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Data Science Jobs in Racine, WI (NOW HIRING)

Senior AI Engineer - SFL Scientific

Milwaukee, WI · On-site

$103K - $141K/yr

Leverage advanced technical skills in modern data architecture, data science engineering, data transformation, and management of structured and unstructured data sources using cloud computing or on ...

MLOps Engineer II (Remote)

Menomonee Falls, WI · On-site

$97K - $134K/yr

Collaborate with Data Scientists and Engineers across the full ML lifecycle, including building and scaling ETL pipelines, deploying models into customer-facing applications, and enabling efficient ...

New

MLOps Engineer II (Remote)

$99K - $136K/yr

Responsibilities : • Collaborate with Data Scientists and Engineers across the full ML lifecycle, including building and scaling ETL pipelines, deploying models into customer-facing applications ...

New

Palantir Data Engineer | ONSITE

Milwaukee, WI · On-site

$112K - $135K/yr

Collaborate with data scientists and analysts to support their data needs * Optimize data workflows for performance and scalability * Implement data security and privacy best practices Required:

Palantir Data Engineer | ONSITE

Milwaukee, WI · On-site

$112K - $135K/yr

Collaborate with data scientists and analysts to support their data needs * Optimize data workflows for performance and scalability * Implement data security and privacy best practices Required:

Senior AI Engineer - SFL Scientific

Milwaukee, WI · On-site

$102K - $141K/yr

Required : • Bachelor's degree in a STEM field (Computer Science, Engineering, Physics, etc.) or equivalent experience • 4+ years of experience working in data engineering, data science, software ...

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Data Science information

See Racine, WI salary details

$35.2K

$115.1K

$184.3K

How much do data science jobs pay per year?

As of Jul 1, 2026, the average yearly pay for data science in Racine, WI is $115,089.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,400.00 and $127,500.00 per year, depending on experience, location, and employer.

Is data science a good career?

Data science is a growing field with high demand for professionals skilled in statistics, programming, and data analysis tools like Python and R. It offers competitive salaries, diverse industry applications, and opportunities for advancement, making it a strong career choice for those with relevant skills and education.

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, usually supported by a degree in a quantitative field. Familiarity with machine learning libraries (like scikit-learn or TensorFlow), big data tools (such as Hadoop or Spark), and data visualization platforms is typically required. Critical thinking, problem-solving, and effective communication are vital soft skills for translating complex data insights into actionable business strategies. These skills and qualities are essential for extracting value from data, driving informed decisions, and effectively collaborating with multidisciplinary teams.

Is 40 too late for data science?

Data science is a field open to individuals of all ages, and many professionals transition into it later in their careers. Success often depends on acquiring relevant skills such as programming, statistics, and machine learning, which can be learned through online courses, bootcamps, or degrees regardless of age.

What are some common challenges faced by data scientists when working with real-world datasets?

Data scientists often encounter challenges such as missing or inconsistent data, unstructured formats, and noisy information in real-world datasets. Cleaning and preprocessing data to ensure its quality can be time-consuming but is critical for building accurate models. Additionally, data scientists may work closely with domain experts and other team members to better understand the data's context and ensure their analyses align with business objectives. Overcoming these challenges requires strong problem-solving skills and effective collaboration within cross-functional teams.

What is data science?

Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract insights and knowledge from structured and unstructured data. It combines skills from statistics, computer science, and domain expertise to analyze and interpret complex data sets. Data scientists work with large amounts of data to identify patterns, make predictions, and help organizations make data-driven decisions.

What jobs can a Data Scientist do?

A Data Scientist can work in roles such as data analyst, machine learning engineer, data engineer, or business intelligence analyst. These roles involve analyzing large datasets, developing predictive models, and using tools like Python, R, and SQL to support decision-making across various industries.

What is the difference between Data Science vs Data Analyst?

AspectData ScienceData Analyst
Required skillsStatistics, programming (Python, R), machine learningData visualization, SQL, basic statistics
Work environmentDeveloping models, predictive analytics, researchReporting, data cleaning, descriptive analysis
Tools usedPython, R, Jupyter, TensorFlowExcel, SQL, Tableau, Power BI
Industry usageTech, finance, healthcare, e-commerceRetail, marketing, finance, healthcare

Data Science and Data Analyst roles often overlap but differ mainly in scope. Data Scientists focus on building predictive models and advanced analytics, requiring programming and machine learning skills. Data Analysts primarily handle data cleaning, reporting, and visualization. Both roles are essential in data-driven industries, but Data Science is more technical and research-oriented, while Data Analysis emphasizes interpreting data for business insights.

What work do you do as a Data Scientist?

