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Causal Inference Jobs in Indiana (NOW HIRING)

FlixBus

Senior Data Scientist (m/f/d)

Warsaw, IN · On-site

Apply econometric and causal inference techniques -- including difference-in-differences, synthetic control, and Bayesian structural time series -- to measure the true incremental effect of marketing ...

MISO

Principal Advisor Research and Development

Carmel, IN · On-site

$168K - $193K/yr

... causal inference; (4) quantitative modeling for market functions, including Energy and Ancillary service markets, capacity market and accreditation, market-to-market seams, FTR revenue, and ...

Stryker

$35/hr

Familiarity with causal inference methods (propensity score matching, instrumental variables) and/or survival analysis * Experience with NLP applied to unstructured healthcare text * Prior coursework ...

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Causal Inference information

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$52.3K

$94.4K

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How much do causal inference jobs pay per year?

As of Sep 10, 2026, the average yearly pay for causal inference in Indiana is $94,424.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,800.00 and $103,200.00 per year, depending on experience, location, and employer.

What is a causal inference?

A Causal Inference job involves using statistical and computational methods to determine cause-and-effect relationships from data. Professionals in this field work with observational and experimental data to identify causal impacts, often in domains like economics, healthcare, social sciences, and technology. They apply techniques such as propensity score matching, instrumental variables, and difference-in-differences to ensure rigorous analysis. These roles are commonly found in academia, policy research, and data science teams within tech and finance companies. Strong skills in statistics, programming (e.g., Python, R), and experimental design are typically required.

What skills and qualifications are needed for a causal inference position?

Success in a Causal Inference role requires strong statistical knowledge, expertise in experimental and quasi-experimental methodologies, and advanced proficiency in programming languages like R or Python, typically acquired with an advanced degree in statistics, economics, data science, or a related field. Familiarity with specialized statistical software (such as Stata, SAS, or causal inference packages in R/Python), as well as experience with large datasets and machine learning tools, is highly valued. Excellent problem-solving abilities, clear communication, and collaboration skills are essential soft skills for effectively conveying complex findings to diverse teams. These competencies are critical to producing reliable insights that guide evidence-based decision-making in business, healthcare, or policy settings.

What are common challenges faced in a causal inference position?

Professionals in Causal Inference often encounter challenges such as dealing with confounding factors, addressing selection bias, and ensuring the validity of assumptions behind statistical models. They must carefully design experiments or leverage observational data while staying vigilant about potential data quality issues and model limitations. Collaboration with subject matter experts, data engineers, and business stakeholders is common to ensure accurate contextualization of results. Overcoming these challenges requires a mix of technical acumen and strong communication skills to translate complex analyses into actionable recommendations.

What are the most commonly searched types of Causal Inference jobs in Indiana?

The most popular types of Causal Inference jobs in Indiana are:

What are popular job titles related to Causal Inference jobs in Indiana?

For Causal Inference jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Causal Inference jobs in Indiana look for?

The top searched job categories for Causal Inference jobs in Indiana are:

Causal Inference jobs near you
Infographic showing various Causal Inference job openings in Indiana as of August 2026, with employment types broken down into 82% Full Time, 17% Part Time, and 1% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $94,424 per year, or $45.4 per hour.

Senior Data Scientist - Marketing Measurement & Causal Inference (m/f/d)

Warsaw, IN • On-site

FlixBus
See more jobs at FlixBusexternal

Other

Posted 13 days ago

Job description

At Flix, we offer a dynamic work environment with competitive pay, strong growth opportunities, and a tech-driven approach to making travel more accessible, sustainable, and affordable.

As a Senior Data Scientist in our Commercial & Marketing Intelligence team at Flix, you can make an impact by owning and evolving our causal measurement practice - designing and running experiments that directly shape how we allocate our global marketing budget. You will work closely with a dedicated team across Marketing & Sales, Revenue Management, Reporting, and Engineering to ensure our incrementality evidence drives smarter, more transparent choices at scale.

About the Role
  • Own the design, execution, and continuous improvement of geo-based, time-based, and synthetic control experiment frameworks, ensuring methodological rigour and scalability across global markets and channels
  • Apply econometric and causal inference techniques - including difference-in-differences, synthetic control, and Bayesian structural time series - to measure the true incremental effect of marketing activities on bookings and revenue
  • Build and manage a structured test-and-learn programme across paid channels, identifying measurement gaps and prioritising experiments by expected business value
  • Contribute to the development and validation of attribution models (CLV-MTA and MMM), providing reliable benchmarks that reduce reliance on platform self-reported data
  • Translate complex causal findings into clear, actionable recommendations for a wide range of stakeholders including marketing teams, finance, and senior management
  • Review experiment designs, create thorough documentation, and help shape internal standards for how Flix measures marketing effectiveness across all channels
About You
  • Holds a Master's or PhD in Statistics, Econometrics, Applied Mathematics, Data Science, or a related quantitative field
  • Brings 5+ years of experience in a data science or quantitative research role, with hands-on expertise in designing and evaluating causal experiments such as geo experiments, time-series holdouts, or synthetic control studies
  • Demonstrate strong command of causal inference methods including difference-in-differences, synthetic control, Bayesian structural time series, or matched market testing
  • Proficient in Python,SQL, Power BI and experienced with statistical modelling libraries such as statsmodels, PyMC, CausalImpact, or equivalent tools
  • Comfortable with version control (Git), reproducible workflows, and cloud or data warehouse environments such as BigQuery or Snowflake
  • Proven ability to present statistical findings to non-technical audiences and contribute to strategic choices with data
  • Experience in marketing measurement, media mix modelling, or growth reporting is a plus - as is familiarity with Bayesian methods

We recognize that everyone carries a unique set of valuable skills and experiences. If you think you could have an impact even though you don't meet 100% of the requirements, we still encourage you to apply. We want to hear from you!

What We Offer
  • Work from (M)Anywhere: Depending on your role, work from another location for up to 60 days per year.
  • Hybrid work model: We are an office-first company, but we offer flexibility to balance work and life.
  • Wellbeing support: Access confidential 1:1 counselling, courses, and stress management for yourself and up to four family members.
  • Learning & Development: Take advantage of language classes, training courses, and expert-led sessions to grow your skills.
  • Mentoring Program: Connect with experienced colleagues to gain insights and accelerate your career.

At Flix, you’ll find teams that rally together to overcome challenges and spark creativity. We believe in ownership culture - giving you the freedom to take initiative, make an impact, and shape your own career path.
As we continue to expand across the globe, you can make a real difference in how we work.

If you’re ready to grow and lead your journey, Flix is the place for you!

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