ZipRecruiter

Log In

1

Data Scientist Cpg Jobs (NOW HIRING)

Costco IT

IT Data Scientist

Seattle, WA · On-site

They are seeking a Senior Applied Data Scientist to drive insights and inform decision making ... CPG/eCommerce industry. • Proficiency in SQL, PySpark, Python. • Proficiency in Core GCP ...

Costco IT

IT Data Scientist

Issaquah, WA

Data Scientists are responsible for driving insights and informing decision making to enhance the ... CPG/eCommerce industry. Proficiency in SQL, PySpark, Python Proficiency in Core GCP Services:

Costco IT

IT Data Scientist

Issaquah, WA

Data Scientists are responsible for driving insights and informing decision making to enhance the ... CPG/eCommerce industry. Proficiency in SQL, PySpark, Python Proficiency in Core GCP Services:

Costco

IT Data Scientist

Issaquah, WA · On-site

Data Scientists are responsible for driving insights and informing decision making to enhance the ... CPG/eCommerce industry. Proficiency in SQL, PySpark, Python Proficiency in Core GCP Services:

Quantiphi, Inc.

Senior Data Scientist

... CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative ... Senior Data Scientist (AWS) Experience Level: 8+ years Employment type: Full Time Location: Remote ...

Known

Data Scientist, Media Consultant

New York, NY · On-site +1

... media, CPG, real estate, and many other categories, honors like this could not be possible, and ... This role is on the "Buyer Science" team: a group of data scientists who specialize in media ...

Known

Data Scientist, Media Consultant

New York, NY · On-site

... media, CPG, real estate, and many other categories, honors like this could not be possible, and ... This role is on the "Buyer Science" team: a group of data scientists who specialize in media ...

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 ...

next page

Showing results 1-20

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 Jul 20, 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, and why are they important?

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 are Data Scientist CPG roles?

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 July 2026, with employment types broken down into 100% Full Time. Highlights an 33% In-person, 34% Hybrid, and 33% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Senior Data Scientist - Operation Research

Senior Data Scientist - Operation Research

Tiger Analytics Inc.

Dallas, TX • On-site, Remote

Full-time

Re-posted 25 days ago

Job description

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.

We are looking for a Senior Data Scientist with a good blend of data analytics background, practical experience in Operation research strategies and Pricing Analytics within supply chains, and strong coding capabilities to add to our team.

Key Responsibilities:

  • Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming
  • Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG.
  • Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to Pricing Optimization.
  • Develop and implement predictive models and optimization algorithms to improve inventory management, reduce stockouts, and optimize resource allocation across the supply chain.
  • Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
  • Design and execute experiments to evaluate the effectiveness of different replenishment strategies and allocation policies.
  • Monitor and analyze key performance indicators (KPIs) related to replenishment and supply chain allocation, and provide recommendations for continuous improvement.
  • Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization.
  • Collaborate, coach, and learn with a growing team of experienced Data Scientists.

Requirements

  • Proven experience 6+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation.
  • MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field.
  • Experience with using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools in applications.
  • Experience with MLflow and model lifecycle management
  • Experience building end-to-end ML pipelines in production
  • Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts.
  • Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries.
  • Ability to apply various analytical models to business use cases
  • Exceptional communication and collaboration skills to understand business partner needs and deliver solutions and explain to business stakeholders.

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Apply