Consultancies

Senior Data Scientist I - Growth, Marketing & Sales

at McKinsey & Company

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted 6 days ago

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Compensation: $176,000 – $179,500 USD
City: Atlanta, Boston, Dallas
Country: United States

Senior Data Scientist and Analytics Product Owner for Consumer-Packaged Goods (CPG) clients, responsible for leading internal data science and product development efforts as well as client-facing engagements. Focused on Innovation Leadership, defining analytics use cases, and aligning with a partner stakeholder group to prioritize and roadmap analytics capabilities, including modeling, forecasting, and optimization. Provides expert leadership on client projects, shaping analytics approaches, reviewing data science insights, and driving adoption of analytical best practices. Collaborates with McKinsey's Periscope Retail and CPG solutions teams to push analytical innovation across client engagements and scale innovative ideas.

Consulting

Senior Data Scientist I - Growth, Marketing & Sales

Job ID: 103680

Atlanta
Boston
Dallas
New Jersey

Apply Now Apply Later

Do you want to work on complex and pressing challenges—the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, 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.

Industries

Consumer Packaged Goods
Retail

+ 1 More

Capabilities

Marketing & Sales

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FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.

Certain US jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role. For new joiners for this role in the United States, including all office locations where the job may be performed, a reasonable estimated range is $176,000 - $179,500 USD —to help you understand what you can expect. This reflects our best estimate of the lowest to highest [salary/hourly wages] for this role at the time of this posting, ensuring you have a clear picture right from the start, though it's important to remember that actual salaries may vary. Factors like your office location, your unique blend of experience and skills, start date and our current organizational needs all play a part in determining the final figure. Certain roles are also eligible for bonuses, subject to McKinsey's discretion and based on factors such as individual and/or organizational performance.

Additionally, we provide a comprehensive benefits package that reflects our commitment to the wellness of our colleagues and their families. This includes medical, mental health, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement contributions program, financial guidance, and paid time off.

FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.

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Job Skill Group - N/A
Job Skill Code - SDS1 - Senior Data Scientist I
Function - Marketing & Sales
Industry - Consumer Packaged Goods;Retail
Post to LinkedIn - Yes
Posted to LinkedIn Date - Mon Dec 01 00:00:00 GMT 2025
LinkedIn Posting City - Boston
LinkedIn Posting State/Province - Massachusetts
LinkedIn Posting Country - United States
LinkedIn Job Title - Senior Data Scientist I - Growth, Marketing & Sales
LinkedIn Function - Consulting;Marketing;Research
LinkedIn Industry - Consumer Goods;Management Consulting;Market Research
LinkedIn Seniority Level - Mid-Senior level

Your Impact

Your Growth

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