Data Scientist – Beverage Manufacturing – Minneapolis, MN

Are you an experienced data scientist ready to take your skills to the next level in the fast-paced beverage manufacturing industry? We are seeking a dynamic individual to join our team in Minneapolis, MN, and help drive data-driven decision-making, innovation, and operational improvements. This is an excellent opportunity for someone who thrives in a high-impact environment and has a passion for leveraging data to solve complex challenges.

Drive Data Innovation in Beverage Manufacturing

Join a leading beverage manufacturing company in Minneapolis, MN, as a Data Scientist and play a key role in transforming business insights into actionable strategies. In this position, you will work alongside cross-functional teams to develop and implement data models that enhance production efficiency, product quality, and customer satisfaction. The ideal candidate will have a strong background in machine learning, data analytics, and statistical modeling, with a focus on optimizing processes in a manufacturing setting. If you’re ready to make a significant impact and help shape the future of the beverage industry, this is the role for you.

Key Responsibilities of the Data Scientist – Beverage Manufacturing

Data Analytics & Modeling: Develop and implement data-driven models and algorithms to analyze and predict trends, identify inefficiencies, and optimize production processes. Use machine learning and statistical techniques to support business decisions and improve overall operational performance in the beverage manufacturing sector.

Operational Insights & Process Optimization: Collaborate with cross-functional teams to gather, clean, and analyze large datasets from manufacturing and production systems. Provide actionable insights to streamline production processes, reduce waste, and improve overall efficiency while ensuring product quality.

Data Visualization & Reporting: Design and maintain dashboards and reports that translate complex data into easily understandable visualizations. Present findings to senior leadership, highlighting key trends, performance metrics, and areas for improvement in manufacturing and operations.

Predictive Analytics & Forecasting: Utilize historical data and predictive analytics to forecast production needs, inventory levels, and market demand. Leverage machine learning techniques to improve forecasting accuracy and guide decision-making in supply chain and production scheduling.

Collaboration with Cross-Functional Teams: Work closely with teams in operations, supply chain, marketing, and R&D to understand business challenges and provide data-driven solutions. Contribute to the development of strategies that enhance product offerings, customer satisfaction, and market competitiveness.

Continuous Improvement: Monitor and evaluate the effectiveness of implemented data models and strategies. Suggest and implement improvements to refine algorithms and processes in line with emerging industry trends and advancements in data science technology.

Data Governance & Compliance: Ensure adherence to data governance standards, ensuring the accuracy, privacy, and security of all data used in analysis. Work within regulatory and compliance frameworks to ensure data handling practices align with industry requirements.

Innovation & R&D Support: Support the R&D team by providing data-driven insights that inform product development and innovation. Help identify opportunities for new product lines or improvements in existing products based on consumer preferences, market trends, and production capabilities.

Supply Chain & Manufacturing Analytics: Leverage data to optimize supply chain management, including supplier performance, inventory control, and distribution processes. Work with manufacturing teams to improve cost-efficiency and reduce bottlenecks across production lines.

Customer & Market Insights: Utilize consumer and market data to drive business strategies that align with customer preferences and trends. Use analytics to enhance brand positioning, product offerings, and customer engagement in the beverage manufacturing sector.

What the Client is Looking for in You

As a Data Scientist – Beverage Manufacturing, the client is seeking a highly skilled individual with the ability to turn data into actionable insights, solve complex business problems, and drive innovation within the beverage manufacturing sector. You should be a strong analytical thinker, able to use advanced data science techniques to improve manufacturing processes and product offerings, while maintaining a deep understanding of the industry’s unique challenges.

Proven Expertise in Data Science and Machine Learning

The client is looking for a data scientist with substantial experience in utilizing machine learning, statistical modeling, and data analytics to drive business decisions. You should have a proven track record of working with large datasets, building predictive models, and using advanced algorithms to uncover insights that lead to business improvements. Experience in the beverage or manufacturing industry is highly valued, though not essential.

