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Scientific Machine Learning Jobs in Indiana (NOW HIRING)

Relativity

Senior Applied Scientist

Indianapolis, IN · On-site +1

Applied Science Team The Applied Science team operates at the core of Relativity's AI development ... Develop machine learning and generative AI models that ship as customer-facing product features

Indiana University

Research Scientist

Bloomington, IN · On-site

$70K - $75K/yr

There is both a scientific premise and a methodological premise underlying the project. The ... machine learning and graph theoretics, one can discover multiple developmental pathways in cross ...

ClinLab Solutions Group

Scientific Data Architect

Marion, IN · On-site

$54 - $69.50/hr

Collaborate with business analysts, scientists, and AI engineers to develop and deploy machine learning, AI, mechanistic, statistical, and hybrid models. * Iterate dynamically with end users and ...

Varsity Tutors

Data Science Tutor

Bloomington, IN · Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Valparaiso, IN · Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Varsity Tutors

Data Science Tutor

Fort Wayne, IN · Remote

$40/hr

What We Look For In a Data Science Tutor * Advanced Subject Mastery ... Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning ...

Deloitte

AI Solutions Leader

Indianapolis, IN · On-site

... machine learning, and generative artificial intelligence use cases, including secure and high-availability deployment models * Collaborating with architects, engineers, data scientists, and business ...

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Scientific Machine Learning information

What are the key skills and qualifications needed to thrive as a Scientific Machine Learning professional, and why are they important?

To thrive as a Scientific Machine Learning professional, you need a strong background in mathematics, statistics, programming (often Python), and domain-specific scientific knowledge, typically with a graduate degree in a STEM field. Proficiency in machine learning frameworks (such as TensorFlow or PyTorch), scientific computing tools (like NumPy, SciPy), and experience with high-performance computing are commonly required. Critical thinking, problem-solving, and collaborative communication are vital soft skills for designing experiments and interpreting complex data. These skills ensure robust, reproducible results and the ability to bridge scientific inquiry with advanced computational methods.

What are some common challenges faced by professionals in Scientific Machine Learning, and how can they be addressed?

Professionals in Scientific Machine Learning often encounter challenges such as integrating domain-specific scientific knowledge with machine learning models, managing large and complex datasets, and ensuring that models are interpretable and physically consistent. Collaboration with domain experts and interdisciplinary teams is essential to bridge knowledge gaps and validate results. To address these challenges, it is helpful to invest time in understanding the underlying scientific principles, keep up-to-date with advancements in both machine learning and scientific fields, and utilize specialized tools and frameworks designed for scientific data.

What is scientific machine learning?

Scientific machine learning (SciML) is an interdisciplinary field that combines principles from machine learning and scientific computing to solve complex scientific and engineering problems. It involves developing algorithms and models that can learn from data and physical laws, such as differential equations, to make predictions, optimize systems, or gain insights into phenomena. SciML is widely used in areas like physics, biology, climate science, and engineering, enabling researchers to accelerate simulations and make data-driven discoveries. The field often leverages both traditional numerical methods and modern machine learning techniques, making it a rapidly evolving area of research.

What is the difference between Scientific Machine Learning vs Data Scientist?

AspectScientific Machine LearningData Scientist
Required credentialsAdvanced degrees in CS, ML, or related fields; knowledge of scientific computingDegree in CS, statistics, or related fields; strong analytical skills
Work environmentResearch labs, academia, industry R&D teamsBusiness analytics, tech companies, consulting firms
Industry usageResearch, scientific computing, engineering simulationsBusiness insights, predictive modeling, data analysis

Scientific Machine Learning focuses on integrating scientific knowledge with machine learning techniques for research and engineering applications. Data Scientists analyze data to extract insights and build predictive models for business or operational purposes. While both roles require strong technical skills, Scientific Machine Learning emphasizes scientific computing and domain-specific modeling, whereas Data Scientists focus on data analysis and visualization.

What are popular job titles related to Scientific Machine Learning jobs in Indiana? For Scientific Machine Learning jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Scientific Machine Learning jobs in Indiana look for? The top searched job categories for Scientific Machine Learning jobs in Indiana are:
What cities in Indiana are hiring for Scientific Machine Learning jobs? Cities in Indiana with the most Scientific Machine Learning job openings:
Scientific Machine Learning jobs near you
Manager, Data Science (ML Focus) - Remote in the US

