1

Associate Data Scientist Jobs in Minnesota (NOW HIRING)

Data Engineer - Senior Associate

Minneapolis, MN · On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Data Analyst Senior

Minneapolis, MN · On-site +1

$107K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

In contrast to an Associate, the Senior will develop more autonomy to develop solutions and may ... Degree in Business, Accounting, Finance, Economics, Analytics, or Data Science is preferred. Our ...

Data Solutions Architect

Virginia, MN · On-site

$120 - $150/hr

Bachelor's degree or equivalent experience in information technology, computer science or related ... Developed innovative architectural designs for large commercial enterprises (5000+ associates)

Staff Scientist I

Bloomington, MN · On-site

$50K - $74K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Document test results and reviews test data for accuracy and completeness * Assist with data ... Associate's degree in engineering, geology, environmental studies; or related degree. 2 years of ...

Staff Scientist I

Bloomington, MN · Hybrid

$50K - $74K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Document test results and reviews test data for accuracy and completeness * Assist with data ... Associate's degree in engineering, geology, environmental studies; or related degree. 2 years of ...

$79K - $117K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... Data Science, Public Administration, or a closely related field may count towards professional experience as follows: * Associates = 6 months. * Bachelors = 12 months. * Masters = 18 months. * PhD ...

... and scientists. For years, Abbott's medical device businesses have offered technologies that are ... The Associate Clinical Data Manager is responsible for performing data management tasks within ...

Showing results 41-60

Associate Data Scientist information

See Minnesota salary details

$56.3K

$66.6K

$126.3K

How much do associate data scientist jobs pay per year?

As of Aug 16, 2026, the average yearly pay for associate data scientist in Minnesota is $66,638.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,800.00 and $58,300.00 per year, depending on experience, location, and employer.

What does an associate data scientist do?

An Associate Data Scientist supports data-driven decision-making by collecting, cleaning, and analyzing large datasets. They use statistical methods and programming languages like Python or R to identify trends, build predictive models, and generate insights for business problems. Working under the guidance of more experienced data scientists, they also help visualize data and communicate findings to technical and non-technical stakeholders. This entry-level role often involves learning new tools and techniques while contributing to real-world projects.

What does an associate data scientist do?

The duties of an associate data scientist are to analyze statistical data analysis on large sets and identify trends by using advanced mathematical and computer science skills. Their responsibilities often include assisting in the production of statistical models, tools, and processes. They typically are in the process of pursuing a master’s degree and report to a senior data scientist. The qualifications you need are a bachelor’s degree in statistics, computer science, or a related field as well as experience working with machine-learning and data mining algorithms.

What are some typical projects an associate data scientist might work on, and how do they collaborate with other team members?

As an Associate Data Scientist, you can expect to contribute to a range of projects such as developing predictive models, analyzing large datasets to uncover business insights, and supporting the deployment of machine learning solutions. Collaboration is key; you'll often work closely with data engineers to prepare and process data, as well as with business analysts and product managers to align your findings with organizational goals. Regular meetings, code reviews, and knowledge-sharing sessions are common, providing opportunities to learn from senior data scientists and broaden your technical skills.

What are the key skills and qualifications needed to thrive as an associate data scientist, and why are they important?

To thrive as an Associate Data Scientist, you need strong analytical skills, a solid foundation in statistics, and proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Experience with data visualization tools (e.g., Tableau), machine learning libraries (e.g., scikit-learn), and database systems (e.g., SQL) is often required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating data insights into actionable business solutions. These skills and qualities are essential for extracting valuable insights from complex data and driving data-informed decision-making within organizations.

What is the difference between Associate Data Scientist vs Data Analyst?

AspectAssociate Data ScientistData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; certifications like Microsoft Excel or Tableau are common
Work EnvironmentCollaborates with data science teams, develops models, and analyzes complex datasetsPrepares reports, visualizes data, and provides insights for decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms focusing on predictive modelingCommon across various industries for business reporting and operational analysis

The Associate Data Scientist typically focuses on building models and advanced analytics, requiring programming skills and statistical knowledge. Data Analysts mainly interpret data through reports and visualizations, often with less emphasis on coding. Both roles are essential in data-driven organizations but differ in technical depth and responsibilities.

What can I do with an associate data scientist?

An associate data scientist analyzes data to identify patterns, build models, and support decision-making using tools like Python, R, or SQL. This role often involves collaborating with teams, developing predictive models, and gaining experience to advance to more senior data science positions.

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

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

What cities in Minnesota are hiring for Associate Data Scientist jobs?

Cities in Minnesota with the most Associate Data Scientist job openings:

What are popular job titles related to Associate Data Scientist jobs in MN?

For Associate Data Scientist jobs in MN, the most frequently searched job titles are:

Infographic showing various Associate Data Scientist job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $66,638 per year, or $32 per hour.

Associate Director, Assay and Process Development

Linn Products, Inc

Minneapolis, MN • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago


Job description

Reporting to the Chief Science Officer, the Associate Director, Assay and Process Development works within a high-complexity, cellular, and molecular testing laboratory to develop processes, procedures, and products from conception to production for GLP level pre-clinical test products.


