Senior Data Scientist – Consumer Goods – Minneapolis, MN

Are you a data-driven problem solver with a passion for leveraging analytics to transform the Consumer Goods industry? We are seeking a Senior Data Scientist to join a leading Consumer Goods company in Minneapolis, MN. This is a unique opportunity to harness advanced data science techniques, drive strategic decision-making, and deliver impactful business insights. If you thrive in a fast-paced environment and excel at predictive modeling, machine learning, and data visualization, this role is for you.

Lead Data-Driven Innovation in Consumer Goods

A premier Consumer Goods company in Minneapolis, MN is looking for a Senior Data Scientist to advance their data strategy and optimize business outcomes. The ideal candidate will have extensive experience in statistical modeling, AI, and machine learning, along with a deep understanding of consumer behavior and market trends. If you are passionate about using data science to unlock growth opportunities, enhance customer insights, and streamline operations, this is your chance to make a significant impact.

Key Responsibilities of the Senior Data Scientist – Consumer Goods

Advanced Data Analysis & Modeling:

Develop and deploy predictive models, machine learning algorithms, and AI solutions to drive data-informed decisions.
Create statistical models to forecast sales, consumer trends, and demand fluctuations.
Identify patterns in large datasets to uncover business opportunities and mitigate risks.

Business Insights & Strategy:

Translate complex data into actionable insights for marketing, product development, and supply chain teams.
Collaborate with leadership to shape data-driven strategies that enhance operational efficiency and customer engagement.
Provide recommendations for pricing strategies, product innovations, and market expansions based on data trends.

Consumer Behavior Analysis:

Leverage data science techniques to analyze customer purchase patterns, preferences, and feedback.
Build customer segmentation models to personalize marketing campaigns and boost retention.
Identify key drivers of customer satisfaction and loyalty within the Consumer Goods space.

Data Visualization & Reporting:

Design interactive dashboards and data visualizations using tools like Tableau, Power BI, or similar platforms.
Present data insights to executive teams and non-technical stakeholders, ensuring clarity and impact.
Generate comprehensive reports that highlight key performance metrics and trends.

Cross-Functional Collaboration:

Work closely with product managers, marketers, and supply chain leaders to integrate data science into business processes.
Align data science projects with company goals and ensure seamless execution.
Foster a data-driven culture by training teams on data literacy and best practices.

Technology & Innovation:

Utilize cloud platforms (AWS, Google Cloud, or Azure) to process and analyze large-scale datasets.
Stay updated on emerging technologies in AI, machine learning, and data engineering.
Develop and maintain scalable data pipelines and infrastructure.

What the Client is Looking for in You

The client is seeking a Senior Data Scientist – Consumer Goods with the technical expertise, strategic mindset, and business acumen to turn data into impactful business solutions. You should be a proactive, results-oriented data scientist who thrives on solving complex problems and driving innovation through analytics.

Proven Expertise in Data Science & AI

The ideal candidate will have a strong track record of developing and deploying machine learning models and predictive analytics solutions. Experience with deep learning frameworks (TensorFlow, PyTorch) and programming languages (Python, R, SQL) is highly valued.

Strategic Thinker with Business Acumen

You should be skilled at aligning data science initiatives with business goals. The client values professionals who can use data to shape strategies for revenue growth, customer retention, and product innovation.

Strong Analytical & Problem-Solving Skills

As a Senior Data Scientist, you must excel at analyzing large datasets, identifying trends, and providing data-driven recommendations. Your ability to uncover insights and translate them into actionable business strategies is essential.

Consumer-Centric Mindset

A deep understanding of consumer behavior and market dynamics within the Consumer Goods industry is key. The client seeks someone who can leverage data to enhance customer experiences, optimize pricing, and drive targeted marketing strategies.

Collaborative & Influential Leader

You will work cross-functionally with teams across product, marketing, and operations. Strong communication skills and the ability to present complex data to non-technical stakeholders are crucial.

