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Entry Level Data Science Analytics Jobs (NOW HIRING)

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... Provides data insights for business problems that can be approached with analytics techniques to ...

... appropriate analytics (BI tools, Azure Foundry) and derive strategic insights to achieve the ... You'll work closely with product managers, other data scientists, engineers, and business analysts ...

... appropriate analytics (BI tools, Azure Foundry) and derive strategic insights to achieve the ... You'll work closely with product managers, other data scientists, engineers, and business analysts ...

Responsibilities Data Scientists at Mayo Clinic perform detailed analysis of large bodies of ... Provides data insights for business problems that can be approached with analytics techniques to ...

Collaborate closely with data analysts, data engineers, and business and project stakeholders to incorporate their expertise into data science solutions. * Present and defend results to leadership ...

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... Provides data insights for business problems that can be approached with analytics techniques to ...

... Gartner Data & Analytics Summit Why do tech companies not hire recent computer science graduates ... entry level position. The additional skills and project work with hands on experience building ...

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of heterogeneous data in ... with analytics techniques to collect, explore, and extract insights from structured and ...

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. * 2+ years of experience in a data science, analytics, or related role. * Proficiency in ...

... Data & Analytics summit Why do Tech Companies not Hire recent Computer Science Graduates ... entry level position the additional skills and Project work with hands on experience building ...

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. * 2+ years of experience in a data science, analytics, or related role. * Proficiency in ...

... analyze, connect, enrich, and operationalize our data. This role sits at the intersection of data science, data operations, product strategy, and domain expertise. The ideal candidate will be more ...

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Entry Level Data Science Analytics information

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How much do entry level data science analytics jobs pay per hour?

As of Jun 26, 2026, the average hourly pay for entry level data science analytics in the United States is $54.75, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.02 per hour, depending on experience, location, and employer.
What are the most commonly searched types of Data Science Analytics jobs? The most popular types of Data Science Analytics jobs are:
Data Scientist - Supply Chain Risk Management

Data Scientist - Supply Chain Risk Management

VTG

Washington, DC • Hybrid

$90K - $120K/yr

Full-time

Posted 13 days ago


Job description

Overview

VTG is seeking a motivated Data Scientist to join our team supporting a program focused on Supply Chain Risk Management (SCRM). The successful candidate will contribute to the development of data-driven insights and analytic solutions that help identify, assess, and mitigate risks in complex supply chains. This position (hybrid role) will report to the Washington Navy Yard in Washington, DC. 


What will you do?
  • Apply statistical methods, artificial intelligence, machine learning, and predictive modeling to identify patterns, anomalies, and potential risks
  • Write clean, efficient, and well-documented code in Python leveraging data science libraries (e.g., pandas, NumPy, scikit-learn, PyTorch, TensorFlow)
  • Query, manipulate, and analyze structured and unstructured data from databases (SQL, NoSQL, Hive, etc.)
  • Support data ingestion, processing, and visualization workflows to deliver actionable insights to government stakeholders
  • Collaborate with a cross-functional team of analysts, data engineers, front-end developers, and subject matter experts to deliver mission-critical solutions
  • Present findings through reports, dashboards, and briefings to both technical and non-technical audiences
  • Develop and implement data science solutions to analyze large and complex datasets related to supply chain networks

Do you have what it takes?

Required Qualifications:

  • Bachelor’s degree in Data Analytics, Statistics, Economics, Supply Chain Management, Computer Science, or a related field
  • 1–3 years of hands-on experience in data science, analytics, or applied machine learning

  • Strong proficiency in Python and core data science libraries

  • Experience with databases (SQL and/or NoSQL) for querying and analysis

  • Strong problem-solving skills and the ability to communicate technical insights clearly

  • Must have and maintain a Secret clearance-eligible for a Top Secret clearance
  • U.S. citizenship

Desired Qualifications/Skills/Abilities:

  • Background or coursework in Supply Chain Management, Logistics, or Risk Analysis
  • Experience with big data tools (Hadoop, Spark, Hive, etc.)
  • Familiarity with government contracting or defense-related projects
  • Experience developing in Cloudera Data Science Workbench (CDSW)

Travel Requirements:

Minimal travel, mostly in the Washington DC area.

Position contingent upon funding

Pay Range: VTG’s estimated starting pay range is $90,000-$120,000 annually, which is a general guideline for the geographic location. When extending an offer, VTG also considers work experience, education, skill level, market considerations and may possibly include contractual requirements which may cause an offer to fall outside of this range.

Qualifications:

Required Qualifications:

  • Bachelor’s degree in Data Analytics, Statistics, Economics, Supply Chain Management, Computer Science, or a related field
  • 1–3 years of hands-on experience in data science, analytics, or applied machine learning

  • Strong proficiency in Python and core data science libraries

  • Experience with databases (SQL and/or NoSQL) for querying and analysis

  • Strong problem-solving skills and the ability to communicate technical insights clearly

  • Must have and maintain a Secret clearance-eligible for a Top Secret clearance
  • U.S. citizenship

Desired Qualifications/Skills/Abilities:

  • Background or coursework in Supply Chain Management, Logistics, or Risk Analysis
  • Experience with big data tools (Hadoop, Spark, Hive, etc.)
  • Familiarity with government contracting or defense-related projects
  • Experience developing in Cloudera Data Science Workbench (CDSW)

Travel Requirements:

Minimal travel, mostly in the Washington DC area.

Position contingent upon funding

Education:UNAVAILABLEEmployment Type: FULL_TIME