A Data Scientist analyzes large datasets to extract insights, build predictive models, and inform business decisions. They use programming languages like Python or R, and tools such as SQL and machine learning frameworks, often working in collaborative environments with data engineers and analysts.

What Does a Data Scientist Do?

As a Data Scientist, you are qualified to work in such diverse fields as research and development, politics, advertising and marketing, technology, healthcare, government, and higher education as well as multiple others. In general, your duties and responsibilities will be to compile and analyze relevant statistics and turn those numbers into algorithms that reveal insights that can be used by other researchers in their areas of study. Data Science can reveal things like consumer buying habits or the likelihood of success for a course of action. Other duties might vary, depending on your unique field of specialty. Related areas in which a Data Scientist might wish to focus include work as a Data Analyst, Machine Learning Engineer, and Project Manager.
What are the most commonly searched types of Data Science jobs in Racine, WI? The most popular types of Data Science jobs in Racine, WI are:
What are popular job titles related to Data Science jobs in Racine, WI? For Data Science jobs in Racine, WI, the most frequently searched job titles are:
What cities near Racine, WI are hiring for Data Science jobs? Cities near Racine, WI with the most Data Science job openings:
Infographic showing various Data Science job openings in Racine, WI as of June 2026, with employment types broken down into 1% As Needed, 83% Full Time, 15% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $115,089 per year, or $55.3 per hour.
Research Scientist I

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


Medical College Of Wisconsin rating

8.2

Company rating: 8.2 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

113th of 544 rated colleges and universities


Job description

Summary
The Data Science Institute, in collaboration with the Department of Physiology, at the Medical College of Wisconsin seeks a highly motivated Research Scientist to join a collaborative research team focused on ontology and data curation for diverse research communities. This role supports the Hogan Laboratory in the Data Science Institute and the Rat Genome Database in the Department of Physiology by developing, maintaining, enhancing, and implementing biomedical ontologies in various software, annotation, and data management applications. The incumbent will gain experience in the theory and practice of biomedical, health, and behavioral ontologies, including advanced ontology development workflows. The incumbent will also extract relevant information from published journal articles, research laboratories, and databases and integrate this information with existing data.
A key project is the Advancing Prevention Research in Cancer through Ontology Tools (APRICOT) Project funded by the US National Institutes of Health (NIH), working with behavioral scientists and ontologists across three other European sites. This project is developing ontologies and associated tools and resources to be used in reporting behavior research. This position will work on the development of the Ontology for Modeling and Representation of Social Entities (OMRSE) and its interoperability with the Behaviour Change Intervention Ontology (BCIO).
The position also is an integral team member of the Rat Genome Database (RGD). RGD is the dedicated NIH-funded knowledgebase for the laboratory rat, along with human and several mammalian disease models; RGD curates multiple genomic data types, comprehensive disease and phenotype annotations, and develops novel tools to effectively mine, analyze and visualize the available data. The incumbent will independently conduct data curation including data acquisition, ontology development, and analysis for research projects whose focus is to provide comprehensive disease, clinical and physiological data to diverse research communities. They will work with technical team members on the development of data analytic tools and pipelines, as well as provide input into database and user interface design.
Primary Responsibilities
  • Data curation
  • Perform data acquisition and analysis, including identifying relevant sources of information, extracting clinical, disease, physiological and genetic information from text sources such as published literature and clinical records as well as web-based and other sources.
  • Develop content for web-based research resources.
  • Work with programmers and other curators to develop new and update existing data analysis tools, database design, and web interfaces.
  • Ontology development and implementation
  • Contribute to the development of the Ontology for Modeling and Representation of Social Entities (OMRSE); manage the issue tracker; create periodic releases; lead development meetings.
  • APRICOT project deliverables, including but not limited to developing interoperability between OMRSE and the BCIO and the annotation of Social Determinants of Health instruments and data.
  • Participate in APRICOT meetings, events.
  • Contribute to the development of the Rehabilitation Ontology (REHABO); manage the issue tracker; create periodic releases; lead development meetings.
  • Contribute to ontology and vocabulary development for the Rat Genome Database, including but not limited to the Rat Disease Ontology (RDO)
  • Contribute to the development of the Drug Ontology (DrOn); manage the issue tracker; create periodic releases; lead development meetings.
  • General Responsibilities
  • Mentor graduate students and contribute to training and scientific development within the lab
  • Assist with the development of grant proposals and collaborative research initiatives
  • Coordinate research study activities; lead and manage projects including presenting project updates at meetings
  • Assist in creating workshops, presentations, and educational materials
  • May oversee the work of laboratory personnel, including training and development as well as daily work direction/delegation/prioritizing
  • Other duties as assigned

Knowledge - Skills - Abilities
  • Required knowledge: ontology, terminology, controlled vocabularies, data models
  • Technical knowledge: Familiarity with Web Ontology Language, Protégé, GitHub, relational database management systems / SQL, public sequence databases, and model organism databases is highly desired
  • Enthusiastic, highly motivated, and proven ability to work independently, manage time effectively, and troubleshoot experiments
  • Strong interest and aptitude for multi-disciplinary collaboration
  • Skills and abilities: writing skills, presentation skills, organization, time management, multi-tasking.

