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Statistical Data Scientist Jobs in Edison, NJ (NOW HIRING)

Statistical Data Scientist Job Location: Edison Job Type: Contract * Design, develop, and implement statistical models and machine learning solutions to solve complex business problems. * Apply deep ...

Bachelor's, Master's, or PhD in Economics, Econometrics, Statistics, Data Science, Applied Mathematics, or a related field. 3-5 years of full-time post-graduation experience applying econometric and ...

About you: • Bachelor's, Master's, or PhD in Economics, Econometrics, Statistics, Data Science, Applied Mathematics, or a related field. • 3-5 years of full-time post-graduation experience ...

Role Overview We are looking for a skilled Data Scientist to join our team. You will work on large ... The ideal candidate has a strong foundation in mathematics and statistics, hands-on experience with ...

About the Role As our first Data Scientist, you will leverage data to drive insights and strategies ... Develop and implement statistical models and machine learning algorithms to predict customer ...

Data scientist Duration: Full-time with benefits+ Bonus Location: Penn Plaza, Newark, NJ Direct ... Build statistical and econometric models for various problems including: projections, clustering ...

Are you a data scientist who enjoys working directly with clients and making a direct and ... The role utilizes analytical, statistical, and programming skills to clean, aggregate, and analyze ...

New

Data Scientist Location: Remote Duration 4-6 months The RBQM Data Scientist supports central ... Collaborate with Central Monitors, Central Statistical Monitors, Data Management, Biostatistics ...

We are looking for a Data Scientist to analyze large amounts of raw information to find patterns ... In this role, you should be highly analytical with a knack for analysis, math and statistics.

We are looking for a Data Scientist to analyze large amounts of raw information to find patterns ... In this role, you should be highly analytical with a knack for analysis, math and statistics.

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or related field Multiple years of professional experience in data science and/or data engineering roles Strong ...

Data Scientist

New York, NY · On-site

$85K - $90K/yr

Are you a data scientist who enjoys working directly with clients and making a direct and ... The role utilizes analytical, statistical, and programming skills to clean, aggregate, and analyze ...

New

As a fullstack data scientist, you will turn complex operational signals into insight-and translate ... Conduct deep-dive analyses using statistical methods, machine learning, and modern GenAI techniques ...

Strong grounding in statistics, experimental design, and data analysis, with a track record of ... Bachelor's degree in Computer Science, Engineering, Statistics, or a related field (advanced degree ...

As a member of our Data Science team, you will challenge the way our company thinks about our ... Real statistical experimental design skills with keen awareness of their assumptions and flaws; you ...

Required : • Fluency in the python data science stack • Expertise in statistical, analytical, and data science methods • Excellent communication and data visualization skills • Ability to ...

Data Scientist

Manhattan, NY · On-site

$75 - $80/hr

Data Scientist, Audience & Growth, Hybrid - New York, NY. Start date is ASAP for this contract ... Experience with A/B testing and experimental design, including sample sizing and statistical ...

As a member of our Data Science team, you will challenge the way our company thinks about our ... Real statistical experimental design skills with keen awareness of their assumptions and flaws; you ...

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Statistical Data Scientist information

See Edison, NJ salary details

$47.6K

$170.8K

$252.1K

How much do statistical data scientist jobs pay per year?

As of Aug 8, 2026, the average yearly pay for statistical data scientist in Edison, NJ is $170,835.00, according to ZipRecruiter salary data. Most workers in this role earn between $138,200.00 and $176,000.00 per year, depending on experience, location, and employer.

How does a statistical data scientist typically collaborate with cross-functional teams on data-driven projects?

Statistical Data Scientists often work closely with cross-functional teams, including engineers, business analysts, and domain experts, to translate complex data into actionable insights. They play a key role in designing experiments, developing statistical models, and ensuring data integrity. Effective communication is essential, as they must explain technical findings to non-technical stakeholders and adapt their analyses to support business objectives. Regular collaboration through meetings, code reviews, and presentations is common, making teamwork and adaptability vital skills in this role.

What are the key skills and qualifications needed to thrive as a statistical data scientist?

To thrive as a Statistical Data Scientist, you need a strong background in statistics, mathematics, and data analysis, typically supported by a degree in a quantitative field. Proficiency with programming languages like Python or R, data visualization tools, and experience using machine learning libraries and statistical software such as SAS or SPSS are highly valuable. Critical thinking, problem-solving, and the ability to communicate complex findings clearly are essential soft skills for this role. These competencies ensure that insights derived from data are accurate, actionable, and effectively inform business or research decisions.

What does a statistical data scientist do?

A Statistical Data Scientist uses statistical methods and computational tools to analyze large and complex datasets, uncover trends, and generate actionable insights for organizations. They design experiments, build predictive models, and interpret data to solve business problems or advance scientific research. Their work often involves cleaning and preparing data, choosing appropriate statistical techniques, and communicating findings to stakeholders through reports and visualizations.

What is the difference between Statistical Data Scientist vs Data Analyst?

AspectStatistical Data ScientistData Analyst
Required CredentialsDegree in Statistics, Data Science, or related field; proficiency in statistical programmingDegree in Statistics, Mathematics, or related field; strong analytical skills
Work EnvironmentResearch-focused, developing models, advanced analyticsBusiness-focused, reporting, data visualization
Employer & Industry UsageTech companies, finance, healthcare, research institutionsRetail, marketing, finance, healthcare

Statistical Data Scientists focus on building complex models and advanced analytics, often requiring specialized statistical knowledge. Data Analysts primarily interpret data, create reports, and support decision-making with descriptive analytics. While both roles require strong analytical skills and familiarity with statistical tools, Statistical Data Scientists typically handle more complex modeling tasks and have a deeper focus on statistical theory.

What are popular job titles related to Statistical Data Scientist jobs in Edison, NJ? For Statistical Data Scientist jobs in Edison, NJ, the most frequently searched job titles are:
What job categories do people searching Statistical Data Scientist jobs in Edison, NJ look for? The top searched job categories for Statistical Data Scientist jobs in Edison, NJ are:
Infographic showing various Statistical Data Scientist job openings in Edison, NJ as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $170,835 per year, or $82.1 per hour.

Statistical Data Scientist

Staffingine LLC

Edison, NJ • On-site

Contractor

Re-posted 9 days ago


Job description

Job Title: Statistical Data Scientist
Job Location: Edison
Job Type: Contract

Job Description:

  • Design, develop, and implement statistical models and machine learning solutions to solve complex business problems.
  • Apply deep learning techniques including LSTM, N-BEATS, CNN, and RNN for time series forecasting and other predictive tasks.
  • Utilize LLMs for natural language processing and generative AI applications.
  • Develop and optimize mathematical models using Linear Programming and Mixed Integer Programming.
  • Work with optimization tools such as OpenSolver and Gurobi to solve large-scale business problems.
  • Collaborate with business teams and customer FTEs to understand requirements and deliver impactful data-driven solutions.
  • Build and maintain scalable data pipelines and models using platforms like Databricks and Snowflake.
  • Participate in end-to-end modeling lifecycle including data exploration, feature engineering, model development, validation, and deployment.