Remote opportunity at
InMarketData Scientist - Measurement
InMarket, a consumer intelligence and real-time activation platform established in 2010, is looking for a Data Scientist - Measurement to join its remote team. The organization…
Career Tools
About This Role
InMarket, a consumer intelligence and real-time activation platform established in 2010, is looking for a Data Scientist - Measurement to join its remote team. The organization specializes in targeted audience building, real-time media activation, and return on ad spend measurement through its proprietary offerings such as Moments and the LCI attribution platform. As part of the AI Engineering group, this role focuses on creating and deploying core machine learning and…
Job Description
InMarket, a consumer intelligence and real-time activation platform established in 2010, is looking for a Data Scientist - Measurement to join its remote team. The organization specializes in targeted audience building, real-time media activation, and return on ad spend measurement through its proprietary offerings such as Moments and the LCI attribution platform.
As part of the AI Engineering group, this role focuses on creating and deploying core machine learning and artificial intelligence solutions that drive advertising measurement capabilities. The position suits individuals who want to work on greenfield projects, take heavy ownership of the technology stack, and utilize agentic development tools to move concepts into production rapidly.
The successful candidate will work closely with engineering, product, data analysis, and account management teams. Daily duties include building prototypes, conducting experiments, scaling causal inference and attribution systems, and advancing marketing statistical models on petabytes of data.
Responsibilities
- Collaborate with senior team members and product stakeholders to build prototypes and advance early-stage ideas into production environments
- Assume ownership of core advertising measurement products to broaden capabilities and push performance limits
- Explore data and systems, prototype concepts, execute experiments for validation, and propose new product developments or improvements
- Partner closely with engineering and product divisions to scale causal inference and attribution measurement platforms
Requirements
- At least 3 years of experience applying modern statistical marketing models, Bayesian statistics, and causal inference to tackle data-driven problems
- Programming proficiency in Python, its data science stack, and SQL, along with a willingness to write production code
- Strong communication skills to present methodologies and findings to technical and non-technical audiences
- Experience using Claude Code, Codex, or similar agentic development tools
Qualifications
- Bachelor's degree in Statistics, Computer Science, Economics, Operations Research, or a related quantitative field, with a graduate degree preferred
- Experience building and supporting Media Mix Modeling (MMM)
- Familiarity with modern cloud infrastructure environments, specifically Google Cloud Platform and BigQuery
- Background in the digital media or advertising industry
- Experience working with Spark
Core Skills
Benefits
- Competitive salary range of USD 135,000 to 155,000 per year for eligible locations
- Stock options
- Flexible vacation and unlimited PTO within reason
- Medical, dental, and Flexible Spending Account options
- Company-matched 401(k)
- Paid paternity and maternity leave
- Agile Development Program for continued professional learning and development
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this position remote?
Yes, the posting specifies that the role is remote within the US.
What is the salary range for this role?
For eligible candidates in California, Colorado, New York City, Illinois, Minnesota, New Jersey, Vermont, and Massachusetts, the targeted base salary is $135,000 to $155,000 per year.
What level of experience is required?
Applicants must have at least 3 years of experience applying modern statistical marketing models, Bayesian statistics, and causal inference to complex problems.
What educational background is preferred?
A bachelor's degree in Statistics, Computer Science, Economics, Operations Research, or a similar quantitative field is required, and a graduate degree is preferred.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.