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Analytics Data Scientist Jobs (NOW HIRING)

CLARA analytics

Data Scientist

Santa Clara, CA · On-site

CLARA analytics is looking for extraordinary data scientists to synthesize and leverage ever-growing datasets to help radically transform the operational performance in the workers' compensation ...

CLARA analytics

Data Scientist

Santa Clara, CA

CLARA analytics is looking for extraordinary data scientists to synthesize and leverage ever-growing datasets to help radically transform the operational performance in the workers' compensation ...

Extend

Lead Risk Analytics Data Scientist

You'll join our centralized Risk, Analytics & Data Science team at Extend, where you'll play an essential role in the risk monitoring process for our product protection and shipping protection ...

Inizio Partners Corp

Data Scientist

New York, NY · Hybrid

* Data Scientist * Hybrid, NY * Up to $125k base + 7-10% bonus Responsibilities: * Collaborate with ... Lead recurring analytical programs with a focus on reproducibility and automation. * Partner with ...

Tech-Marine Business Inc

Data Scientist

Washington, DC · On-site

$70K - $90K/yr

The Data Scientist will support data analytics activities for the NAVSEA Director for Surface Ship Maintenance, Modernization, and Sustainment (SEA 21). * This role is focused on leveraging advanced ...

9th Way Insignia

Data Scientist

Washington, DC

The Data Scientist will support enterprise data modernization, advanced analytics, reporting, automation, and decision-support initiatives across multiple business lines. This position aligns to the ...

Lincare

Data Scientist

Clearwater, FL · On-site

The Data Scientist is primarily responsible for supporting/leading AI-driven initiatives that will ... The individual will be conducting prescriptive,predictive and informational analytics to identify ...

OPS Consulting, LLC

Data Scientist

Laurel, MD · On-site

They are looking for a Data Scientist to extract insights from large datasets, applying mathematical and statistical expertise to analyze data and communicate findings effectively. Responsibilities ...

Brewer Science, Inc.

Data Scientist

Rolla, MO

Analyze large datasets to generate insights and identify patterns, working under guidance from senior data scientists. * Communicate data findings and suggest potential improvements to analyses and ...

SpaceX

Data Scientist (Starlink)

Redmond, WA · On-site

... seeking a Data Scientist for their Starlink program. The role involves developing strategies ... data analytics, models, and techniques to data products created by space vehicles • Create ...

Prescient Edge

Senior Data Scientist

Herndon, VA · On-site

Conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical, written ...

Brewer Science Inc.

Data Scientist

Rolla, MO · On-site

Analyze large datasets to generate insights and identify patterns, working under guidance from senior data scientists. * Communicate data findings and suggest potential improvements to analyses and ...

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Analytics Data Scientist information

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$37.5K

$122.7K

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How much do analytics data scientist jobs pay per year?

As of Jun 5, 2026, the average yearly pay for analytics data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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

To thrive as an Analytics Data Scientist, you need a strong foundation in statistical analysis, data modeling, and programming languages such as Python or R, usually backed by a degree in a quantitative field. Proficiency with tools like SQL, machine learning frameworks (e.g., scikit-learn, TensorFlow), and data visualization platforms like Tableau is expected. Critical thinking, effective communication, and problem-solving skills help you translate complex data insights into actionable business recommendations. These competencies are essential for driving data-driven decisions that support organizational objectives and innovation.

What does an Analytics Data Scientist do?

An Analytics Data Scientist uses data analysis, statistical modeling, and machine learning techniques to help organizations extract insights from large datasets. They identify trends, create predictive models, and provide actionable recommendations to improve business outcomes. Their work involves cleaning and processing data, developing algorithms, and presenting findings to stakeholders in a clear and concise manner.

How does an Analytics Data Scientist typically collaborate with stakeholders across different departments?

Analytics Data Scientists frequently work closely with cross-functional teams, including business analysts, product managers, and IT professionals. They translate complex data findings into actionable insights tailored to each department's goals. Regular communication is essential, as they often present data-driven recommendations to non-technical audiences and adjust their analyses based on stakeholder feedback. This collaborative environment helps ensure that data-driven strategies align with business objectives and drive measurable impact.