Manager, Data Science (ML Focus) - Remote in the US

Resultant

Indianapolis, IN • On-site, Remote

Full-time

Posted 22 days ago

Job description

Company Description
We are a passionate team of 300+ engineers, mathematicians, data analysts, project managers, and business consultants. But more importantly, we are active listeners, deep thinkers, and courageous problem solvers.
The Resultant team purposefully comes together to produce a positive outcome. Our name symbolizes our commitment to empathy and collaboration-of not just delivering our clients with the best solutions, but to deeply listening to them, understanding their needs, and learning from each other in the process. The force of Resultant comes from the combined knowledge, passion, and innovation of our team and partners.
Together, we partner with clients in the public and private sectors to help them overcome their most complex challenges, empowering our clients to drive meaningful change in their organizations and communities. In everything you do, you'll help your clients, colleagues, and communities thrive.
Resultant was founded as KSM Consulting in 2008.
Job Description
At Resultant, we are fearless problem solvers. We are passionate about helping our clients solve their toughest problems, while empathizing with people our solutions will help. Data analytics is a core component of how we do this. We are looking for a Senior Data Scientist / Machine Learning Engineer (DS/MLE) to add to our talented team of team of Data Scientists, Data Engineers, and Data Architects to solve some of the most exciting and challenging problems faced by companies and governments in today's fast-paced environment. As a Senior DS/MLE, you will have the opportunity to develop novel machine learning and AI solutions and deploy them to production applications and systems.
Here is what a typical day for you might look like:
  • Engaging directly with current and prospective clients to understand business needs, translate them into technical requirements, and communicate findings in a clear, actionable way
  • Partnering with internal and client stakeholders to shape solutions, develop proposals, and contribute to go-to-market initiatives
  • Design, develop and deploy efficient data pipeline for both structured and unstructured data
  • Productionize machine learning research in both on premises and cloud environments
  • Rapid prototyping solutions and integrating of new data sources
  • Drive optimization, testing and tooling to improve quality of solutions
  • Develop and apply machine learning and advanced analytics algorithms to solve problems you have never seen before
  • Collaborate with data architects and software developers to plan and construct the architecture of model deployment
  • Develop and support APIs to serve models and other data solutions
  • Continuously learning and adopting new tools and technologies to stay ahead in a rapidly evolving AI landscape

Qualifications
*This is not an entry level/recent graduate role and requires at least 5+ years of related industry experience.*
Education and Experience:
Required
  • Experience working in a consulting firm (professional services or managed services)
  • Previous experience managing a team of Data Scientists.
  • Bachelor's degree (and preferably an advanced degree) in Computer Science, Engineering, or in a quantitative field is required
  • 5+ years experience with software engineering in Python (additional languages like Scala/C++/R are a plus)
  • 3+ years experience with Databricks and/or Apache Spark
  • 3+ years experience with advanced analytics and modern machine learning techniques
  • 3+ years experience with APIs, containerization (Docker), and orchestration (Airflow)
  • 3+ experience with relational databases and SQL (Postgres, Redshift, SQL Server)
  • 3+ experience with Cloud platforms (Azure, AWS, GCP) and services
  • Proficient with version control
  • Proficient in software architecture and design patterns
  • Proficient on Linux for both development and operations

Preferred
  • Experience with deploying applications on Kubernetes
  • Experience with Palantir Foundry
  • Experience with Python API development frameworks (FastAPI, Django, Flask)
  • Experience with NoSQL and streaming platforms, e.g., Kafka, MongoDB, Neo4j

Consulting, Communication and Leadership Skills:
  • Experience working in a consulting or client-facing environment, collaborating directly with business stakeholders
  • Strong ability to translate complex technical concepts for non-technical audiences
  • Demonstrated experience contributing to business development efforts, including proposal writing, solutioning, and partnering with sales or account teams
  • Solution creativity and effective written, verbal, and presentation skills
  • Proven success working across diverse industries and project sizes with a collaborative, outcomes focused mindset
  • Entrepreneurial inclination to discover novel opportunities for applying analytical techniques to business and social problems

Additional Information
What It's Like to Work Here
At Resultant, we are driven by purpose-partnering with clients to take on their toughest challenges and creating outcomes that make a real difference. Success here means lasting impact, not just delivered projects. We work as collaborative experts, leaning into complexity with confidence and humility, asking smart questions, sharing ideas freely, and combining our diverse expertise to turn challenges into clear, transformative solutions. We make our outcomes visible by sharing results, stories, and lessons learned, because growth happens through shared experience.
Accountability & Ownership
Resultant offers a flexible, high-trust environment, paired with a shared commitment to accountability:
  • Take ownership of your work from start to finish and deliver on your commitments to clients and coworkers
  • Communicate proactively, especially when priorities shift
  • Focus on outcomes, follow-through, and measurable impact
  • Show up where it matters, in person or virtually, when it strengthens relationships or results
  • Do the small things brilliantly: respond timely, stay organized, and follow through to build trust

We trust each other to own our work and deliver exceptional results. Flexibility means autonomy paired with accountability: the freedom to work in ways that fit your life, balanced with the reliability our clients and coworkers count on.
Is Resultant the right spot for you?
You may thrive here if you bring curiosity and a consulting mindset to every challenge, take ownership of your growth, and give and receive feedback with intention. If you're energized by bold ideas, continuous learning, and investing in the people around you, this is your place. At Resultant, we show up for each other, own our outcomes, and build leaders who create lasting impact for our clients, our communities, and each other.
Equal Opportunity Employer
We embrace AI across everything we do, and that includes how you prepare for this interview. Feel free to use AI tools to research the role, practice your responses, and put your best foot forward. What matters to us is getting to know the real you - how you think, how you communicate, and what you genuinely bring to the table. Our interviews are designed to go deeper than any polished answer, so come curious and come as yourself without the support of an AI tool during our conversation.

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