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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 ...

The group you'll be a part of In the Global Products Group, we are dedicated to excellence in the ... The impact you'll make Join Lam as a Data Scientist, where you'll design, develop, and program ...

New

... 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 ...

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

Our formative assessment products help teachers identify the targeted instruction students need to ... We seek an experienced Data Scientist to join our Supply Chain Analytics team, developing Machine ...

Data Scientist - NYC

Newton, MA · On-site +1

$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

Alexandria, VA · On-site

$94K - $141K/yr

Input researched and analyzed data into various professional products including analytical ... Fully proficient in the use of data science and data analytics software, including but not limited ...

Data Scientist

Alexandria, VA · On-site

$94K - $141K/yr

Input researched and analyzed data into various professional products including analytical ... Fully proficient in the use of data science and data analytics software, including but not limited ...

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 - 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 ...

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

$100K - $132K/yr

Our formative assessment products help teachers identify the targeted instruction students need to ... We seek an experienced Data Scientist to join our Supply Chain Analytics team, developing Machine ...

Data Scientist Company Description Newton Research is a fast-growing software start-up founded by ... Our products to generate actionable business insights for our customers and partners, assisting in ...

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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 10, 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

Contractor

Posted 15 hours 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