientist

Arlington, VA · Remote

We are seeking a highly skilled and innovative Full Stack Data Scientist to join our dynamic team ... Experience building solutions for Commercial clients in Pharma, Biotech, CPG, Retail or ...

rockITdata

Full Stack Data Scientist

Arlington, VA · Remote

We are seeking a highly skilled and innovative Full Stack Data Scientist to join our dynamic team ... Experience building solutions for Commercial clients in Pharma, Biotech, CPG, Retail or ...

rockITdata

Full Stack Data Scientist

Arlington, VA · On-site +1

We are seeking a highly skilled and innovative Full Stack Data Scientist to join our dynamic team ... Experience building solutions for Commercial clients in Pharma, Biotech, CPG, Retail or ...

Tiger Analytics, LLC

WI · On-site

$130 - $160/hr

Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced ... We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40 ...

Known

Director, Data & Media Science

New York, NY · On-site

... media, CPG, real estate, and many other categories, honors like this could not be possible, and ... You will work with other data scientists to develop campaign measurement strategies, build ...

Known

Director, Data & Media Science

New York, NY · On-site +1

... media, CPG, real estate, and many other categories, honors like this could not be possible, and ... You will work with other data scientists to develop campaign measurement strategies, build ...

Nestle

Expert Data Scientist (AI)

Arlington, VA · On-site

Position Summary Join Nestle IT & Digital as an Expert AI Data Scientist supporting Nestle USA ... CPG, Supply Chain, or Commercial environments is preferred * Strong hands-on engineering fluency in ...

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All JobsData Scientist Cpg Jobs

Data Scientist Cpg information

See salary details

$37.5K

$122.7K

$196.5K

How much do data scientist cpg jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data scientist cpg in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

How do data scientists in the CPG industry typically collaborate with marketing and sales teams to drive business outcomes?

Data Scientists working in the Consumer Packaged Goods (CPG) sector regularly partner with marketing and sales teams to analyze consumer behavior, forecast demand, and optimize promotional strategies. They translate complex data into actionable insights, enabling teams to make data-driven decisions on product launches, pricing, and campaign effectiveness. This collaboration often involves presenting findings in clear, business-friendly terms, and aligning data initiatives with broader commercial objectives to ensure that analytics directly contribute to revenue growth and market share.

What are the key skills and qualifications needed to thrive as a data scientist in the Consumer Packaged Goods (CPG) industry?

To thrive as a Data Scientist in CPG, you need strong analytical skills, expertise in statistics, and proficiency in programming languages like Python or R, often supported by a degree in data science, statistics, or a related field. Familiarity with data visualization tools (e.g., Tableau), machine learning frameworks, and experience with large-scale data systems are typically required. Strong business acumen, problem-solving abilities, and effective communication skills help translate data insights into actionable business strategies. These skills are vital for driving data-driven decisions that optimize supply chains, marketing, and product development in the highly competitive CPG sector.

What is the difference between Data Scientist Cpg vs Data Analyst Cpg?

AspectData Scientist CpgData Analyst Cpg
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related field; programming skills in Python/RBachelor's in Analytics, Statistics, or related field; proficiency in Excel, SQL
Work EnvironmentAdvanced analytics, predictive modeling, machine learning in CPG companiesData reporting, visualization, and basic analysis in CPG settings
Employer & Industry UsageUsed for complex data modeling, forecasting, and strategic insights in CPGUsed for routine data reporting and trend analysis in CPG

Data Scientist Cpg roles focus on advanced analytics, predictive modeling, and machine learning to drive strategic decisions, requiring higher technical skills. Data Analyst Cpg positions involve data reporting, visualization, and basic analysis, supporting operational needs. Both roles are vital in CPG companies but differ in complexity and technical expertise.

What is a data scientist CPG?

Data Scientist CPG roles involve leveraging data analytics, machine learning, and statistical modeling to help Consumer Packaged Goods (CPG) companies make informed business decisions. These professionals analyze large datasets related to consumer behavior, sales, supply chain, and marketing to uncover trends and insights. Their work supports product development, marketing strategies, demand forecasting, and inventory management. Data Scientists in CPG often collaborate with cross-functional teams to drive growth and efficiency across the business.
What cities are hiring for Data Scientist Cpg jobs? Cities with the most Data Scientist Cpg job openings:
What states have the most Data Scientist Cpg jobs? States with the most job openings for Data Scientist Cpg jobs include:
What job categories do people searching Data Scientist Cpg jobs look for? The top searched job categories for Data Scientist Cpg jobs are:
Data Scientist Cpg jobs near you
Infographic showing various Data Scientist Cpg job openings in the United States as of August 2026, with employment types broken down into 95% Full Time, 2% Temporary, and 3% Contract. Highlights an 78% In-person, 5% Hybrid, and 17% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior Data Scientist

