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Entry Level Product Data Scientist Jobs (NOW HIRING)

Americanfidelity

Data Scientist

Oklahoma City, OK · Hybrid

... products and processes. Research and engineer analysis, forecasting, machine learning, deep ... entry level Colleagues to management to senior executives. This includes the ability to speak ...

Paramount Pictures

Data Scientist

Burbank, CA · On-site

$99 - $140/hr

We are seeking a Data Scientist for this entry-level role. You will work to support the team in building ML-powered analyses and products that shape business strategy, optimize content, inform ...

New

Apollo.io

Senior Data Scientist - Product

We are seeking a highly analytical and impact-driven Senior Data Scientist to help shape our product strategy and decision-making through data. In this role, you will focus on optimizing existing ...

AAA

Entry Level Data Scientist

Coppell, TX

Entry Level Data Scientist AAA is offering an exciting opportunity to join our Data Science team ... Develop and automate data pipelines and dashboards monitoring insurance products * Maintain ...

Numerator

Sr. Data Scientist II

Numerator is seeking a Sr. Data Scientist II (Bayesian Modeling) to help build, enhance, and scale ... This is a highly autonomous, product-focused role. You'll partner with Product, Data, and ...

Numerator

Sr. Data Scientist II

Numerator is seeking a Sr. Data Scientist II (Bayesian Modeling) to help build, enhance, and scale ... This is a highly autonomous, product-focused role. You'll partner with Product, Data, and ...

Noblesoft Solutions

Data Scientist

Jacksonville, FL · On-site

... products. Our History After years of working as integrators for PeopleSoft Inc. and Big 5 ... This is an entry level Data Scientist Role for a person who is self motivated and has a passion to ...

DeFiner Inc

* Work closely with engineering and marketing teams to identify and answer important product ... data science solutions. * Present and defend results to leadership audiences, both technical and ...

Experimentation Jobs

$180 - $230/hr

As a Product Data Scientist at Google, you will become the expert on Discover's growth state and progress against goals by interpreting launches, holdbacks, and organic trends. You will support ...

Noblesoft Solutions

Data Scientist

Jacksonville, FL · On-site

... products. Our History After years of working as integrators for PeopleSoft Inc. and Big 5 ... This is an entry level Data Scientist Role for a person who is self motivated and has a passion to ...

Dotdash Meredith

Senior Data Scientist

Liberty, NY · On-site

Job Title Senior Data Scientist About The Position | As a Senior Data Scientist for personalization ... Starting from our user-saved product signals and a live catalog ingested from thousands of retailer ...

Amplify

Data Scientist

Brooklyn, NY · On-site

$100K - $132K/yr

Work cross functionally to deliver superior data products: Contribute to development efforts from ... Help our Data Science team continuously improve by leading team learning sessions and proposing ...

ClifyX

Senior Data scientist

Cincinnati, OH · On-site

ClifyX is seeking a Senior Data Scientist to enhance their AI-driven systems. The role involves ... Develop models that combine user behavior, product data, and contextual signals. Partner with ...

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All JobsProduct Data Scientist JobsEntry Level Product Data Scientist Jobs

Entry Level Product Data Scientist information

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$46K

$165K

$243.5K

How much do entry level product data scientist jobs pay per year?

As of Sep 5, 2026, the average yearly pay for entry level 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 Entry Level Product Data Scientist vs Data Analyst?

AspectEntry Level Product Data ScientistData Analyst
Required CredentialsBachelor's in Data Science, Statistics, or related field; some roles prefer internships or certificationsBachelor's in Statistics, Mathematics, or related field; certifications like Microsoft Excel or SQL are common
Work EnvironmentCollaborates with product teams, engineers, and designers to analyze product data and inform decisionsWorks across departments to interpret data, generate reports, and support business insights
Employer & Industry UsageTech companies, e-commerce, SaaS, and startups focusing on product developmentRetail, finance, healthcare, and various industries requiring data interpretation

While both roles analyze data, Entry Level Product Data Scientists focus on product-related insights and work closely with product teams, whereas Data Analysts handle broader data interpretation across various business functions. The roles often overlap in skills and tools but differ in their primary focus and collaboration scope.

More about Entry Level Product Data Scientist jobs

What cities are hiring for Entry Level Product Data Scientist jobs?

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What are the most commonly searched types of Product Data Scientist jobs?

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Entry Level Product Data Scientist jobs near you
Infographic showing various Entry Level Product Data Scientist job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist

Americanfidelity

Oklahoma City, OK • Hybrid

Full-time

Posted 22 days ago

Job description

Job Description:

Work with large, complex data sets using to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed to complete end-to-end analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.

Engineer analysis pipelines iteratively to provide insights at scale. Develop comprehensive understanding of data structures and metrics, advocating for changes where needed in systems, products and processes.

Research and engineer analysis, forecasting, machine learning, deep learning, neural networks, artificial intelligence and optimization methods to improve the quality of products; example application areas include customer segmentation modeling and end-user behavioral modeling/prediction.

Technical Skills and Requirements:

  • Expert in multiple statistical software (e.g., R, Python, Julia, MATLAB, pandas) and associated data science libraries (scikit-learn).
  • Expert in database languages (e.g., SQL).
  • Experience creating meaningful data visualizations and/or interactive dashboards that communicate findings and business impacts using platforms such as Tableau, Qlik, Power BI, RShiny, plotly, and d3.js.
  • Applied experience with machine learning on large datasets using Big Data tools such as Apache's Hadoop or Spark
  • Expert in deep learning techniques and neural networks using languages such as as TensorFlow
  • Expert in multiple major programming language (C/C++. C#, Java, Python, etc.) or optimization modeling languages (AMPL, GAMS, AIMMS, OPL, etc.)
  • Experience with data science methods related to data architecture, data cleaning, data and feature engineering, and predictive analytics.
  • Strong background in modeling large scale discrete, nonlinear or stochastic mathematical optimization models and engineering efficient optimization algorithms.
  • Familiarity with natural language processing, machine learning, statistical modeling, predictive modeling, and hypothesis testing.
  • Familiarity working with both structured and unstructured data, including textual data.
  • Ability to work in a fast-paced environment.
  • Exceptionally strong communication skills, including written, verbal and listening which can be deployed successfully when addressing entry level Colleagues to management to senior executives. This includes the ability to speak confidently in both business and technological surroundings and appropriately transliterate between the two.
  • Exceptional analytical thinking and problem solving skills.
  • Exceptional understanding of business and business strategy.
  • Exceptional planning skills.
  • Exceptional organizational skill and ability to work autonomously.

Education:

Master's degree in related field required.

Location:

This is a hybrid position. Applicants must be located in OKC Metro area or willing to relocate.

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