FAQs About the Role – Senior Data Scientist – Consumer Goods – Minneapolis, MN

What are the key responsibilities of the Senior Data Scientist in this role?
As a Senior Data Scientist, you will be responsible for developing and deploying advanced data models and algorithms to solve business challenges within the Consumer Goods sector. Your key tasks will include analyzing large datasets to uncover trends, building predictive models for sales forecasting, optimizing supply chains, and enhancing customer insights. You will collaborate closely with cross-functional teams, including marketing, operations, and product development, to drive data-informed decision-making and business growth.
What qualifications and experience are required for this position?
The ideal candidate should have a strong background in data science, machine learning, and statistical modeling. A degree in Data Science, Computer Science, Statistics, or a related field is required, with a Master’s or PhD being a plus. Experience with programming languages like Python, R, and SQL, as well as familiarity with data visualization tools (Tableau, PowerBI), is essential. Prior experience in the Consumer Goods or Retail industry is highly preferred, along with a proven track record of building scalable models and delivering actionable insights.
What technical skills are essential for this role?
The client is looking for expertise in machine learning algorithms, statistical analysis, data wrangling, and cloud platforms (AWS, Google Cloud, or Azure). Proficiency in AI techniques, natural language processing (NLP), and predictive analytics is also highly valued. Strong data storytelling and visualization skills are important, as you will be translating complex data findings into clear business strategies for non-technical stakeholders.
What challenges can I expect in this role?
As a Senior Data Scientist in the Consumer Goods space, you will face challenges like handling unstructured and dynamic data, predicting ever-changing consumer behaviors, and integrating data from various sources, including sales, marketing, and supply chain. You may also work on developing real-time analytics models to support pricing strategies and inventory management. Ensuring data accuracy, managing large datasets, and driving innovation through AI will be key challenges.
What is the expected impact of the Senior Data Scientist on the company’s growth?
You will play a crucial role in helping the company make data-driven decisions that enhance product strategies, optimize operations, and boost customer engagement. Your insights will directly influence marketing campaigns, demand forecasting, and pricing models — ultimately driving revenue growth and competitive advantage. By building innovative data solutions, you will contribute to both short-term business wins and long-term strategic goals.
What is the company’s culture and work environment like?
The company fosters a collaborative, fast-paced, and data-centric culture. They value innovation, continuous learning, and teamwork. As a Senior Data Scientist, you will work in an environment where curiosity is encouraged, and your analytical skills will be instrumental in shaping product and business strategies. The company supports professional growth and offers opportunities to work with cutting-edge technologies and tools.

What Remuneration Can You Expect from This Job?

As a Senior Data Scientist – Consumer Goods – Minneapolis, MN, you can expect a competitive compensation package that reflects your expertise in data science, machine learning, and business impact. The remuneration typically includes the following components:

Base Salary
The base salary for a Senior Data Scientist in the Consumer Goods industry in Minneapolis typically ranges from $120,000 to $160,000 annually. Compensation may vary based on your experience level, technical skills, and the company’s size and market position.
Performance-Based Bonuses
In addition to your base salary, you may be eligible for performance-based bonuses tied to business outcomes, such as improvements in sales forecasting, customer insights, or operational efficiency. These bonuses usually range from 10% to 25% of your base salary, depending on individual and company performance.
Equity & Stock Options
Some companies, especially high-growth or publicly traded firms, offer equity-based incentives like stock options or restricted stock units (RSUs). These incentives align your financial rewards with the company’s long-term success and can significantly enhance your overall compensation package.
Profit-Sharing & Long-Term Incentive Plans (LTIPs)
Certain Consumer Goods companies may offer profit-sharing plans or long-term incentive plans (LTIPs), rewarding you for contributing to sustained company growth. These programs typically pay out annually or over a multi-year period, providing an added financial benefit beyond your salary.
Comprehensive Benefits Package
As a Senior Data Scientist, you can also expect a comprehensive benefits package that includes:
- Health, dental, and vision insurance
- 401(k) retirement plans with company matching
- Paid time off (PTO) and sick leave
- Professional development funds for attending data science conferences or obtaining certifications
- Remote or hybrid work flexibility, depending on company policy
Signing Bonuses & Relocation Assistance
For top candidates, companies may offer a signing bonus or relocation assistance. Signing bonuses can range from $5,000 to $20,000, depending on the company’s budget and the strategic importance of the role.

Total Compensation Potential

When combining base salary, bonuses, equity, and additional perks, the total compensation for a Senior Data Scientist in the Consumer Goods sector in Minneapolis can range from $140,000 to $200,000+ annually. High-performing individuals in innovative or rapidly growing companies may earn even more through performance incentives and stock options.

How to Apply

If you are an innovative data science professional with a strong background in Consumer Goods (CPG) analytics, we encourage you to apply for the Senior Data Scientist role in Minneapolis, MN. This is an exciting opportunity to work on cutting-edge data projects, influencing key business decisions, and driving growth through data-driven strategies within the CPG industry.

To apply, please submit your resume and a cover letter outlining your experience in data science, machine learning, and statistical modeling, particularly within the consumer goods sector. In your cover letter, demonstrate your ability to work with large datasets, optimize business processes, and translate complex data insights into actionable strategies that enhance business performance.

This role offers a challenging and rewarding opportunity to shape the data strategy of a leading company in the CPG industry, enabling them to gain a competitive edge through data-driven decision-making. Apply today to elevate your career as a Senior Data Scientist in Minneapolis, MN!

For more information or to explore similar opportunities, visit our Data Science Careers Page.

Job Category: Consumer Goods

Job Type: Full Time

Job Location: Minneapolis

Senior Data Scientist – Consumer Goods – Minneapolis, MN