Ability to Drive Business Insights with Data

The ideal candidate will be able to translate complex data into clear, actionable insights that support key business decisions in production, supply chain, and marketing. Your role will involve identifying trends, optimizing processes, and helping the company remain competitive in the rapidly evolving beverage industry. The client values candidates who can bridge the gap between data science and business strategy.

Strong Analytical and Problem-Solving Skills

As a data scientist, you will need to be detail-oriented and capable of solving complex problems using data-driven approaches. The client is looking for a candidate who can assess operational inefficiencies, predict production needs, and optimize resources through data analysis. Strong problem-solving abilities, combined with a methodical approach to data handling, are crucial to success in this role.

Collaboration and Cross-Functional Teamwork

The client values candidates who can work effectively with cross-functional teams, including manufacturing, marketing, R&D, and supply chain. You should have experience collaborating with non-technical stakeholders to communicate findings and implement data-driven changes that positively impact the business. The ability to collaborate and engage with teams to identify business opportunities is essential.

Advanced Data Science Skills

A deep knowledge of programming languages like Python, R, or SQL, as well as expertise in statistical analysis, machine learning, and data visualization, is necessary. The client seeks a data scientist who is proficient in using tools such as TensorFlow, scikit-learn, and other machine learning frameworks to create predictive models and analyze large datasets. Familiarity with cloud computing platforms and big data technologies is a plus.

Commitment to Data-Driven Decision Making

The client is looking for a candidate who is passionate about using data to drive decisions and achieve business goals. You should have a strong commitment to utilizing analytics to inform strategic planning, operational improvements, and customer engagement efforts. The ability to apply data science to real-world business problems is a key component of this role.

Understanding of Beverage Manufacturing Processes

While technical skills are essential, the client also values an understanding of beverage manufacturing processes, supply chain management, and industry-specific challenges. Knowledge of production workflows, inventory management, and logistics in a manufacturing environment will give you a competitive edge and allow you to deliver tailored, actionable insights.

Commitment to Continuous Learning and Innovation

The client is looking for someone who is eager to learn and stay ahead of the curve in terms of emerging data science tools, techniques, and industry trends. The ability to innovate and bring new data-driven solutions to the table will be crucial as the client seeks to enhance their position in the market and continually improve their operations.

FAQs About the Role – Data Scientist – Beverage Manufacturing – Minneapolis, MN

What are the key responsibilities of the Data Scientist in this role?

As a Data Scientist in this role, you will be responsible for leveraging advanced data analytics and machine learning techniques to improve production processes, optimize manufacturing operations, and enhance product quality. You will develop predictive models, analyze large datasets, and provide actionable insights that drive decision-making across various business functions. Additionally, you will collaborate with cross-functional teams to address challenges in supply chain management, forecasting, and customer engagement, ensuring that data-driven strategies contribute to overall business success.

What qualifications and experience are required for this position?

The ideal candidate should have a strong background in data science, machine learning, and statistical analysis, with expertise in tools such as Python, R, SQL, and data visualization platforms. A degree in Data Science, Computer Science, Statistics, or a related field is required. Experience working in the beverage or manufacturing industries is preferred but not mandatory. The client is looking for someone with a proven track record of applying data science to solve complex business problems, ideally in a manufacturing or production environment.

What skills are essential for success in this role?

Essential skills for success in this role include proficiency in data analysis, machine learning, predictive modeling, and data visualization. You should have a strong understanding of statistical methods and be capable of interpreting complex data sets. Strong communication skills are critical, as you will be presenting your findings to senior leadership and cross-functional teams. Additionally, a collaborative mindset, problem-solving abilities, and the ability to translate data insights into practical business strategies are key to succeeding in this role.

What challenges can I expect in this role?

As a Data Scientist in the beverage manufacturing industry, you will face challenges such as optimizing complex production processes, forecasting demand and inventory needs, and dealing with large volumes of operational data. You will need to work with different teams to develop data-driven solutions that improve efficiency while maintaining product quality. Additionally, adapting to changes in consumer preferences, market conditions, and supply chain disruptions will be an ongoing challenge.

What is the expected impact of the Data Scientist on the company’s growth?

