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Entry Level Data Scientist Jobs (NOW HIRING)

Global Lending Services

Data Scientist

Greenville, SC · On-site

This posting is to enter our campus recruiting and entry-level process for position offers being made for May 2026*** What does it mean to be a Data Scientist at GLS? GLS relies heavily on Data ...

asrcfh

Data Scientist

Oklahoma City, OK

Bachelor's degree in Data Science, Computer Science, Computer Engineering, Mathematics or related field Level 1: Entry Level Level 2: Minimum 3 years of experience equivalent to a level 1 Level 3: ...

asrcfh

Data Scientist

Oklahoma City, OK · On-site

Bachelor's degree in Data Science, Computer Science, Computer Engineering, Mathematics or related field Level 1: Entry Level Level 2: Minimum 3 years of experience equivalent to a level 1 Level 3: ...

SynergisticIT

Entry Level Data Engineer

Dallas, TX

$113K - $136K/yr

Here at SynergisticIT we just don't focus on getting you a job we make careers. Entry level job ... Data analysts/Data scientists * Data visualization engineers * BI analysts * Machine learning ...

West Virginia University Health System

$60K - $61K/yr

Working alongside data scientists, ML engineers, and clinical analysts, this role applies ... This is an entry-level to early-career role for candidates who have curiosity about healthcare data ...

WVU Medicine

Associate Data Scientist

Morgantown, WV · On-site

$60K - $61K/yr

Working alongside data scientists, ML engineers, and clinical analysts, this role applies ... This is an entry-level to early-career role for candidates who have curiosity about healthcare data ...

Tech Consulting

Be Seen First

Junior Data Scientist

Miami, FL · On-site

$30 - $35/hr

Job Title: Jr. Data Scientist Location: Miami, FL Employment type ... Fulltime Duration: 2 years Exp: 1-4 years(Entry level) Educational Qualification: Master's Degree ...

Altair Data Resources, Inc

Data Analyst

Brentwood, TN · On-site

Altair Data Resources is seeking an entry-level Data Analyst who is looking for an opportunity to ... Working towards or completed BS or MS in Mathematics, Computer Science, Data Science, Information ...

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Entry Level Data Scientist information

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

As of Jun 19, 2026, the average yearly pay for entry level 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 Does an Entry-Level Data Scientist Do?

An entry-level data scientist works to examine, interpret, and collect large sets of data. In this role, your responsibilities include extracting and processing information to find patterns and trends, using technology to analyze data, and creating a machine-learning algorithm or predictive model for data analysis. Other duties include proposing strategies and solutions based on the information you derived from a data set, using ensemble modeling to combine models, automating processes to collect data, discovering valuable data sources, and using data visualization techniques to present information. You often collaborate with product development and engineering teams.

What does an Entry Level Data Scientist do?

An Entry Level Data Scientist helps organizations analyze and interpret large sets of data to solve business problems. They typically assist with data cleaning, exploratory data analysis, and building simple machine learning models under the supervision of more experienced data scientists. Their work often involves using programming languages like Python or R, and tools such as SQL and data visualization software. Entry level data scientists also collaborate with other team members to communicate findings and support data-driven decision-making.

What are some typical challenges faced by entry level data scientists in their first year on the job?

Entry level data scientists often encounter challenges such as working with messy or incomplete datasets, adapting to unfamiliar data tools and company-specific processes, and translating business problems into actionable data analyses. They may also find it challenging to communicate technical findings to non-technical stakeholders and to prioritize projects in a fast-paced environment. Building strong relationships with colleagues in engineering, business, and analytics teams is key to overcoming these challenges and accelerating learning.

What are the key skills and qualifications needed to thrive as an Entry Level Data Scientist, and why are they important?

To thrive as an Entry Level Data Scientist, you need a solid foundation in statistics, programming (typically Python or R), and data analysis, often supported by a degree in a quantitative field such as mathematics, computer science, or engineering. Familiarity with tools like SQL, Jupyter Notebooks, and machine learning libraries (e.g., scikit-learn, TensorFlow) is commonly expected. Strong problem-solving skills, curiosity, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These abilities enable you to extract actionable insights from data, support business decisions, and contribute value to data-driven organizations.

What is the difference between Entry Level Data Scientist vs Data Analyst?

