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Data Optimization Jobs in Minnesota (NOW HIRING)

Genesis10

Senior SEO Analyst - Remote

Rochester, MN · On-site

$65 - $67/hr

This role requires experience working with data using tools such as Python, APIs, and Google Search Console. Key Responsibilities: * Develop and prioritize implementation of SEO recommendations for ...

Collabera

SEO Specialist

Eagan, MN · On-site

Provide data and files for local onsite optimization. Update local listings as customer contact information changes. Leadership and Partnership: Research industry leading publications to keep up-to ...

Vantive

Data Scientist - Sciences

Oakdale, MN · On-site

The Data Scientist will be responsible for supporting the Global R&D Sciences team to design experiments and analyze data optimizing experimental efficiency and minimize the risks of accuracy ...

Vantive

Data Scientist - Sciences

Oakdale, MN

The Data Scientist will be responsible for supporting the Global R&D Sciences team to design experiments and analyze data optimizing experimental efficiency and minimize the risks of accuracy ...

Collabera

SEO Specialist

Eagan, MN · On-site

Provide data and files for local onsite optimization. Manage workflow through company business systems and work plans. Update local listings as customer contact information changes. Research industry ...

Graco

Manager, Inventory Optimization

Rogers, MN · On-site

Data Management & Analytics Strategy * Develop and drive the vision and execution of the Materials Inventory optimization strategy and governance, including using scientific methods, processes ...

Precision Technologies Corp

GCP ML Architect - Data

Chaska, MN · On-site

$68.25 - $88/hr

Design and implement scalable, secure, and cost-optimized cloud infrastructure using GCP services like BigQuery, Dataflow, Dataproc, Cloud Storage, and Kubernetes Engine. * Design and implement data ...

Software Technology Inc

Data Engineer (LATAM)

Minneapolis, MN · On-site

$119K - $143K/yr

Data Engineer The team requires: Minimum 5 years of hands-on experience in data engineering roles ... writing optimized and efficient SQL queries. Familiarity with Snowflake technologies and its ...

Software Technology Inc

Data Engineer (LATAM)

Minneapolis, MN · On-site

$119K - $143K/yr

Data Engineer The team requires: Minimum 5 years of hands-on experience in data engineering roles ... writing optimized and efficient SQL queries. Familiarity with Snowflake technologies and its ...

twoharbors

Data Engineer

Minneapolis, MN · On-site

$95K - $120K/yr

Optimizing complex SQL queries, indexing strategies and execution plans to handle large datasets ... A data-centric role within a collaborative data and technology team * Writing and optimizing ...

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Data Optimization information

What is a data optimization?

A Data Optimization job involves improving the efficiency, accuracy, and accessibility of data within an organization. Professionals in this role analyze large datasets, refine data structures, and implement strategies to enhance data processing and storage. They work with data engineers, analysts, and business teams to ensure data supports performance goals and decision-making. Common tasks include cleaning data, reducing redundancies, and optimizing database queries.

What are the key skills and qualifications needed to thrive in data optimization, and why are they important?

To thrive in Data Optimization, you need strong analytical skills, expertise in data modeling, and a solid foundation in statistics or mathematics, usually supported by a relevant degree. Familiarity with tools such as SQL, Python, R, and data visualization platforms like Tableau, as well as certifications in data analytics or optimization software, is highly beneficial. Effective communication, problem-solving abilities, and a collaborative mindset are key soft skills for this role. These competencies are crucial for translating complex data into actionable insights that drive business efficiency and performance improvements.

What are some typical challenges faced in a data optimization role?

Professionals in Data Optimization often encounter challenges such as working with incomplete or inconsistent datasets, integrating data from multiple sources, and ensuring data quality and accuracy throughout the optimization process. Balancing technical efficiency with business objectives and communicating complex analytical findings in easily understandable ways can also be demanding. Collaboration with cross-functional teams is frequent, requiring both strong technical and interpersonal skills. Overcoming these challenges helps ensure that optimization projects deliver meaningful value and measurable impact for the organization.

What are the most commonly searched types of Data Optimization jobs in Minnesota?

The most popular types of Data Optimization jobs in Minnesota are:

What are popular job titles related to Data Optimization jobs in Minnesota?

For Data Optimization jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Data Optimization jobs in Minnesota look for?

The top searched job categories for Data Optimization jobs in Minnesota are:

What cities in Minnesota are hiring for Data Optimization jobs?

Cities in Minnesota with the most Data Optimization job openings:

Data Optimization jobs near you
Infographic showing various Data Optimization job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Sr. Data Scientist - Network Modeling & Optimization