The Data Scientist is expected to make a significant impact by improving operational efficiency, reducing costs, and driving data-driven innovation. By optimizing production processes and enhancing forecasting accuracy, your work will contribute directly to the company’s profitability, operational excellence, and market competitiveness. The ability to identify trends and insights that guide strategic decisions will be crucial in fostering business growth and strengthening the company’s position in the beverage manufacturing industry.

What is the company’s culture and work environment like?

The company fosters an innovative and data-driven culture where collaboration and continuous improvement are highly valued. Employees are encouraged to think creatively, work across departments, and contribute to the company’s success by providing data-based solutions. The work environment is fast-paced and results-oriented, with a focus on empowering teams to make an impact. As a Data Scientist, you will have the opportunity to work with cutting-edge technologies and contribute to the development of strategies that drive long-term growth.

What Remuneration Can You Expect from This Job?

As a Data Scientist – Beverage Manufacturing in Minneapolis, MN, you can expect a competitive compensation package that reflects your expertise and contribution to the company’s success. The remuneration for this role is designed to attract top talent in the data science field and is typically structured as follows:

1. Base Salary

The base salary for a Data Scientist in the beverage manufacturing industry varies depending on your experience, skill level, and the company’s size. On average, the annual base salary can range from $90,000 to $130,000, with the potential for higher salaries in larger organizations or for candidates with specialized experience in the industry.

2. Performance-Based Bonuses

In addition to a base salary, most Data Scientist positions include performance-based bonuses tied to individual and company performance. These bonuses can range from 10% to 20% of the base salary and are based on key metrics such as the successful implementation of data-driven projects, operational improvements, and contributions to business growth.

3. Stock Options & Equity-Based Incentives

Some companies offer stock options or equity-based incentives to align the success of the data scientist with the company’s long-term growth. This can include restricted stock units (RSUs) or performance shares, which provide financial benefits as the company performs well and increases in value.

4. Benefits & Perks

As a Data Scientist, you will also receive a comprehensive benefits package, which may include:

Health, dental, and vision insurance
401(k) retirement plans with company matching
Paid time off (PTO) and holidays
Employee wellness programs
Flexible work arrangements or remote work options
Professional development opportunities and support for certifications or advanced training

5. Signing Bonuses & Relocation Assistance

For highly qualified candidates, companies may offer signing bonuses or relocation packages to assist with the transition to Minneapolis, MN. These one-time bonuses can range from $5,000 to $15,000, depending on the candidate’s experience and the company’s hiring strategy.

Total Compensation Potential

When considering base salary, bonuses, equity incentives, and benefits, the total compensation for a Data Scientist in the beverage manufacturing sector can range from $100,000 to $160,000 annually. In some high-growth or well-funded companies, the compensation package may exceed this range, particularly if performance-based bonuses and stock options are significant components of the package.

How to Apply

If you are a data-driven professional with a passion for the beverage manufacturing industry, we encourage you to apply for the Data Scientist – Beverage Manufacturing role in Minneapolis, MN. This is an excellent opportunity to leverage your skills in data science to make a meaningful impact on manufacturing processes, product quality, and business efficiency.

To apply, please submit the following:

Your Updated Resume – Include your relevant experience in data science, machine learning, statistical analysis, and your work in the manufacturing or beverage sectors.
Cover Letter – Detail your experience with data-driven decision-making, predictive modeling, and optimizing manufacturing operations. Highlight any projects that demonstrate your ability to solve complex problems and contribute to the company’s growth. Also, provide insight into your ability to work with cross-functional teams and communicate data-driven insights effectively.
Portfolio or Case Studies (Optional) – If applicable, please include a portfolio or case studies that showcase your work on similar projects. Demonstrating your problem-solving capabilities with real-world examples will be a plus.

This role offers a significant opportunity to influence the future of beverage manufacturing through data science and analytics. We look forward to seeing how you can contribute to optimizing operations and driving innovation within the company.

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

Job Category: Beverage Manufacturing

Job Type: Full Time

Job Location: Minneapolis

Data Scientist – Beverage Manufacturing – Minneapolis, MN