Senior Data Science Engineer Jobs in Indiana
Senior Data Science Engineer jobs in Indiana are actively sought across the state's growing technology, healthcare analytics, and advanced manufacturing sectors, with demand concentrated at the senior and lead levels. Indianapolis, Fort Wayne, and Bloomington anchor the hiring market, where employers like Eli Lilly, Salesforce, and Indiana University Health maintain lasting data science practices. The most in-demand specialties include machine learning engineering, predictive modeling for life sciences, and large-scale data pipeline architecture. Scan the live roles below and apply to whichever ones fit.
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Goshen College is a Christian liberal arts institution that prepares students to thrive in life, leadership and service. We strive to model an inclusive community committed to transformative justice, peace, and sustainability. A respect and appreciation of the Anabaptist- Mennonite faith perspective and practices, and a commitment to the mission, vision, core values and community standards of Goshen College, are important for teaching and administrative faculty members.
Position Summary:
Goshen College invites applications for a full-time appointment as Assistant or Associate Professor of Mathematics, Computer Science, or Data Science with expertise in one or more of the three disciplines starting July 2027. Leadership as Department Chair (with associated stipend or course release) is available for candidates with prior teaching and administrative experience seeking appointment at the Associate Professor level.
Primary teaching responsibilities will be in the areas of mathematics, computer science, and/or data science as well as updating current curriculum to reflect future trends in the fields. In addition to teaching, the position includes recruiting, advising, and mentoring an increasingly culturally, racially and religiously diverse student body and supporting departmental co-curriculars.
The mathematics and computer science department offers majors in Computer Science and Mathematics as well as minors in Computer Science, Game Development, and Mathematics. We plan to launch a Data Science major and minor in 2027-28. The department also offers some lower-level courses to serve students majoring in other disciplines. All faculty members have opportunities to develop courses within their expertise.
Goshen College is a teaching college and the courses you will teach are spread across two semesters and a May term (e.g., 4 courses in Fall, 3 in Spring, and 1 during May Term). All teaching faculty serve on institution-wide committees and assist with advising (although not usually during the first year), as well as recruiting prospective students. The successful candidate must be ready to contribute to our strong tradition of excellence in scholarship as well as teaching. Candidates must be interested in working closely with students and fellow faculty members as part of a small, vibrant campus and community.
Teaching Profile & Course Flexibility:
The department serves students across Mathematics, Computer Science, and Data Science. Teaching assignments are flexible and collaboratively arranged based on candidate expertise, departmental needs, and interest.
Successful candidates will teach a portfolio of courses across one or more of the following areas:
- Mathematics: Foundational and upper-level courses. We have a strong departmental preference for candidates capable of teaching upper-level pure and applied mathematics (e.g., Abstract Algebra, Modern Geometry, Differential Equations, Linear Algebra, and/or Calculus-based Probability & Statistics).
- Data Science: Introductory and emerging coursework for our new major/minor launching in 2027–28 (e.g., Introduction to Data Science, Data Visualization, Predictive Modeling, Machine Learning/AI, and Capstone Projects).
- Computer Science: Core and applied topics depending on background (e.g., Programming, Discrete Structures, Database Design, Web Applications, Systems
Analysis, or Software Project Management).
Candidates are not expected to cover all areas, but should demonstrate a strong interest in teaching core mathematics alongside topics in CS or Data Science, with opportunities to expand teaching breadth over time.
For those with interdisciplinary interests, there are also opportunities to teach courses in the innovative general education and global studies program, including community-engaged and service-oriented courses.
Essential Functions:
- Prepare course syllabi for assigned courses in collaboration with department chair and academic dean
- Teach assigned courses with appropriate active and engaged learning practices
- Oversee student internships
- Mentor students through advising and recruiting activities
- Develop new courses and curriculum for the program
- Participate in department, school and college meetings
- Pursue appropriate professional development opportunities, including scholarly activities
- Complete other assigned duties
Supervisory Responsibility:
- Students in assigned courses
- Student workers in department as needed
- Department faculty (for candidates interested in the Department Chair role)
Education and Experience:
Minimum Qualifications
- Master’s degree in Mathematics, Computer Science, Data Science, or a closely related field (completed by August 2027)
- Demonstrated commitment to excellence in undergraduate teaching, active learning, and student mentorship
- Commitment to working effectively with culturally, racially, and religiously diverse student populations
- Alignment with and commitment to the mission and core values of Goshen College
Preferred preparation
- Ph.D. in Mathematics, Computer Science, Data Science, or a closely related field (completed by August 2027)
- Experience in course and curriculum development relevant to mathematics, computer science, or data science
- Demonstrated experience teaching and mentoring diverse college students
- Administrative or academic leadership experience (for candidates interested in the Department Chair role)
Core Competencies and Skills:
- Pedagogy & Technology: Strong aptitude in active learning practices and educational technology across undergraduate courses.
- Discipline Knowledge: Broad understanding of current career paths and emerging trends in mathematics, computer science, and data science.
- Scholarship & Mentorship: Active engagement in relevant scholarship and interest in mentoring student research or capstone projects.
- Collaboration & Communication: Excellent interpersonal, public speaking, and relationship-building skills to collaborate across departments and participate in college service.
Work Environment/Environmental Conditions:
Mostly inside/office conditions; Temperatures are usually moderate; Artificial lighting; Some exposure to dust and molds. Must use stairs or elevators to use toilet facilities. Using computers and other office equipment; moving around campus, inside and outside.
