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Applied Statistics Entry Level Jobs (NOW HIRING)

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python ... If you applied for a job and got emails from our skill enhancement team please email them or ask ...

... statistics and want to develop algorithms for the undersea domain, consider joining our team! We ... The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our ...

$76K - $129K/yr

... the Applied Research Laboratory (ARL) is seeking entry level Engineers to research, develop ... CAMPUS SECURITY CRIME STATISTICS Pursuant to the Jeanne Clery Disclosure of Campus Security Policy ...

This is an excellent entry-level opportunity for someone who is interested in starting a career in ... Statistics, Applied Mathematics, Marketing Research, or a related field of study with an analytic ...

This is an excellent entry-level opportunity for someone who is interested in starting a career in ... Statistics, Applied Mathematics, Marketing Research, or a related field of study with an analytic ...

This is an excellent entry-level opportunity for someone who is interested in starting a career in ... Statistics, Applied Mathematics, Marketing Research, or a related field of study with an analytic ...

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Applied Statistics Entry Level information

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How much do applied statistics entry level jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for applied statistics entry level in the United States is $19.47, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.88 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Applied Statistics Entry Level professional, and why are they important?

To thrive as an Applied Statistics Entry Level professional, a strong foundation in statistical theory, data analysis, and mathematics is essential, typically supported by a bachelor’s degree in statistics, mathematics, or a related field. Familiarity with statistical software such as R, Python, SAS, or SPSS and proficiency in Excel are commonly required technical skills. Attention to detail, problem-solving abilities, and effective communication help individuals stand out by enabling them to interpret data and convey findings to non-technical stakeholders. These skills are crucial for ensuring accurate data analysis, supporting decision-making, and driving actionable insights in various industries.

What is the difference between Applied Statistics Entry Level vs Data Analyst?

AspectApplied Statistics Entry LevelData Analyst
Required CredentialsBachelor's in Statistics, Mathematics, or related fieldBachelor's in Statistics, Mathematics, or related field
Work EnvironmentResearch, academic, or corporate settingsCorporate, finance, healthcare, or tech industries
Employer UsageAcademic institutions, research firms, some corporationsBusiness, marketing, healthcare, finance sectors
Common Search IntentEntry-level statistics roles, foundational data workData analysis, reporting, data visualization tasks

Applied Statistics Entry Level roles focus on foundational statistical methods and data collection, often in research or academic settings. Data Analysts typically perform data cleaning, analysis, and visualization in business environments. While both roles require similar educational backgrounds, Data Analysts tend to work more with business tools and software, making them more industry-oriented. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

What are some typical projects or tasks an entry-level applied statistician can expect to work on in their first year?

As an entry-level applied statistician, you will likely support senior statisticians by cleaning and organizing data, conducting exploratory data analysis, and applying basic statistical methods to real-world datasets. You may also assist in designing surveys or experiments, preparing reports, and presenting findings to team members from non-statistical backgrounds. Collaboration with data scientists, analysts, and subject matter experts is common, providing valuable exposure to cross-functional teamwork and practical problem-solving within your industry.

What are applied statistics entry level jobs?

Applied statistics entry level jobs involve using statistical methods and data analysis techniques to solve real-world problems in various fields such as business, healthcare, government, and research. Individuals in these roles typically collect, analyze, and interpret data to provide actionable insights or support decision-making. Common positions include data analyst, statistical assistant, and research analyst. Entry-level professionals usually work under the supervision of senior statisticians or data scientists and may use tools like Excel, R, or Python. These roles are ideal for graduates with a background in statistics, mathematics, or a related field.
More about Applied Statistics Entry Level jobs
What cities are hiring for Applied Statistics Entry Level jobs? Cities with the most Applied Statistics Entry Level job openings:
What are the most commonly searched types of Applied Statistics jobs? The most popular types of Applied Statistics jobs are:
What states have the most Applied Statistics Entry Level jobs? States with the most job openings for Applied Statistics Entry Level jobs include:
What job categories do people searching Applied Statistics Entry Level jobs look for? The top searched job categories for Applied Statistics Entry Level jobs are:
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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