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Data Optimization Jobs in Minnesota (NOW HIRING)

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

They are seeking Data Engineers to manage, transfer, manipulate, or integrate data to ensure ... optimization • Development utilizing languages such as Python, Java, JavaScript or C# • ...

Data Architect

Edina, MN · On-site

$116K - $185K/yr

Lead solution architecture rebuild efforts and ongoing optimization design for data warehouse * Support organizational change management efforts related to data initiatives, including rollout of data ...

Data Architect

Minneapolis, MN · On-site

$116K - $185K/yr

Lead solution architecture rebuild efforts and ongoing optimization design for data warehouse * Support organizational change management efforts related to data initiatives, including rollout of data ...

Data Architect

Edina, MN

$116K - $185K/yr

Lead solution architecture rebuild efforts and ongoing optimization design for data warehouse * Support organizational change management efforts related to data initiatives, including rollout of data ...

Databricks Data Engineer

Minneapolis, MN

$119K - $143K/yr

As a Databricks Data Engineer, you will support the design, build, and optimization of cloud-based data engineering solutions that enable large-scale transformation. You will work with business and ...

Senior Data Architect

Minneapolis, MN · On-site

$70.25 - $94/hr

Oversee the performance optimization, scalability and reliability of the PM2PA data flows. This may involve tuning Oracle databases or other key data sources, optimizing application performance and ...

Azure Data Engineer

Eden Prairie, MN · Remote

$116K - $140K/yr

Lead the design, development, and optimization of enterprise data platforms on Azure. This role will be instrumental in advancing our data modernization strategy, including Azure Fabric adoption ...

... optimization, with a primary focus on complex Supply Chain decisioning. • Partner with data science leadership, engineering, AI platform teams, and business stakeholders to define, prioritize, and ...

Must anticipate and identify opportunities for optimization, modernization, and innovation in data modeling and propose enhancements to align with industry advancements. Partners with data engineers ...

... Optimization and Simulation and Data Engineering (Snowflake, Oracle and SQL) 5 years of experience in designing data conformation from disparate data sources for data analytics 3 years of experience ...

... optimization, forecasting, and emerging generative AI applications. You will partner closely with ... Define and drive the strategic direction for AI and Data Science capabilities across Customer Care ...

Data Engineer Principal

Bloomington, MN · On-site

$115K - $138K/yr

HealthPartners data engineers are responsible for building, managing and optimizing data pipelines that facilitate data movement in service of these goals by implementing and testing methods (or ...

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Data Optimization information

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 is a Data Optimization job?

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.

Can I learn data analyst in 3 months?

Becoming a data analyst in three months is possible with intensive study of core skills such as Excel, SQL, and data visualization tools like Tableau or Power BI. However, developing proficiency in data analysis typically requires ongoing practice, real-world experience, and understanding of statistical concepts, which may extend beyond three months for full competency.

What is a data optimization job?

A data optimization job involves analyzing and improving data quality, structure, and storage to enhance efficiency and decision-making. Professionals in this role often use tools like SQL, Python, or data management software and require strong analytical skills to identify areas for improvement in data systems.

What is the highest paying job in data?

The highest paying roles in data often include Data Science Directors, Chief Data Officers, and Data Engineering Managers, with salaries exceeding $150,000 annually depending on experience and industry. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with relevant certifications and extensive experience.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, they do not fully replace the need for human judgment, domain expertise, and interpretative skills essential to the role of a data analyst.

What are the key skills and qualifications needed to thrive in the Data Optimization position, 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 the most commonly searched types of Data Optimization jobs in Minnesota? The most popular types of 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:
Sr Operations Research Scientist - Supply Chain Network Optimization (Python, ML, Simulation)

Sr Operations Research Scientist - Supply Chain Network Optimization (Python, ML, Simulation)

Target

Minneapolis, MN • On-site

$98K - $176K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Target rating

6.6

Company rating: 6.6 out of 10

Based on 6,822 frontline employees who took The Breakroom Quiz

14th of 39 rated national retailers


Job description

The pay range is $98,000.00 - $176,000.00

Pay is based on several factors which vary based on position.These include labor markets and in some instancesmay include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves.Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation.Find competitive benefits from financial and education to well-being and beyond at https://corporate.target.com/careers/benefits.

