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Remote Product Data Scientist Jobs (NOW HIRING)

This is a highly autonomous, product-focused role. You'll partner with Product, Data, and ... CPG / FMCG / retail experience, or work with user-level purchase or panel data #LI-Remote There is ...

New

Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ... Collaborate with data engineers to integrate models into production environments, including ...

Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ... Collaborate with data engineers to integrate models into production environments, including ...

The Data Scientist will report to the Director, Data Science & Analytics in the CDB Strategy Department. This role is responsible for participating in team building business intelligence through the ...

New

Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ... Collaborate with data engineers to integrate models into production environments, including ...

Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ... Collaborate with data engineers to integrate models into production environments, including ...

Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ... Collaborate with data engineers to integrate models into production environments, including ...

... remote and urban locations to create a sustainable future and so much more ... Simply put, Valmont is advancing agricultural productivity and reimagining vital infrastructure to ...

New

... remote and urban locations to create a sustainable future and so much more ... Simply put, Valmont is advancing agricultural productivity and reimagining vital infrastructure to ...

New

Data Scientist

Omaha, NE · On-site +1

... remote and urban locations to create a sustainable future and so much more ... Simply put, Valmont is advancing agricultural productivity and reimagining vital infrastructure to ...

New

Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ... Collaborate with data engineers to integrate models into production environments, including ...

Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ... Collaborate with data engineers to integrate models into production environments, including ...

Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ... Collaborate with data engineers to integrate models into production environments, including ...

Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ... Collaborate with data engineers to integrate models into production environments, including ...

Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ... Collaborate with data engineers to integrate models into production environments, including ...

Remote Hours: 40.0 Clearance: Must be eligible to obtain a US Public Trust Contact: Crystal ... Collaborate with data engineers to integrate models into production environments, including ...

Generate data products suitable for use by downstream scientific stakeholders (e.g., stock ... Remote * Must be willing to relocate if needed. Contact: If you would like to apply for this ...

Remote Duration 4-6 months The RBQM Data Scientist supports central monitoring and risk-based quality management (RBQM) for clinical trials. This role focuses on implementing and running pre-defined ...

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Remote Product Data Scientist information

See salary details

$46K

$165K

$243.5K

How much do remote product data scientist jobs pay per year?

As of Jul 17, 2026, the average yearly pay for remote product data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is the difference between Remote Product Data Scientist vs Remote Data Analyst?

AspectRemote Product Data ScientistRemote Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; experience with machine learningDegree in Statistics, Mathematics, or related field; proficiency in data visualization
Work EnvironmentCollaborates with product teams, engineers, and stakeholders on product developmentSupports business decisions by analyzing data, often across departments
Employer & Industry UsageTech companies, e-commerce, SaaS firms focusing on product optimizationRetail, finance, marketing agencies analyzing business performance

Remote Product Data Scientists focus on developing models and insights to improve products, working closely with product teams. Remote Data Analysts primarily interpret data to support business decisions across various departments. While both roles require strong analytical skills, the Product Data Scientist emphasizes machine learning and product impact, whereas the Data Analyst concentrates on reporting and data visualization.

More about Remote Product Data Scientist jobs
What cities are hiring for Remote Product Data Scientist jobs? Cities with the most Remote Product Data Scientist job openings:
What are the most commonly searched types of Product Data Scientist jobs? The most popular types of Product Data Scientist jobs are:
What states have the most Remote Product Data Scientist jobs? States with the most job openings for Remote Product Data Scientist jobs include:
Sr. Data Scientist II

Full-time

Posted yesterday

New


Job description

Numerator is seeking a Sr. Data Scientist II (Bayesian Modeling) to help build, enhance, and scale data science services across our rapidly evolving data platform. You'll work end-to-end on initiatives that turn massive proprietary datasets into impactful, production-grade solutions.
This is a highly autonomous, product-focused role. You'll partner with Product, Data, and Engineering teams to translate customer needs into data-driven products, analytics methodologies, and new offerings that drive measurable business impact.
How You'll Spend Your Time:
  • Lead the design and delivery of complex Bayesian and probabilistic modeling pipelines, from methodology through production
  • Set technical direction on hard modeling problems and make the key methodological calls, with a high degree of autonomy
  • Work closely with Product, GTM, Data, and Engineering to turn models into reliable, production-grade solutions the business can depend on
  • Help the whole team get better - mentor other data scientists, share your approach openly, and raise the bar for how the group reasons about uncertainty and Bayesian methods
  • Communicate methods, results, and tradeoffs clearly to both technical and non-technical audiences
Skills & Requirements
  • Strong foundation in Bayesian inference and probabilistic modeling - e.g. hierarchical / multilevel models, state-space and time-series models, graphical models, MCMC/HMC, variational and other approximate inference
  • Experience applying these methods to real, messy, production data - not only research or coursework
  • Comfort reasoning about uncertainty, calibration, and model validation
  • Facility with large or structured datasets and the computational side of inference at scale
  • Strong Python, and fluency in a modern probabilistic-programming and numerical-computing stack - NumPyro, PyMC, Stan, JAX, dynamax, or similar. We hire on the ideas, not on exact tooling
  • Track record of shipping statistical models into production
  • BS or PhD in Statistics, Math, Economics, Physics, CS, or a related quantitative field
  • 8+ years of industry experience as a data scientist (or equivalent role/work) with a BS in the above-mentioned areas, or 5+ years of industry experience with a PhD in a quantitative field
  • Clear communication with both technical and non-technical audiences

Nice to Haves:
  • Diagnosing and debugging large Bayesian models - convergence and divergence issues, pinning down which part of a big model is misbehaving, and knowing which inference method to reach for
  • Weighting a non-representative survey or panel sample up to a known population, and a feel for where those adjustments break down
  • Hierarchical models spanning multiple crossed or overlapping groupings - relationships that bridge hierarchies, not just a single nested tree
  • Experience with graph or network models, or modeling relational / graph-structured data
  • Measurement-error modeling, or reconciling multiple imperfect data sources
  • CPG / FMCG / retail experience, or work with user-level purchase or panel data

#LI-Remote
There is strength in numbers - We are the Numerati
Numerator is 2,000 employees strong. We have the confidence to be real and embrace what makes each Numerati unique. Our diverse experiences, ideas and backgrounds fuel our innovation.
Being part of the Numerati means that we'll take care of you! From our Recharge Days, maximum flexibility policy, wellness resources for employees and their families, development opportunities and much more - we're always finding ways to better support, celebrate and accelerate our team.