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Data Scientist Cpg Jobs (NOW HIRING)

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 ...

Excellent communication skills -- able to explain a partial F-test to a client-side data scientist ... Background working with retail, CPG, financial services, or other data-intensive verticals

Excellent communication skills - able to explain a partial F-test to a client-side data scientist ... Background working with retail, CPG, financial services, or other data-intensive verticals

... 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 ...

... 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 ...

$90K - $180K/yr

Required Qualifications 5+ years leading Sensory in CPG, retail, or ingredient companies. Expertise ... Data science, data analysis, statistics, or related field, Master's degree in Business, Computer ...

Company Description Brillio is a global technology consulting firm focused on optimizing innovation and application modernization in the Banking & Finance, Utilities, CPG, Retail, Technology, Media ...

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Data Scientist Cpg information

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$37.5K

$122.7K

$196.5K

How much do data scientist cpg jobs pay per year?

As of Jun 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, 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.
More about Data Scientist Cpg jobs
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:
Infographic showing various Data Scientist Cpg job openings in the United States as of June 2026, with employment types broken down into 3% Locum Tenens, 52% As Needed, 39% Full Time, 1% Part Time, 4% Contract, and 1% Summer. Highlights an 85% Physical, 7% Hybrid, and 8% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Senior Data Scientist I - Growth, Marketing & Sales

Senior Data Scientist I - Growth, Marketing & Sales

McKinsey & Company

Atlanta, GA • On-site

Full-time

Posted 10 days ago


McKinsey & Company rating

8.5

Company rating: 8.5 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

15th of 57 rated business consultants


Job description

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You've come to the right place.
YOUR IMPACT
As a Senior Data Scientist and Analytics Product Owner for Consumer-Packaged Goods (CPG) clients, your role will include a broad set of responsibilities to drive internal data science and product development teams, along with client facing roles across the following topics.
You will focus on Innovation Leadership and help drive an innovation agenda for CPG Analytics across sciences, talent and tools by defining analytics use cases and aligning with a partner stakeholder group on the prioritization. This includes contributing to the roadmap for analytical code innovation, including bringing in additional analytical features, use of alternative modeling or AI/ML approaches and automation of Analytics at scale. Driving and overseeing some of the key architectural decisions as they relate to Analytics, from modeling to forecasting to optimization. Evaluating the benefits and risks of alternative modeling platforms and technologies and making recommendations for future use.
You will provide expert leadership in client projects through engaging directly with clients and consulting teams to bring expertise to the specific engagement. Examples include working with consulting teams to shape analytics approach, review data sciences insights, and help finalize client facing recommendations to optimize impact of insight. Developing client specific recommendations on project approach and drawing from insights across clients to support proposal phases. Coaching clients, consulting team members and Periscope leads to drive knowledge and adoption of analytical best practices for the greatest impact.
You will work with our Periscope Retail and CPG solutions teams to drive analytical innovation while also engaging clients & McKinsey consulting teams with in-project expert leadership. You will have the opportunity to drive industry defining innovation and apply that innovation to client situations where you can further refine and scale your ideas.
Founded in 2007, Periscope® by McKinsey enables better commercial decisions by developing in-house analytical approaches and software to uncovering actionable insights for our clients. The Periscope platform combines world leading intellectual property, prescriptive analytics, and cloud-based tools focused on B2C, CPG, and B2B commercial excellence, including pricing, promotions and assortment. Periscope experts work closely with clients to embed these solutions into operational IT environments and work closely with McKinsey's Marketing & Sales consultants to transform client business processes to deliver revenue growth both now and in the future. You can learn more about how Periscope's solutions and experts are helping businesses continually drive better performance by visiting http://www.periscope-solutions.com .
McKinsey's Periscope is helping to shift our Marketing & Sales Consulting model toward asset-based consulting and is a foundation for, and expands our investment in, our entrepreneurial culture. Through innovative software-as-a-service solutions, strategic acquisitions, and a vibrant ecosystem of alliances, we are redefining what it means for clients to work with McKinsey for growth.
YOUR GROWTH
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else.
When you join us, you will have:
  • Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
  • A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
  • Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
  • World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

YOUR QUALIFICATIONS AND SKILLS
  • Advanced degree in applied math, economics, statistics or other quantitative science
  • 5+ years of experience in the field of consulting and/or development, retail pricing or promotional management with experience in practical data analysis
  • Experience with advanced analytics techniques to model, forecast, and optimize decisions, particularly in pricing and promotions; includes econometric modeling, ML modeling techniques XGBoost and decision trees, and use of a Solver for optimization
  • Experience developing analytical solutions for internal or external usage
  • Advanced knowledge in statistical packages and comfort working with teams that make heavy use of Python and R
  • Experience in collaborating with a team of statistical analysts
  • Highly proficient at problem-solving challenging business issues with clients and McKinsey consultants
  • Ability to juggle overlapping and frequent challenging commitment timelines and reprioritize as necessary to meet evolving business objectives
  • Excellent communication and influencing skills that can be employed when partnering with clients and other partners to build relationships and achieve goals
  • Ability to critically evaluate and communicate business issues/risks with conviction to clients and partners

Please review the additional requirements regarding essential job functions of McKinsey colleagues.
Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

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