Best Buy

Richfield, MN • Hybrid

Full-time, Part-time

Retirement, PTO

Posted 11 days ago

Best Buy rating

6.8

Company rating: 6.8 out of 10

Based on 1,793 frontline employees who took The Breakroom Quiz

14th of 30 rated technology retailers

Job description

The Sr. Data Scientist - Network Modeling & Optimization will be a senior technical contributor responsible for leading complex analytical and modeling projects and supported by a small dedicated team of Data Scientists. This role's primary responsibility will be updating, running and improving existing Supply Chain network models to support business planning and one-off decisions both tactical and strategic.  The role will be hands-on. The role will also assist and advise in the development of new models and readiness for production.
The Network Modeling & Optimization team within Supply Chain Analytics develops analytical capabilities that help Best Buy evaluate its supply chain network across cost, capacity, customer service, product flow, inventory placement, and operational feasibility.
This role is hybrid, which means you will be required to work up to three days/week on site at the Best Buy corporate office in Richfield, Minnesota. You can work virtually from home or another non Best Buy location on days not expected in the office. The recruiter or hiring manager will provide more details during the hiring process.
What You'll Do
  • Develop and maintain analytical inputs and optimization models representing facilities, transportation lanes, demand, product flows, costs, capacities, service requirements, and business rules.
  • Evaluate strategic and tactical scenarios involving facility location, network assignments, capacity, sourcing, inventory placement, transportation, and product flow.
  • Validate model behavior, diagnose infeasibilities and data-quality issues, and clearly communicate assumptions, limitations, tradeoffs, and recommendations to business and technical stakeholders
  • Translate ambiguous supply chain questions into structured analytical problems by defining objectives, available decisions, constraints, assumptions, data requirements, and expected outputs.
  • Ability to translate complex physical processes into simplified functions that preserve the essential real-world characteristics but simple enough to become inputs for mathematical models.  
  • Support complex network modeling and optimization projects from business-problem definition through model development, validation, interpretation, and recommendation.
  • Provide technical guidance and mentorship to Data Scientists and analysts while establishing reusable modeling practices, documentation standards, and quality controls.

Basic Qualifications
  • Bachelor's degree in Operations Research, Industrial Engineering, Mathematics, Statistics, Computer Science, Economics, Engineering, Supply Chain Analytics, or a related quantitative field-or equivalent experience.
  • 4+ years of relevant experience in data science, operations research, optimization, supply chain analytics, forecasting, simulation, or a related analytical field.
  • 4+ years of leading complex analytical projects and translate ambiguous business questions into structured modeling approaches.
  • 4+yearshands-on experience using data analytics (e.g., SQL, Python, R), and machinelearningand/or optimization tools (i.e., Python, R,Gurobi, Vertex AI).
  • Strong knowledge of optimization, operations research, statistical modeling, forecasting, simulation, machine learning, or another advanced analytical discipline.
  • Ability to explain technical concepts, model results, and business recommendations clearly to technical and non-technical audiences.
Preferred Qualifications
  • Advanced degree in Operations Research, Industrial Engineering, Mathematics, Statistics, Computer Science, Supply Chain Analytics, or a related quantitative field.
  • Experience with supply chain network design, transportation, distribution, fulfillment, inventory, logistics, or capacity planning.
  • Experience developing optimization models using methods such as linear programming, mixed-integer programming, network flow, facility location, or assignment modeling.
  • Experience defining model inputs, decision variables, constraints, objective functions, scenarios, and outputs-and diagnosing model infeasibilities.
  • Familiarity with AIMMS or comparable optimization platforms, libraries, or solvers. Direct AIMMS experience is preferred but not required.
  • Experience providing technical leadership, mentoring Data Scientists or analysts, and communicating recommendations to business leaders.
 
What's in it for you
We're committed to helping our people thrive at work and at home. Best Buy offers a range of benefits to support your overall well-being and provide support as you need it, especially at key moments in your life.
Our benefits include:
  • Competitive pay
  • Great employee discount
  • Financial savings and retirement resources
  • Support for your physical and mental well-being
Best Buy provides different types of leaves of absence (LOA) and potential pay sources to employees based on eligibility. The length of your LOA depends on your situation, where you live, your full-time or part-time employment status, and federal and state regulations. Intermittent or reduced-schedule leave is also available for certain medical or family care leaves. Paid time off (vacation or PTO) is offered to full-time and part-time employees based on work location, employment status, salary or hourly status (exempt/non-exempt), and years of continued or bridged service.
Certain roles, where market norms demand it, are eligible for various forms of incentive pay to drive performance and offer recognition for achieving financial and strategic results. For more information about our incentive pay plans, including eligibility, please refer to our Incentive Programs Summary.
For more information about benefits, LOA and paid time off, please refer to our Benefits Guide.
About us
As part of the Best Buy team, you'll help us fulfill our purpose to enrich lives through technology. We bring that to life every day by humanizing and personalizing tech solutions for every stage of life - in our stores, online and in customers' homes.
Our culture is built on deeply supporting and valuing our amazing employees who make it all possible. We're committed to being a great place to work, where you can unlock unique career possibilities. Above all, we aim to provide a place where you can bring your full, authentic self to work now and into the future. Tomorrow works here.
Best Buy is an equal opportunity employer.
Application deadline: Minimum of 5 days from the posting date. You can find that date above the job title at the top of the page.

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About BEST BUY

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As part of the Best Buy team, you'll help us fulfill our purpose to enrich lives through technology. We bring that to life every day by humanizing and personalizing tech solutions for every stage of life -- in our stores, online and in customers' homes. Our culture is built on deeply supporting and valuing our amazing employees who make it all possible. We're committed to being a great place to work, where you can unlock unique career possibilities. Above all, we aim to provide a place where you can bring your full, authentic self to work now and into the future. Tomorrow works here.™

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Richfield, MN, US

Year founded

1966

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