$85k - $125k
respects the remarkable individuality of everyone's culture, history, and service. Description We are seeking a Senior Cloud Data Engineer to join our consulting team. In this role, you will design, build, and maintain s…
Engineering & IT · Indianapolis, IN
Data Scientist jobs in Indianapolis, IN
Data scientists turn raw data into decisions and products, using statistics, experimentation, and machine learning to answer questions the business could not otherwise settle.
525
Open roles today
$36–$89/hr
Typical pay range
$121k
Median, full-time
12
Fresh in this list
No email, no resume, no sign-up. Save any listing below and you start anonymously.
You're signed in. Saving a listing drops it straight into your pipeline.
01
Open data scientist roles
12 shown of 525 · sorted by freshness
We are seeking a Business Operations Analyst to drive operational efficiency and manage end-to-end data products. If you excel at bridging the gap between business operations, financial tracking, and data governance, thi…
$133.5k - $224.4k
to bring your best to work that truly matters for patients, we invite you to join us. We are seeking an experienced Senior Principal Data, Analytics & AI Engineer to join the Global DIA team within MQ Tech at Lilly. This…
$85.6k - $149.4k
The Clinical Informaticist combines clinical expertise, healthcare informatics, and data science to support the development, implementation, and optimization of Wolters Kluwer Health solutions. This role applies knowledg…
Job Family: Data Management (DTA)Travel Required:Up to 10%Clearance Required:Ability to Obtain SecretWhat You Will Do:Guidehouse is currently seeking qualified Data Analysts & Product Managers to support Guidehouse's Def…
leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global de…
DescriptionAt HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas t…
$110.7k - $218.3k
across personas such as Field Sales, KAM, MSLs, or Field Reimbursement ManagersExperience with adjacent Salesforce products such as Data Cloud, Experience Cloud, or MuleSoft based integrationsExperience delivering in a S…
$75 - $90 per hour
Epic Radiant Analyst (Remote)Position OverviewWe are seeking an experienced Epic Radiant Analyst to join our team in a 100% remote capacity. This individual will play a key role in supporting, building, optimizing, and m…
We Are:The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their bu…
to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at Are:A seasoned SAP data migration leader who thinks in blueprints and delivers at scale. You have the archit…
Job-ID28777459Reference26-18322The services You will provide the *** project team:As an SAP Business Systems Analyst Contractor, you will be responsible for analyzing business processes and requirements to design and imp…
02
What data scientists earn in Indianapolis
Hourly first — that's how the offer arrives
| Experience | Hourly | Annual, full-time |
|---|---|---|
| Entry level | $36–$49 | $74k–$102k |
| Mid level | $49–$67 | $102k–$140k |
| Senior | $65–$89 | $135k–$186k |
Adjusted for the Indianapolis market from national ranges.
03
What employers ask for
The skills these listings keep naming
Python (pandas, scikit-learn)SQLStatistics and A/B testingMachine learning fundamentalsData visualizationExperiment designCommunicating with stakeholdersDomain and product sense
04
Interview questions worth rehearsing
With the thing the interviewer is actually listening for
Walk me through a data project that changed a decision.
Structure it as question, approach, finding, action. Projects that ended in a decision — even 'we did not launch' — beat technically impressive analyses that went nowhere.
How would you design an A/B test for a new feature?
Cover the metric, randomization unit, sample size, and duration, plus a pitfall like peeking or interference. Practical rigor is what is being tested.
Your model performs well offline but poorly in production. Why might that be?
Discuss train/serve skew, data leakage, distribution shift, and feedback loops. Listing several plausible causes and how you would check each is the strong answer.
Explain p-values or confidence intervals to a non-technical stakeholder.
Use plain language and a concrete scenario, and resist overstating certainty. They are testing whether your statistics survive translation.
How do you handle missing or messy data?
First ask why it is missing — the mechanism matters more than the imputation method. Then discuss options and how the choice affects conclusions.
When would you not use machine learning for a problem?
When a rule, a query, or a simple heuristic wins on cost and interpretability. Knowing when ML is overkill signals maturity.
How do you decide which metric a team should optimize?
Talk about proxy versus true goals, gameability, and counter-metrics. A story about a metric that backfired is very effective here.
05
Resume tips that move the needle
For data scientists specifically — generic advice costs you here
01
Lead every bullet with the business result — revenue, retention, cost — and put the method second.
02
Specify your stack concretely: Python libraries, SQL dialects, experimentation platforms, and any production ML experience.
03
Distinguish shipped work from research; 'model serving 2M users' and 'notebook analysis' are different claims.
04
Keep one or two public projects or publications linkable, tailored to the industry you are targeting.
05
Name the size and kind of data you worked with — event streams, tabular, text — so teams can map you to their problems.
06
Where this role goes
Typical progression
01
Junior Data Scientist
02
Data Scientist
03
Senior Data Scientist
04
Staff Data Scientist
05
Head of Data Science
Ten quiet minutes a day
Applying for data scientist jobs in Indianapolis?
Robbi carries this page into your first day: your role, your city, your shift preference. Then it hands you a few small things each morning and keeps the pipeline honest.
Save what looks right here, then let Robbi hand you a few small things each morning and keep the follow-ups honest.
Start with this search
No email, no resume, no sign-up.
Open your tracker
Everything you saved is already there.