We are K1x. Our platform powers the first fully digital K-1, transforming how alternative investment tax data is extracted, validated, distributed, and analyzed. Trusted by leading institutional investors, fund administr…
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.
498
Open roles today
$36–$89/hr
Typical pay range
$121k
Median, full-time
4
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 498 · sorted by freshness
We're Hiring: W2 Business Analyst Location: On-site / Hybrid / Remote Experience: 2 5 Years Employment Type: Full-time (W2) Work Authorization: Candidates must be eligible to work on a W2 basis. About the Role We are loo…
Sr. Civil Engineer Sr. Civil Engineer For over four decades, Schmidt Associates has built our entire approach on the idea of Servant Leadership. As servant leaders, our design team seeks to deeply understand our clients…
$70.12k
compensation package. A Day in the Life: The essential functions of this role are as follows: Develops and manages metadata and data dictionaries for principal data assets; Identifies the technical metadata sources, defi…
$33 - $45 per hour
W2 ONLY, NO C2C 3 Days Onsite in Indianapolis, IN / 2 Days Remote Business Analyst / Data Analytics Analyst - Top 5 Skills Power BI Dashboard Development Building executive-facing dashboards, visualizations, KPIs, and re…
understood and are of high quality. Follow the Apex Benefits preferred method to track all communication which supports and discloses data for client and vendor files, including though not limited to applicable e-mails,…
$115k - $149k
everyone's culture, history, and service. Description We are looking for a Senior Analytics Engineer to sit at the intersection of data engineering and analytics. You will own the transformation layer of data platforms —…
$80k - $129k
contract requirements. Support audit readiness by maintaining accurate, version-controlled documentation in accordance with contract data management policies. Identify and escalate risks and issues related to scope, requ…
Overview Analyst- Data Intermediate Our leaders shape strategic initiatives, develop passionate teams, and work to improve health outcomes. They advance our mission and exemplify excellence, compassion, teamwork and purp…
Overview Analyst-Information Services Data Intermediate Our leaders shape strategic initiatives, develop passionate teams, and work to improve health outcomes. They advance our mission and exemplify excellence, compassio…
Indianapolis, IN. Candidates within a drivable commute distance to Indianapolis will be considered. If you're passionate about leveraging data to drive business solutions, this role offers the opportunity to make a meani…
a company where your contributions truly matter, and where you'll be part of a supportive, innovative team? MMS is a award-winning, data- focused clinical research organization (CRO). We pride ourselves on being a Great…
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.