All of the essential job functions are subject to reasonable accommodation. All job requirements listed indicate the minimum level of knowledge, skills and/or ability deemed necessary to perform the job proficiently. This job description is not to be construed as an exhaustive statement of duties, responsibilities or requirements. Individuals may be required to perform other job-related instructions as requested by the supervisor, subject to reasonable accommodation. This position description is not all-inclusive and may change at the option of the department head. Any major change will result in the position being reviewed for reclassification.
Benefits:
- Healthcare/Prescription insurance (Goshen College pays employee premium)
- Dental insurance
- Vision insurance
- Flexible Spending Account
- Life/AD&D (Goshen College pays employee premium)
- Long Term Disability (after 1 year of employment – college pays employee premium)
- Retirement (403(b))
- College contribution to retirement after 90 days
- Free membership to GC Recreation-Fitness Center
- Paid holidays
- Paid Parental Leave
- Tuition discounts
- and more
Application Process & Timeline:
Application materials may be attached to the Administrative & Teaching Faculty Application or sent electronically to [email protected].
Review of applications will begin on November 16, 2026 and will continue until the position is filled.
- Complete the online Administrative & Teaching Faculty Application
- Cover letter
- Curriculum Vitae
- Statement of teaching philosophy
- A list of three professional references with contact information
- Graduate and undergraduate transcripts (official transcripts) and background check will be required prior to hire.
E-Verify Statement of Participation
Goshen College participates in E-Verify. If you are hired, we will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.
Diversity, Equity, and Inclusion Statement
Goshen College is an equal opportunity employer, committed to enhancing diversity across the institution. Goshen College does not discriminate on the basis of race, color, national or ethnic origin, sex, disability, age, sexual orientation, gender identity or any legally protected status. As a religious institution, Goshen College expressly reserves its rights, its understandings of, and its commitments to the historic Anabaptist identity and the teachings of Mennonite Church USA, and reserves the legal right to hire and employ individuals who support the values of the college. To protect the welfare and provide for the safety of the students, employees, visitors, and resources of Goshen College, background checks are conducted by the Office of Human Resources on all new and re-hired employees.
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Where Indiana roles are concentrated, by current openings.
Senior Data Science Engineer Job Market in Indiana
A snapshot from current Indiana openings, updated as new roles post.
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What Indiana Employers Look For
The qualifications that appear most often in senior data science engineer jobs across Indiana.
- Bachelor's or master's degree in computer science, statistics, or a related quantitative field
- Five or more years of professional experience in data science or machine learning engineering
- Proficiency in Python, SQL, and at least one major ML framework such as TensorFlow or PyTorch
- Demonstrated experience deploying and maintaining machine learning models in production environments
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for data infrastructure
- Strong communication skills for presenting analytical findings to non-technical Indiana business stakeholders
Senior Data Science Engineer Jobs in Indiana: Frequently Asked Questions
How do you become a senior data science engineer in Indiana?
Becoming a senior data science engineer in Indiana typically requires a bachelor's degree in computer science, statistics, engineering, or a related field, with many Indiana employers preferring a master's degree for senior roles. There is no state-issued license for this role in Indiana. Advancement comes through building a portfolio of deployed machine learning systems, accumulating several years of progressive experience, and demonstrating leadership on cross-functional analytics projects at Indiana-based organizations.
How much do senior data science engineers make in Indiana?
Senior data science engineers in Indiana earn a median of about $91,470 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $58,750 for the lowest 10% to over $141,250 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire senior data science engineers in Indiana?
Companies currently hiring senior data science engineers in Indiana include Corteva Agriscience, MISO, and Goshen College, per current listings on Migrate Mate as of October 2026. Indiana's life sciences corridor around Indianapolis, anchored by pharmaceutical and health system employers, generates some of the most consistent senior-level data science demand in the state.
Which Indiana cities have the most senior data science engineer jobs?
Indianapolis, Carmel, and Goshen hold the most senior data science engineer openings in Indiana. Indianapolis dominates because of its dense concentration of health systems, insurance companies, and tech-sector headquarters, while Fort Wayne and Bloomington contribute openings through regional manufacturing analytics and university-affiliated research institutions that employ senior-level data professionals.
Are there remote senior data science engineer jobs in Indiana?
Yes, and more than most fields, since senior data science engineering is inherently desk-based and output-driven. About 0% of senior data science engineer openings tied to Indiana are remote or hybrid as of October 2026, reflecting the role's strong compatibility with distributed work. The portions of the role most commonly performed remotely include model development, code review, and data pipeline maintenance, while stakeholder alignment meetings sometimes draw candidates into Indiana offices.
How can I get hired as a senior data science engineer in Indiana with little or no experience?
The most realistic entry path is securing a junior data analyst or machine learning associate role first, then building toward seniority through applied project work. Indiana University, Purdue University, and Notre Dame place graduates directly into pipeline programs at Indiana employers in life sciences and finance. Building a public portfolio of end-to-end machine learning projects, contributing to open-source work, and obtaining a cloud certification such as AWS Certified Machine Learning significantly strengthens candidacy at Indiana-based employers who hire from new-grad pipelines.
Where can I find and apply to senior data science engineer jobs in Indiana?
You can find and apply to senior data science engineer jobs in Indiana on Migrate Mate, which lists current openings across the state. Search the available roles, identify the ones that match your experience and preferred location within Indiana, and apply directly to the ones that fit.
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