Responsibilities:

  • Lead team of scientists and engineers to plan and build processes for highly complex, high quality biochemistry and cell biology laboratory testing.
  • Work directly with Principal Investigators and R&D Laboratory team to implement and maintain quality control of test processes.
  • Develop new molecular assays for pre-clinical decision making, defining mechanisms of action in complex cell assay environment.
  • Develop test quality criteria and generate data quality reports.
  • Create assay/test performance specification documents in conjunction with CSO and Assoc/Director of R&D Laboratory
  • Develop and review Feasibility and later Development Phase Plans and Reports with CSO, performing all relevant statistical analyses, and making specific recommendations based upon acceptance criteria conclusions.
  • Create, lead, execute Definitive Screening Design, Design of Experiment statistical studies to identify controlling and interacting factors in high complexity live cell assays.
  • Create and maintain process and procedure plans from concept through validation phases.
  • Develop test/process scale up plans with CSO, Assoc/Director of R&D Laboratory, Oncology investigators.
  • Create pre-clinical documentation with CSO and Director Oncology
  • Participate in review and approval processes for each phase of assay development
  • Create and implement a stringent program for maintenance and calibration of laboratory equipment with lab systems and facilities manager.
  • Work with Director R&D Laboratory and Quality Manager to maintain a safe workplace.
  • Support the Quality Manager with compliance for HIPAA requirements and laboratory standard operating procedures.
  • Support lab quality assurance/quality control (QA/QC) programs.
  • Participate in staff reviews as needed.
  • Report to work as scheduled.


Additional Duties and Responsibilities:

  • Participate in set-up of and data generation for translational medicine clinical studies.
  • Plan with other Directors and participate in routine science meetings with team members from Research, Development, and Tissue Culture Areas


Qualifications:

  • PhD/MS in related (bio)engineering field
  • Extensive experience leading teams of scientists/engineers to solve complex problems and deliver results in a timely way.
  • Extensive experience developing processes and pre-clinical assay products, developing and applying appropriate high complexity metrics and statistical analyses.
  • Experience requiring a high percentage of hands-on time in the lab leading and working with teams to build processes and successful products.

Competencies:

  • Language Ability: Ability to read and interpret documents such as safety rules, governmental regulations, and science/engineering technical or professional journals. Ability to write reports, document data; and to speak effectively before small groups.
  • Math Ability: Ability to apply fractions, percentages, reliability and validity to work situations. Ability to work with logarithms and exponents. Ability to develop complex algorithms to analyze experimental data and apply those algorithms in an economical manner to process large data sets uniformly.
  • Reasoning Ability: Ability to apply principles of scientific thinking to a range of practical and intellectual issues. Consistent use of inductive and deductive reasoning.
  • Computer Ability: Proficiency in Microsoft Word, Excel, and PowerPoint, Statistical analysis (egs. JMP, R), Design of Experiment software, MatLab or equivalent, SolidWorks or equivalent drafting software.
  • Analytical - Synthesizes complex or diverse information; Collects and researches data; Uses intuition and experience to complement data; Designs workflows and procedures. Applies complex statistical analyses.
  • Design - Generates creative solutions; Uses feedback to modify designs; Applies design principles; Demonstrates attention to detail.
  • Problem Solving - Identifies and resolves problems in a timely manner; Gathers and analyzes information skillfully; Develops alternative solutions.
  • Ethics - Works with integrity and ethically.
  • Innovation - Displays original thinking and creativity; Meets challenges with resourcefulness; Generates suggestions for improving work; Develops innovative approaches and ideas; Presents ideas and information in a manner that gets others' attention.
  • Judgment - Displays willingness to make decisions; Exhibits sound and accurate judgment; Supports and explains reasoning for decisions; Includes appropriate people in decision-making process; Makes timely decisions.
  • Planning/Organizing - Prioritizes and plans work activities; Uses time efficiently; Plans for additional resources; Sets goals and objectives; Develops realistic action plans.
  • Quality - Demonstrates accuracy and thoroughness; Looks for ways to improve and promote quality; Monitors own work to ensure quality.


    Other

    • Supervisory Responsibility: 1-5 persons as needed
    • Work Environment: This position requires the employee to work in a laboratory environment. Typically, standard business hours; flexibility required.


    About Celcuity:

    Celcuity is a commercial biotechnology company pursuing development of targeted therapies for treatment of multiple solid tumor indications. The company's first FDA-approved product is REVTORPYK (gedatolisib), a potent, pan-PI3K and mTORC1/2 inhibitor that comprehensively blockades the PAM pathway. REVTORPYK is approved to treat adults with HR+/HER2- advanced breast cancer that progressed on prior endocrine therapy in the metastatic setting.

    The Phase 3 VIKTORIA-2 trial is evaluating gedatolisib in combination with palbociclib and either fulvestrant or letrozole for the first-line treatment of HR+/HER2- locally advanced or metastatic breast cancer. A Phase 1/2 clinical trial evaluating gedatolisib in combination with darolutamide in patients with metastatic castration resistant prostate cancer, is ongoing.


    Celcuity is an Equal-Opportunity Employer.

    Celcuity is committed to fair and equitable compensation practices, and we strive to provide employees with total compensation packages that are competitive. For this role, the anticipated base pay range is $120,000 - $150,000 DOE. The exact base pay offered for this role will depend on various factors, including but not limited to the candidate's geography, qualifications, skills, and experience.


    The successful candidate will be eligible for an annual performance incentive bonus and a new hire equity package. Celcuity also offers various benefits offerings, including, but not limited to, medical, dental, vision insurance, 401(k) match, PTO, and paid holidays.


    Notice to Recruiters/Staffing Agencies

    Recruiters and staffing agencies should not contact Celcuity through this page. All recruitment vendors (search firms, recruitment agencies, and staffing companies) are prohibited from contacting our hiring manager(s), executive team members, or employees directly.


    We require that all recruiters and staffing agencies have a fully executed, formal written agreement on file. Celcuity's receipt or acceptance of an unsolicited resume submitted by a vendor organization to this website or employee does not constitute an actual or implied contract between Celcuity and such organization and will be considered unsolicited. Celcuity will not be responsible for related fees.