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Data Science Associate Jobs in La Porte, IN (NOW HIRING)

Corewell Health

RN Critical Care

Niles, MI · On-site

Assesses the overall needs of the patient/family and analyzes the assessment data to identify ... Required Associate's Degree Nursing * Required Bachelor's Degree of Science in Nursing must be ...

Spectrum Health

RN Critical Care

Niles, MI · On-site

Assesses the overall needs of the patient/family and analyzes the assessment data to identify ... Required Associate's Degree Nursing * Required Bachelor's Degree of Science in Nursing must be ...

FedEx

Retail Customer Service Associate

Notre Dame, IN · On-site

$14.75 - $16.25/hr

Ensures confidentiality of customer data and careful handling of documents, media, and packages ... science. Suggests areas for improvement in internal processes along with possible solutions.

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Showing results 21-40

All JobsData Science Associate JobsData Science Associate Jobs in La Porte, IN

Data Science Associate information

See La Porte, IN salary details

$53.2K

$63K

$119.4K

How much do data science associate jobs pay per year?

As of Sep 12, 2026, the average yearly pay for data science associate in La Porte, IN is $62,991.00, according to ZipRecruiter salary data. Most workers in this role earn between $54,600.00 and $55,100.00 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 are the most commonly searched types of Data Science jobs in La Porte, IN?

The most popular types of Data Science jobs in La Porte, IN are:

What cities near La Porte, IN are hiring for Data Science Associate jobs?

Cities near La Porte, IN with the most Data Science Associate job openings:

Data Science Associate jobs near you
Infographic showing various Data Science Associate job openings in La Porte, IN as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 79% Full Time, 13% Part Time, 1% Temporary, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $62,991 per year, or $30.3 per hour.

Tenured/Tenure-Track Faculty

Notre Dame, IN • On-site

University of Notre Dame
Colleges, Universities, and Professional Schools • 5 - 10K employees
Learn more about University of Notre Dameexternal

Full-time

Re-posted 7 days ago

University Of Notre Dame rating

7.4

Company rating: 7.4 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

Job description

Description
The University of Notre Dame invites applications for a faculty position within the College of Engineering, with a primary focus in the general field of Bioengineering. We are seeking researchers at the Associate or Full Professor rank who work at the intersection of biology and engineering. To support this cross-disciplinary search, the committee is comprised of members from the Departments of Aerospace and Mechanical Engineering (AME), Chemical and Biomolecular Engineering (CBE), Electrical Engineering (EE), and Civil and Environmental Engineering and Earth Sciences (CEEES). General inquiries may be sent to bioeng@nd.edu.
The successful candidate will lead a high-impact research program dedicated to solving fundamental challenges in human health and biotechnology. Duties will include teaching, research, and service. We are particularly interested in candidates specializing in the following areas:
  • Tissue Engineering, Disease Models, and Stem Cell Research
  • Diagnostic Tools and Devices with applications such as rural and distributed health care models
  • Frontiers in Bioengineering such as Space Bioengineering and Biocomputing

The environment for Bioengineering at Notre Dame is enriched by numerous cross-disciplinary institutes and centers, including:
  • Bioengineering and Life Sciences Initiative: (BELS Initiative)
  • Berthiaume Institute for Precision Health (BIPH)
  • Harper Cancer Research Institute (HRCI)
  • Boler-Parseghian Center for Rare and Neglected Diseases (CRND)
  • Eck Institute for Global Health (EIGH)
  • Lucy Family Institute for Data and Society (Lucy Institute)
  • Keck Center for Transgene Research (Keck Center)
  • Warren Center for Drug Discovery (Warren Center)
  • Center for Stem Cells and Regenerative Medicine (SCReM)

Qualifications
The Department seeks to attract, develop, and retain exceptional faculty members with strong records of achievement and significant future potential. The search is primarily aimed at the associate or full professor level. Candidates must have a Ph.D. in an engineering or related discipline with a robust research portfolio at the intersection of engineering and biology. Successful candidates will demonstrate the potential to achieve an internationally distinguished record of scholarship, establish a diverse, externally funded research program, excel in undergraduate and graduate education, and actively contribute to their research community.
Application Instructions
Applicants are invited to provide any or all of the following: cover letter, curriculum vitae, comprehensive research plan, statement of teaching philosophy and interests, contact information for three professional references, and statement regarding potential engagement with and commitment to the mission of the University of Notre Dame. All materials should be submitted to the application website.

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