AspectEntry Level Data ScientistData Analyst
Required CredentialsBachelor's in CS, Statistics, or related field; some knowledge of programming and machine learningBachelor's in Business, Statistics, or related field; strong Excel, SQL, and visualization skills
Work EnvironmentCollaborates with data science teams, uses programming languages like Python or R, focuses on predictive modelingWorks with business teams, uses SQL, Excel, and BI tools, focuses on reporting and data visualization
Employer & Industry UsageTech companies, finance, healthcare, startupsRetail, marketing, finance, healthcare, government

Entry Level Data Scientists and Data Analysts often share foundational skills like SQL and data visualization. However, data scientists typically focus on building predictive models and machine learning algorithms, requiring programming knowledge, while data analysts concentrate on interpreting data through reports and dashboards. Both roles are essential in data-driven organizations but differ in technical depth and project scope.

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Entry Level Data Scientist jobs near you
Engineering Data Scientist (Entry-Level or Associate)

Engineering Data Scientist (Entry-Level or Associate)

Boeing

Seal Beach, CA • On-site

$86K - $117K/yr

Full-time

Medical, Life, Retirement

This job post has expired today. Applications are no longer accepted.

Boeing rating

8.5

Company rating: 8.5 out of 10

Based on 592 frontline employees who took The Breakroom Quiz

32nd of 518 rated manufacturers

Job description

Engineering Data Scientist (Entry-Level or Associate)
Company:
The Boeing Company
The Boeing Customer Support Analytics team is looking to hire an Engineering Data Scientist (Entry-Level or Associate) in Seal Beach, California with knowledge in fields such as machine learning, statistics, data modeling, text analytics, and natural language processing. These skills will be used to solve challenging problems centered on internal engineering activity and in-service fleet performance. The resulting analytics work products will help cross-functional teams make data driven decisions that improve business results and increase customer satisfaction. Our teams are currently hiring for a broad range of experience levels including Engineering Data Scientist (Entry-Level or Associate).
Primary Responsibilities:
  • Modifies and analyzes standardized data sets using analytics techniques such as machine learning, statistical analysis, mathematical optimization and simulation; identifies modeling attributes and parameters; applies algorithms to create descriptive, predictive or prescriptive models to achieve analysis and project deliverables.
  • Investigates data characteristics, complexity, quality and meaning; develops visualizations and summarizations to define performance and identify trends, outliers and drivers.
  • Prepares data for analysis, e.g. cleansing, conditioning, transforming, modeling, identifying new feature variables and handling multi-variate data.
  • Identifies best-fit data science methodology (statistics, machine learning, optimization, simulation) given the data and business applications.
  • Performs standard procedures in evaluation and verification of correctness and performance of models and analysis.
  • Supports determination of analysis requirements given business objectives.
  • Supports determination of decision support needs, matches data to requirements and performance metrics to support analysis.
  • Monitors production and deployment; prepares decision support visualizations and reports, algorithms, models, dashboards and/or tool.

Work Authorization:
This position is expected to be 100% onsite. The selected candidate will be required to work onsite at the Seal Beach, California location.
Basic Qualifications (Required Skills/ Experience):
  • Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement.
  • Experience in data science, data analytics, data engineering, AI/ML, ETL.
  • Experience in database management, programming, statistical modeling, or statistical analysis.

Preferred Qualifications (Desired Skills/Experience):
  • Master's degree in data science, machine learning, applied statistics, mathematics, or other analytics oriented scientific field of study.
  • Experience working with analytics technology stacks; Azure, Google Cloud Platform (GCP), Teradata, Databricks, API, etc.
  • Experience in commercial aviation business or engineering.
  • Ability to adjust priorities to multiple demands and unanticipated events.

Conflict of Interest:
Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.
Drug Free Workplace:
Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.
Union:
This is not a union-represented position.
Pay and Benefits:
At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.
The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.
The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.
Pay is based upon candidate experience and qualifications, as well as market and business considerations.
Summary Pay Range:
  • Entry-Level (Level 1): $86,700 - $117,300
  • Associate (Level 2): $108,800 - $147,200

Language Requirements:
Not Applicable
Education:
Bachelor's Degree or Equivalent
Relocation:
This position offers relocation based on candidate eligibility.
Export Control Requirement:
This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. §120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.
Safety Sensitive:
This is not a Safety Sensitive Position.
Security Clearance:
This position does not require a Security Clearance.
Visa Sponsorship:
Employer will not sponsor applicants for employment visa status.
Contingent Upon Award Program
This position is not contingent upon program award
Shift:
Shift 1 (United States of America)
Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud - Recruitment Fraud Warning
Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
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