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Data Science Associate Jobs in Apple Valley, MN (NOW HIRING)

Pwc

Data Engineer - Senior Associate

Minneapolis, MN · On-site

$77K - $202K/yr

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

Abbott

Associate Clinical Data Manager

Maple Grove, MN · On-site

... 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 ...

Abbott

Associate Clinical Data Manager

Maple Grove, MN · On-site

... 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 ...

Pwc

US Tech - FTO Senior Associate

Minneapolis, MN · On-site

$55K - $187K/yr

As a Senior Associate, you will build meaningful client connections and learn how to manage and ... Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management ...

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All JobsData Science Associate JobsData Science Associate Jobs in Apple Valley, MN

Data Science Associate information

See Apple Valley, MN salary details

$59K

$69.9K

$132.4K

How much do data science associate jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data science associate in Apple Valley, MN is $69,858.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,600.00 and $61,100.00 per year, depending on experience, location, and employer.

What is a data science associate?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What are the key skills and qualifications needed to thrive as a data science associate?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

How does a data science associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

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

AspectData Science AssociateData 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; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What can I do with an associate's degree in data science?

A Data Science Associate with an associate's degree can work as a data analyst, supporting data collection, cleaning, and basic analysis using tools like Excel, SQL, and Python. They often assist in generating reports, visualizations, and insights under supervision, and may pursue certifications to advance into more specialized roles.

What cities near Apple Valley, MN are hiring for Data Science Associate jobs?

Cities near Apple Valley, MN with the most Data Science Associate job openings:

Data Science Associate jobs near you
Infographic showing various Data Science Associate job openings in Apple Valley, MN as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $69,858 per year, or $33.6 per hour.

Associate Director Senior Data Analyst (Clinical Sciences)

BioNTech SE

Saint Paul, MN • On-site

$146K - $234K/yr

Full-time

Re-posted 12 days ago

Job description

Munich, Germany; Cambridge, US; Gaithersburg, US; Mainz, Germany; New Jersey, US | full time | Job ID: 11529
About the role
As Associate Director, Senior Data Analyst liaises with Clinical Science to understand business needs and identify solutions that align to overall strategies. Reviews, analyzes and evaluates business systems and user needs while acting as a technical SME in Clinical Data and Analytics.
Your main responsibilities
  • Represent DDI as data analyst and technical SME across Clinical functional areas
  • Document Data Transfer Agreements (DTAs) for external data exchange
  • Define and document data transformation logic and support implementation
  • Partner with Clinical stakeholders to evaluate business systems and needs
  • Support planning, prioritization, delivery, and operations of Clinical solutions
  • Develop and maintain process documentation (current and to-be)
  • Define system, functional, and business requirements
  • Provide technical SME support for clinical systems (EDC, Elluminate, Databricks, analytics tools)
  • Support implementation and onboarding of new Clinical solutions
  • Manage vendor interactions and ensure service delivery and troubleshoot system and operational issues
  • Coordinate service operations and SLA compliance, support Computer System Validation (CSV) and GxP processes
  • Maintain validation documentation (URS, IQ/OQ/PQ, traceability, reports) and ensure alignment with quality systems and operational procedures

What you have to offer
  • Bachelor's or higher degree in a relevant scientific or technical field
  • 10 -12+ years experience in Clinical Operations/Data Management
  • Strong understanding of Clinical business processes
  • Experience in process development, mapping, and gap analysis
  • Experience working with vendors and maintaining systems
  • Hands-on experience with SQL, reporting tools (e.g., Spotfire)
  • Knowledge of GxP, CSV, and SDLC and strong understanding of Clinical systems and data
  • Ability to translate business requirements into technical solutions and strong collaboration across business and IT teams
  • Ability to operate in global matrix organizations and strong communication and stakeholder engagement skills
  • Ability to manage change and prioritize based on business value

Your benefits and remuneration:
If the position is filled in the US, the Expected Pay Range is $146,300/year to $234,100/year + benefits, annual bonus & equity (bonus and equity is variable and dependent on company and individual performance). Compensation for the role will depend on several factors, including responsibilities of the job, education, experience, knowledge, skills, and abilities.
Compensation at other locations may vary significantly.
BioNTech is committed to the wellbeing of our team members and offers a variety of benefits in support of our diverse employee base. We offer competitive remuneration packages which is determined by the specific role, location of employment and also the selected candidate's qualifications and experience.
Note: The availability, eligibility and design of the listed benefits may vary depending on the location. The final requirements for the individual use of our benefits are based on the company's internal policies and applicable law.
How to apply:
Apply now by sending us your application documents including Curriculum Vitae, copy of ID, copies of degree certificates and professional certificates, motivation letter as well as your contact details via our online form.
Please note:
Only applications sent via our online form shall be considered. By submitting your application, you acknowledge that a background check will be conducted as part of the recruitment process in accordance with applicable laws and regulations. If you are considered for the position, BioNTech will conduct the background check through our service provider 'HireRight'. You will be informed accordingly by your BioNTech-Recruiter.
We are looking forward receiving your application.
Inspired? Become part of #TeamBioNTech.
BioNTech, the story
At BioNTech, we are more than just a biotechnology company - we are a community of innovators, scientists, and leaders dedicated to revolutionizing medicine by translating cutting-edge science into survival. Your contributions here have the potential to improve the health of people worldwide, especially by addressing diseases with high medical needs like cancer and various infectious diseases.
Experience a dynamic workplace that embraces diversity in all its forms. We foster innovation, encourage creativity, and develop business strategies driven by our shared passion for advancing medicine.
Working at BioNTech means striving to achieve medical breakthroughs while growing your career in a meaningful way. Apply today and become part of a mission that has the potential to change lives around the world.
BioNTech does not tolerate discrimination, favoritism or harassment based on gender, political views, religion or belief, nationality, ethnic or social origin, age, sexual orientation, marital status, disability, physical appearance, health status or any other physical or personal characteristics. BioNTech is committed to creating a diverse and inclusive work environment. We are proud to be an equal opportunity employer. The main thing is that you suit us, and we suit you!
BioNTech - As unique as you
www.biontech.com

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