Senior Data Scientist I - Growth, Marketing & Sales

McKinsey & Company

Dallas (TX)

On-site

USD 176,000 - 179,500

Full time

14 days+
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Job summary

McKinsey & Company in the United States (Dallas area) seeks data science and analytics leadership to drive pricing and promotions analytics across CPG and retail. You will lead analytics initiatives, shaping modeling approaches and client-facing recommendations, while collaborating with Periscope teams to scale innovations.

The role emphasizes advanced analytics, ML techniques, and cross‑functional leadership, with a strong focus on client impact and governance.

Qualifications

  • Advanced analytics techniques to model, forecast and optimise decisions.
  • Experience with econometric modelling and ML such as XGBoost.
  • Experience developing analytical solutions for internal or external use.
  • Strong Python and R skills.

Responsibilities

  • Provide expert leadership in client projects and engage with clients.
  • Shape analytics approaches and finalise client-facing recommendations.
  • Collaborate with Periscope teams to drive analytical innovation.

Skills

Advanced analytics
Pricing & promotions
Python & R
Data analysis
Statistical packages
Team collaboration
Communication & influence

Education

Advanced degree in quantitative field

Tools

Python
R
XGBoost

Job description

Locations
  • Atlanta
  • Boston
  • Dallas
  • New Jersey
YOUR IMPACT

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 work 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 prioritization. This includes contributing to the roadmap for analytical code innovation, bringing in additional analytical features, using alternative modelling or AI/ML approaches, and automating Analytics at scale. You will drive and oversee key architectural decisions related to Analytics from modelling to forecasting to optimisation, evaluating the benefits and risks of alternative platforms and technologies and recommending future use.

You will provide expert leadership in client projects by engaging directly with clients and consulting teams to bring expertise to the engagement. Examples include shaping analytics approaches, reviewing data‑science insights, finalising client‑facing recommendations to optimise impact of insight, developing client‑specific recommendations on project approach, and coaching clients, consulting team members and Periscope leads to adopt best practices.

You will collaborate with the Periscope Retail and CPG solutions teams to drive analytical innovation while also engaging clients and McKinsey consulting teams with in‑project expert leadership. You will have the opportunity to drive industry‑defining innovation and apply it to client situations, refining and scaling your ideas.

Founded in 2007, Periscope by McKinsey enables better commercial decisions by developing in‑house analytical approaches and software to uncover actionable insights for our clients. The 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 embed these solutions into operational IT environments and work closely with McKinsey’s Marketing & Sales consultants to transform client business processes and deliver revenue growth.

McKinsey’s Periscope is shifting our Marketing & Sales Consulting model toward asset‑based consulting and expands our investment in entrepreneurial culture. Through 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 challenging. You thrive in a high‑performance/high‑reward culture – tackling hard work, bouncing back from setbacks, and showing resilience to try new approaches.

In return for your drive, determination, and curiosity, we provide the resources, mentorship and opportunities you need to become a stronger leader faster than ever thought possible. Your colleagues at all levels will invest deeply in your development, just as they invest in delivering exceptional results for clients.

When you join us, you will have:

  • Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is about helping you grow while creating an environment where feedback is clear, actionable and focused on your development.
  • 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 while upholding our unwavering commitment to ethics and integrity.
  • Global community: With colleagues across 65+ countries and over 100 nationalities, our diversity fuels creativity and helps us deliver the best solutions for clients.
  • World‑class benefits: On top of a competitive salary based on your location, experience and skills, we provide a comprehensive benefits package that supports holistic well‑being for you and your family.
YOUR QUALIFICATIONS AND SKILLS
  • Advanced degree in applied math, economics, statistics or another quantitative science.
  • 5+ years of experience in consulting and/or development, retail pricing or promotional management with practical data‑analysis experience.
  • Experience with advanced analytics techniques to model, forecast and optimise decisions, particularly in pricing and promotions; including econometric modelling, machine‑learning techniques such as XGBoost and decision trees, and use of a solver for optimisation.
  • Experience developing analytical solutions for internal or external use.
  • Advanced knowledge of statistical packages and comfort working with teams heavily using Python and R.
  • Experience collaborating with a team of statistical analysts.
  • Highly proficient at problem‑solving challenging business issues with clients and McKinsey consultants.
  • Ability to juggle overlapping, frequent challenging commitments and reprioritise as necessary to meet evolving business objectives.
  • Ability to critically evaluate and communicate business issues/risks with conviction to clients and partners.
  • Excellent communication and influencing skills that can be employed when partnering with clients and other partners to build relationships and achieve goals.

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

Certain U.S. jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role. To help you understand what you can expect, the salary range for new joiners in this role in the United States, including all office locations where the job may be performed, is $176,000 – $179,500 USD gross per year. This reflects our best estimate of the lowest to highest salary for this role at the time of this posting, ensuring you have a clear picture from the start, though it is important to remember that actual salaries may vary. Factors such as office location, your unique blend of experience and skills, start date and our current organisational 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 organisational 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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