Qualifications
Minimum Required Education: PhD in Biomedical Informatics, Ontology, Molecular Biology, Physiology, Computer Science, Artificial Intelligence, Biomedical Engineering, Bioinformatics, Biological or Health Sciences or comparable field
Preferred Experience: 5 years of research experience
  • Experience reviewing and interpreting scientific literature and research data.
  • Experience using tools for ontology development, annotation, term matching, referent tracking, semantic web.
  • Expertise using public genomic or disease data resources and software tools, data acquisition, integration or standardization; clinical, laboratory or informatics experience.
  • Work experience with collaborating with domain experts to solicit priorities for ontology development and formulating term definitions and axioms.
  • Strong publication record in peer-reviewed journals.

Appropriate experience may be substituted for education on an equivalent basis. Master's degree plus an additional minimum of 3 years of relevant research experience may be considered in lieu of a PhD.
#LI-FL1
Physical Requirements
Work requires occasionally lifting moderate weight materials, standing, or walking continuously.
Work Environment
Occasional exposure to dust, noise, temperature changes, or contact with water or other liquids. Work is performed in an environmentally controlled environment.
Sensory Acuity
Ability to detect and translate speech or other communication required. May occasionally require the ability to distinguish colors and perceive relative distances between objects.
Why MCW?
  • Outstanding Healthcare Coverage, including but not limited to Health, Vision, and Dental. Along with Flexible Spending options
  • 403B Retirement Package
  • Competitive Vacation and Paid Holidays offered
  • Tuition Reimbursement
  • Paid Parental Leave
  • Employee & Family Assistance Program (EFAP)
  • Pet Insurance
  • On campus Fitness Facility, offering onsite classes
  • Additional discounted rates on items such as: Select cell phone plans, local fitness facilities, Milwaukee recreation and entertainment etc.

For a brief overview of our benefits see: Benefits Overview
For a full list of positions see: MCW Careers
At MCW all of our endeavors, from our internal operations to our interactions with our partners, are driven by our shared organizational values: Caring - Collaborative - Curiosity - Inclusive - Integrity - Respect. We are committed to fostering an inclusive environment that values diversity in backgrounds, experiences, and perspectives through merit-based processes and in alignment with all applicable laws. We believe that embracing human differences is critical to realize our vision of a healthier world, and we recognize that a healthy and thriving community starts from within. Our values define who we are, what we stand for and how we conduct ourselves at MCW. If you believe in embracing individuality and working together according to these principles to improve health for all, then MCW is the place for you. For more information, please visit our institutional website.
MCW as an Equal Opportunity Employer and Commitment to Non-Discrimination:
The Medical College of Wisconsin (MCW) is an Equal Opportunity Employer. We are committed to fostering an inclusive community of outstanding faculty, staff, and students, as well as ensuring equal educational opportunity, employment, and access to services, programs, and activities, without regard to an individual's race, color, national origin, religion, age, disability, sex, gender identity/expression, sexual orientation, marital status, pregnancy, predisposing genetic characteristic, or military status. Employees, students, applicants or other members of the MCW community (including but not limited to vendors, visitors, and guests) may not be subjected to harassment that is prohibited by law or treated adversely or retaliated against based upon a protected characteristic.

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About Medical College of Wisconsin

Sourced by ZipRecruiter

The Medical College of Wisconsin (MCW) is an industry-leading educational institution located in Milwaukee, WI, US. Being part of the medical and health services sector, MCW's primary mission is to educate and train the next generation of healthcare professionals. MCW offers a wide array of degrees and programs within medical and health sciences, covering everything from medical, graduate, pharmacy and health sciences studies, to continuing professional developments and community engagement initiatives. Founded in 1893, MCW boasts a rich, well-entrenched history in shaping the medical education landscape locally and globally. The institution's core values of knowledge-changing life underline its dedication to incorporating innovative approaches in education and research, commitment to diversity and inclusion, service to the community, integrity, stewardship, and collaboration.

Industry

Health care and social assistance

Company size

5,001 - 10,000 Employees

Headquarters location

Milwaukee, WI, US

Year founded

1893

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