JOIN US AS A SR OPERATION RESEARCH SCIENTIST - SUPPLY CHAIN NETWORK OPTIMIZATION

About Us:

Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.

About this opportunity:

Do you want to shape the future Supply Chain and Logistics strategy for a fortune 50 company and one of America's leading Retailer? Do you want to optimize Target's Global Supply Chain end to end, from sourcing to delivery of packages to guest? Are you excited at the prospect of analyzing large data sets and developing complex algorithms, simulation and optimization models to solve real world problems? Then this may be the ideal career opportunity for you!

The Supply Chain Network Optimization (SCNO) team is a global team integrated in the Operations Planning and Network steering within Global Supply Chain and Logistics. We are at the forefront of defining and enabling an efficient, reliable and best in class supply chain. This team uses a wide variety of engineering and advanced applied mathematical techniques (ML, AI, OR, MILP, DES,) techniques to study and solve niche problems in supply chain across the entire value chain (Purchasing, Transportation, Multi Echelon Inventory, Last-Mile and Process Optimization) to enable the best guest experience and profitable growth for Target.

As a Sr Operation Research Scientist in SCNO, you will be studying the complex problems in supply chain, understanding the business well and develop cutting-edge solutions. The role requires you to have strong working experience with large data sets, strong programming skills (Python/R) and foundational understanding of probability theory, machine learning and Monte Carlo simulations. Extensive knowledge of statistics, operations research and discrete event simulation is ideal as well.

As a Senior Operations Research Scientist you will:

  • Know your business and understand supply chain operational metrics and cost of end to end operations of supply chain.
  • Analyze large amounts of supply chain data at the most granular level and develop key metrics to evaluate the performance and optimization opportunities for supply chain across sales, transportation, operations and inventory.
  • Perform root cause analysis to understand key drivers related to operational performance and variance in the projected outcomes.
  • Utilize operations research methodologies (linear programming, stochastic processes, simulation) to solve complex business problems.
  • Collaborate with cross-functional teams including software engineers, applied data scientists and business stakeholders to gather inputs assumptions and understand business process along the way.
  • Interpret results from the models and provide insights to the leadership team.
  • Develop a clear inferences with data to influence decision making with Sr leaders.

Core responsibilities of this job are described within this job description. Job duties may change at any time due to business needs.

About You:

  • PhD or MS in Operations Research, Industrial Engineering, Computer Science, Data Science, Applied Mathematics, Physics or equivalent work experience
  • 3+ years of industry experience in supply chain optimization, simulation and probability statistics or equivalent domain experience
  • Demonstrated programming experience using Python or R as well as advanced SQL querying skillset
  • Proven experience in data pipeline building in the Hadoop ecosystem (PySpark)
  • Extensive knowledge of supply chain concepts such as forecasting, inventory planning, optimization and logistics
  • Knowledge of statistics and data mining techniques/tools to analyze and derive insights from historical sales data and simulation or experiment results
  • Deep passion for problem solving, empirical research and continuous improvement
  • Excellent communication skill with the ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives
  • Self-driven and results oriented - able to meet tight timelines
  • Motivated, team player with ability to collaborate effectively across global team

This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target's needs. A Hybrid/Flex for Your Day work arrangement means the team member's core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target. Click here if you are curious to learn more about Minnesota.

Benefits Eligibility

Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_D

Americans with Disabilities Act (ADA)

In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.


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About Target

Sourced by ZipRecruiter

We're here to help all families discover the joy of everyday life. Target is a general merchandise retailer with stores in all 50 U.S. states and the District of Columbia. 75% of the U.S. population lives within 10 miles of a Target store. We employ 400,000+ Our tagline is "Expect More. Pay Less." We've been using it since 1994! The Target Corporation also owns Shipt and Roundel. More to love! Target is headquartered in Minneapolis, Minnesota, its hometown since the first Target store opened in 1962 under The Dayton Company.

Industry

Retail and scientific research and development services

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US