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Entry Level Product Data Scientist Jobs (NOW HIRING)

... 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 ...

* 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 ...

Data Scientist

Santa Clara, CA · On-site

$170K - $190K/yr

Forward Networks seeks a pragmatic, end-to-end Data Scientist who can operate across the full data ... Own selected production data systems: selection, orchestration, monitoring, and tuning

Data Scientist

Santa Clara, CA · On-site +1

$170K - $190K/yr

Forward Networks seeks a pragmatic, end-to-end Data Scientist who can operate across the full data ... Own selected production data systems: selection, orchestration, monitoring, and tuning

Ensure AI systems align with product goals while maintaining reliability and interpretability. * Act as a cross-functional contributor connecting data science, engineering, and business strategy.

Data Scientist

Philadelphia, PA · On-site

$103K - $173K/yr

Every day, millions of scientists rely on our products to discover evidence, connect ideas, validate findings, and advance research. As a Data Scientist, your work will directly contribute to the ...

Data Scientist - NYC

Boston, MA · On-site

$100 - $200/hr

Experience with machine learning or adjacent fields (natural language processing, random forests, linear regression, predictive modeling, and entry-level data science concepts) * Experience writing ...

Data Scientist

Irving, TX · On-site

$65 - $70/hr

We are currently seeking a Data Scientist for our client in the Retail domain. We value our ... and product decisions. This role is ideal for someone who enjoys combining statistical rigor ...

Data Scientist

Philadelphia, PA · On-site

$103K - $173K/yr

Every day, millions of scientists rely on our products to discover evidence, connect ideas, validate findings, and advance research. As a Data Scientist, your work will directly contribute to the ...

Data Scientist

Washington, DC · Hybrid

$116K - $174K/yr

The Data Scientist will help develop and deploy AI models from ideation to production. Required For This Opportunity * Bachelor's Degree in Computer Science (or closely related degree). * At least 3 ...

Learn GTI's production data stack (Snowflake, dbt, Dagster) and the curated data models that ... data science, quantitative analyst, or ML engineering role - with demonstrable work in model ...

Learn GTI's production data stack (Snowflake, dbt, Dagster) and the curated data models that ... data science, quantitative analyst, or ML engineering role - with demonstrable work in model ...

Data Scientist

Philadelphia, PA · On-site

$103K - $173K/yr

Every day, millions of scientists rely on our products to discover evidence, connect ideas, validate findings, and advance research. As a Data Scientist, your work will directly contribute to the ...

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Entry Level Product Data Scientist information

See salary details

$46K

$165K

$243.5K

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

As of Jun 14, 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? Cities with the most Entry Level 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 Entry Level Product Data Scientist jobs? States with the most job openings for Entry Level Product Data Scientist jobs include:
Infographic showing various Entry Level Product Data Scientist job openings in the United States as of June 2026, with employment types broken down into 1% Locum Tenens, 5% Full Time, 87% Part Time, 1% Temporary, 5% Contract, and 1% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Scientist

Data Scientist

Noblesoft Solutions

Jacksonville, FL • On-site

Contractor

Posted 5 days ago


Job description

Company Description
Noblesoft Solutions is a certified member of the National Minority Supplier Diversity Council (NMSDC) and is also a certified Minority Business Enterprise. We are headquartered outside Philadelphia, PA with employees located in over 15 states. As a certified Oracle Gold partner, Noblesoft helps our enterprise customers solve their business challenges through strategic consulting services, innovative offerings and industry-specific solutions built on the latest technologies.
Since our inception, it has been the company's mission and commitment to provide the highest level of quality, integrity and dependability to its clients. Noblesoft has successfully implemented solutions for customers across a range of industries including Healthcare, Retail, Finance and Hospitality, adding tremendous value to those organizations by increasing efficiency, shortening the development life cycle and delivering high-quality end products.
Our History
After years of working as integrators for PeopleSoft Inc. and Big 5 consulting firms, Noblesoft was formed as consulting firm with a model of delivering high profile solutions for our clients across the country.
Job Description
This is an entry level Data Scientist Role for a person who is self motivated and has a passion to innovate and work on cutting edge technology.
Qualifications
Candidate should have experience in some form of SQL (e.g. HIVE, PostgreSQL, MSSQL, etc.) and either Python or R for statistical application development. Experience in a Hadoop environment and / or statistical development tool (e.g. RapidMiner, Knime) a plus.
Data Scientist
• Develop and communicate a deep understanding of client needs, perform analytical deep-dives to identify problems, opportunities and specific actions required
• Develop reproducible and deployable statistical applications on platform such as R/Python/Spark using techniques such as Regression, SVM, and Neural Networks
• Implementing processes that improve and lead to greater data quality
• Conducting statistical analyses to develop strategies
• Documenting all processes and research
• Building new algorithms and model training
• Executing projects involving analytics
• Identifying data patterns and trends
• Analyzing data to develop predictive models
• Creating, managing, and maintaining analytically rigorous data
• Possessing a solid machine learning foundation
• Proven record of successful statistical product delivery
• Ability to execute health insurance use cases via statistical applications such as R or Python
• Efficiently access data via multiple vectors (e.g. NFS, FTP, SSH, SQL, Sqoop, Flume, Spark)
• Significant experience with SQL and working with large datasets required
• Work with cross-functional teams (including Product Management, Engineering, and senior executives) to rapidly execute and iterate
• Noting anomaly detection and running diagnostics
• Performing graphical model analysis
• Strong verbal and written communication skills
Additional Information
Candidates would Roll Perm at some point