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Statistics Data Science Jobs (NOW HIRING)

phasevtrials.com

Senior Data Scientist

Boston, MA · On-site

$100 - $130/hr

Master's in Computer Science, Statistics, Data Science, Engineering or a related field * Ph.D. is an advantage but not required Experience: * 3+ years of experience in data science or machine ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Demonstrated experience using machine learning, deep learning, statistical methodology, and ...

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Demonstrated experience using machine learning, deep learning, statistical methodology, and ...

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Statistics Data Science information

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$46K

$165K

$243.5K

How much do statistics data science jobs pay per year?

As of Aug 9, 2026, the average yearly pay for statistics data science 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 jobs can you get with a statistics and data science degree?

A statistics and data science degree prepares individuals for roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, and quantitative researcher. These jobs typically require skills in programming languages like Python or R, data visualization, and statistical analysis, often within technology, finance, healthcare, or consulting industries.

What are statistics and data science jobs?

Statistics and data science jobs involve analyzing data to extract insights, build models, and support decision-making. These roles often require skills in programming languages like Python or R, statistical methods, and data visualization tools. Professionals in these fields work in various industries such as finance, healthcare, and technology to solve complex problems using data-driven approaches.
More about Statistics Data Science jobs
What cities are hiring for Statistics Data Science jobs? Cities with the most Statistics Data Science job openings:
What states have the most Statistics Data Science jobs? States with the most job openings for Statistics Data Science jobs include:
What job categories do people searching Statistics Data Science jobs look for? The top searched job categories for Statistics Data Science jobs are:
Statistics Data Science jobs near you
Infographic showing various Statistics Data Science job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist II - Data Algorithms & Optimization

Jobtailor

Peoria, IL • On-site

$110 - $160/hr

Other

Posted 4 days ago

Job description

Responsibilities
  • Design, develop, and maintain advanced analytical models, including machine learning and statistical approaches, to support digital products and enterprise initiatives.
  • Analyze large, complex datasets to identify trends, patterns, and opportunities for improvement.
  • Partner with cross‑functional teams to define analytical requirements and translate business questions into data science solutions.
  • Support data quality initiatives by validating data sources, identifying gaps, and recommending improvements.
  • Communicate insights and model results clearly to technical and non‑technical stakeholders.
  • Contribute to continuous improvement of analytics tools, methodologies, and best practices within Cat Digital.
Requirements
  • Typically, a Bachelors, Masters, or PhD degree in Applied Statistics, Data Science, Business Analytics, Predictive Analytics, Business Intelligence & Analytics, Mathematics, Computer Science, Engineering (Aerospace, Electrical, Mechanical, Computer, Industrial, Agricultural, etc.), or equivalent technical degree.
  • Extensive hands‑on experience: applying Python programming to solve business challenges.
  • Advanced data analysis and statistical methods such as regression, hypothesis testing, ANOVA, statistical process control, etc.
  • Practical applications of Machine Learning techniques such as Clustering, Logistic Regression, Random Forests, SVM or Neural Networks.
  • Working with generative AI, with an understanding of strengths, limitations, and responsible use considerations.
  • Advanced experience in quantifying the costs, benefits, risks and chances for success before recommending a course of action.
  • In‑depth technical and problem‑solving skills and evidence of continuous learning in the analytics field.
  • Working knowledge with cloud technologies (AWS, Azure, Google Cloud, etc.).
  • Advanced experience with version control / repositories such as GitHub.
  • Experience operating in an Agile environment.
  • Must demonstrate strong initiative, interpersonal skills, and the ability to communicate effectively.
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