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

AspectAnalytics Data ScientistData Analyst
Required SkillsStatistical analysis, machine learning, programming (Python, R)Data visualization, SQL, basic statistics
Work EnvironmentAdvanced analytics, predictive modeling, data science projectsReporting, data cleaning, descriptive analysis
Common EmployersTech companies, finance, healthcareRetail, marketing, business services

While both roles analyze data to support business decisions, Analytics Data Scientists focus on building predictive models and advanced analytics, whereas Data Analysts primarily handle data reporting and descriptive analysis. The roles often overlap but differ in complexity and technical depth.

More about Analytics Data Scientist jobs
What cities are hiring for Analytics Data Scientist jobs? Cities with the most Analytics Data Scientist job openings:
What job categories do people searching Analytics Data Scientist jobs look for? The top searched job categories for Analytics Data Scientist jobs are:
Analytics Data Scientist jobs near you
Infographic showing various Analytics Data Scientist job openings in the United States as of May 2026, with employment types broken down into 9% Internship, 82% Full Time, 5% Part Time, 1% Temporary, 2% Contract, and 1% Summer. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist

Data Scientist

CLARA analytics

Santa Clara, CA • On-site

Full-time

Posted 18 days ago

Job description

Company Description
At CLARA analytics we build AI-based InsurTech products that help workers' compensation claims examiners get in front of their claims through easy-to-use AI and machine learning. Our CLARA Claims product helps claims managers focus their teams' efforts, while CLARA Providers helps connect the injured worker to the right doctor fast. While there is deep data science behind these solutions, they are packaged in easy-to-use formats that can start delivering value in a few months.
Job Description
CLARA analytics is looking for extraordinary data scientists to synthesize and leverage ever-growing datasets to help radically transform the operational performance in the workers' compensation sector.
The Data Scientist role involves working on all stages of the data science pipeline, from acquiring and assessing data, selecting appropriate models and algorithms and/or deriving custom algorithms, testing and evaluating these algorithms and models, and incorporating them into a commercial product. She/He will work with a team of Data Scientists to create bleeding edge analytic technology.
This is a chance to get in early with a rapidly growing Silicon Valley company, and to participate in developing the next generation of truly game-changing, healthcare-related products. Job title and compensation will be adjusted as appropriate to meet the experience level of the right candidate.
Qualifications
Key Responsibilities
  • Analyze various data sets and build sophisticated mathematical/statistical models
  • Design and optimize algorithms to achieve the best solutions
  • Collaborate with product management and engineering departments to understand company needs and devise possible solutions
  • Keep up-to-date with latest technology trends
  • Communicate results and ideas to key decision makers
  • Implement new statistical or other mathematical methodologies as needed for specific models or analysis
  • Participate in product ideation sessions, roadmap reviews and customer calls as needed.

Qualifications & Experience
  • Strong quantitative and analytical skills with an advanced degree in a STEM discipline (Masters required, PhD preferred)
  • Experience using at least two of the following: R, Python, C, C++, SQL, Java. (Experience with Spark/Scala a plus.)
  • Experience defining research hypotheses, analyzing data sets, engineering features and building machine learning mathematical/statistical models and/or optimization algorithms
  • Ability to communicate complex quantitative analysis results in a clear, precise, and actionable manner using a variety of presentation tools including Excel, PowerPoint, etc.
  • Ability to work collaboratively and independently.

Personal Characteristics
  • A passion for data science and problem-solving in general
  • Self-driven individual who can take a high level idea and see it through to completion with minimal supervision
  • The desire and ability to work in a fast-paced, start-up atmosphere
  • Takes a pragmatic approach to problem-solving, combined with the ability to thrive under the pressure of constant change and moving objectives
  • Ability to work under tight deadlines and display grace under pressure
  • Willingness to learn about the industry we serve
  • Excellent organizational, interpersonal, and communication skills (both written and verbal).

Additional Information
At CLARA analytics, we value diversity and always treat all employees and job applicants based on merit, qualifications, competence, and talent. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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