Juul Labs

Remote

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 27 days ago

Job description

THE COMPANY:
Juul Labs's mission is to transition the world's billion adult smokers away from combustible cigarettes, eliminate their use, and combat underage usage of our products. We have the opportunity to address one of the world's most intractable challenges through a commitment to exceptional quality, research, design, and innovation. Backed by leading technology investors, we are committed to the same excellence when it comes to hiring great talent.
We are a diverse team that is united by this common purpose and we are hiring the world's best engineers, scientists, designers, product managers, operations experts, and customer service and business professionals. If the opportunity to build your career is compelling, read on for more details.
ROLE AND RESPONSIBILITIES:
The Data Scientist will turn large and varied commercial datasets into actionable items for leadership. We model direct and the syndicated views of the market (Circana, NielsenIQ, IRI, Skupos, Numerator, and store-level scan data), we measure whether our commercial programs actually effect change, and we give the commercial, finance, and executive teams a clear read on our fast-moving, hyper-competitive category. The Applied Scientist team is a small group but creates impactful changes at Juul. The successful candidate will have the ability to support leadership on pricing, distribution, and investment decisions that are made on a regular basis. The team is small and high-leverage, and our work shapes pricing, distribution, and investment decisions on a regular basis.
We are looking for someone who feels equally at home building a clean, well-tested data model over billions of rows of transaction data as they do designing the analysis that tells us whether a promotion drove incremental sales or simply rewarded customers who would have bought anyway. We believe the best data people do both, and we have built the team around that conviction.
KEY RESPONSIBILITIES:
  • Partner directly with commercial, finance, and executive stakeholders to proactively transform vague, complex business questions into scoped, actionable analytical problems, anticipating organizational needs before they are explicitly asked
  • Design and run rigorous experimental and quasi-experimental analyses (e.g., Diff-in-Diff, propensity methods) to evaluate promotions, measure causal impact, and model category economics like price elasticity and regulatory tax impacts
  • Architect and maintain large, complex commercial datasets using SQL and dbt on BigQuery, and build, deploy, and monitor robust market-share and demand forecasting models to drive seven-figure decisions
  • Build the predictive models and performance metrics that guide field operations, directly determining where and how field sales managers allocate their time to maximize store-level value
  • Deploy LLMs and AI agents to classify unstructured commercial data (e.g., receipts, transactions) and build internal tools that democratize data access and enable stakeholders to answer their own questions.

PERSONAL AND PROFESSIONAL QUALIFICATIONS:
  • SQL expertise, with the judgment to write models that are correct, efficient, and maintainable
  • A strong analytical and statistical foundation.
  • Experience with experimental design, causal inference, and the instinct to tell a real result from an artifact of how the data was selected
  • Working fluency in Python for analysis (pandas and the surrounding ecosystem)
  • Ability to connect data to commercial reality, and effectively communicate with key stakeholders about your findings.
  • Fluent in using AI tools to multiply your own output and to build tools for others.
  • 5 years of experience building analysis and models in industry
  • Preferred experience with commercial, retail, CPG, or syndicated market data (Circana, NielsenIQ, IRI, POS or scan data).
  • Preferred ability to view analytics engineering craft: version control, testing, documentation, and codebase hygiene.
  • Preferred familiarity with Juul's stack and the broader modern data ecosystem.

EDUCATION:
  • Bachelor's degree required
  • Preferred Master's degree in a quantitative field (statistics, economics, math, computer science, or similar)

JUUL LABS PERKS & BENEFITS:
  • A place to grow your career. We'll help you set big goals - and exceed them
  • People. Work with talented, committed and supportive teammates
  • Equity and performance bonuses. Every employee is a stakeholder in our success
  • Cell phone subsidy, commuter benefits and discounts on JUUL products
  • Excellent medical, dental and vision, disability, and life insurance, plus family support, wellness, legal, and employee assistance program benefits
  • 401(k) plan with company matching
  • Plus biannual discretionary performance bonuses
Juul Labs is proud to be an equal opportunity employer and is committed to creating a diverse and inclusive work environment for all employees and job applicants, without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. We will consider for employment qualified applicants with arrest and conviction records, pursuant to the San Francisco Fair Chance Ordinance. Juul Labs also complies with the employment eligibility verification requirements of the Immigration and Nationality Act. All applicants must have authorization to work for Juul Labs in the US. #LI-remote
SALARY RANGES:
Salary varies by role, level and location, and is dependent on the cost of labor in a given
geographic region among other factors. These ranges may be modified at any time.
LOCATIONS:
Tier 1 Locations: Greater New York City, and San Francisco Bay Area
Tier 2 Locations: Greater Boston, Washington DC Metropolitan Area, Seattle/Tacoma,
Greater Sacramento, Southern California (Los Angeles/OC/San Diego, Riverside and Imperial counties)
Tier 3 Locations: Rest of New England, NY Capital District, Rest of New Jersey, Greater
Philadelphia, Pittsburgh, Delaware, Rest of Maryland, Rest of Virginia, North Carolina,
Atlanta, Miami-Fort Lauderdale-WPB, Chicagoland, Dallas, Houston, Austin,
Minneapolis/St. Paul, Colorado, Phoenix, Las Vegas, Reno, Carson City NV., Portland Ore./Vancouver
Wash., Rest of California, Hawaii
Tier 4 Locations: Rest of US including Alaska and Puerto Rico
Tier 1 Range:
$165,000-$206,000 USD
Tier 2 Range:
$150,000-$187,000 USD
Tier 3 Range:
$141,000-$176,000 USD
Tier 4 Range:
$126,000-$157,000 USD

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