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Data Scientist Jobs (NOW HIRING)

Brewer Science, Inc.

Data Scientist

Rolla, MO · On-site

A Data Scientist is responsible for working cross functionally in the organization with different groups to assist in data collection plans, to analyze, process, and model data, and to teach data ...

NTT DATA Americas, Inc

Data Scientist

Irving, TX · On-site

Data Scientist - Irving, TX - 26-01056 Hybrid, 3 days onsite weekly W2 only accepted, no c2c or 1099 or OPT/CPT 1 year project Company Overview: Req ID: 365619 NTT DATA strives to hire exceptional ...

Brewer Science Inc.

Data Scientist

Rolla, MO · On-site

A Data Scientist is responsible for working cross functionally in the organization with different groups to assist in data collection plans, to analyze, process, and model data, and to teach data ...

Applied Information Sciences

Data Scientist

Washington, DC · Hybrid

$116K - $174K/yr

The Data Scientist will help develop and deploy AI models from ideation to production. Required For This Opportunity * Bachelor's Degree in Computer Science * At least 5+ years of experience in Data ...

Applied Information Sciences

Data Scientist

Alexandria, VA · On-site

$94K - $141K/yr

Provide data science and advanced data analytics to support federal investigations. * Utilize data mining techniques to find patterns in large data sets * Develop prototype software to meet the needs ...

Applied Information Sciences

Data Scientist

Alexandria, VA · On-site

$94K - $141K/yr

Provide data science and advanced data analytics to support federal investigations. * Utilize data mining techniques to find patterns in large data sets * Develop prototype software to meet the needs ...

VTG

Data Scientist

Chantilly, VA

A Data Scientist represents an effective arbiter of strong technical knowledge and clear communication to inform decision makers and warfighters. Main responsibilities of data scientists include a ...

VTG

Data Scientist

Chantilly, VA · On-site

A Data Scientist represents an effective arbiter of strong technical knowledge and clear communication to inform decision makers and warfighters. Main responsibilities of data scientists include a ...

VTG

Data Scientist

Chantilly, VA

Data Scientist I supports government and program teams by assisting with data analysis, visualization, and reporting to inform mission, operational, and business decisions under senior supervision.

Brillient

Data Scientist

Silver Spring, MD

Brillient is seeking an experienced Data Scientist to join our team supporting a federal contract in Silver Spring, MD. This position requires U.S. Citizenship or a permanent resident and the ability ...

Prophecy Technologies

Data Scientist

Elk Grove, CA · On-site

We are seeking an experienced Data Science Engineer to join our team. The ideal candidate will have strong expertise in data science, machine learning, and AI-driven features that enhance decision ...

Innovizant LLC

Data Scientist

Madison, WI · On-site

Innovizant made up of exceptional data scientists and domain experts with a great experience in Our financial services industry solutions include Credit Risk insights, Customer Churn analysis ...

VTG

Data Scientist

Chantilly, VA · On-site

Data Scientist I supports government and program teams by assisting with data analysis, visualization, and reporting to inform mission, operational, and business decisions under senior supervision.

campus4tech

Data Scientist

Manhattan, NY · On-site

Job Title- Data Scientist Location- New York, NY 10112 Reporting Type- Onsite W2 candidates only preferred Green Card Holders and US Citizens only preferred Summary This role involves building and ...

Applied Information Sciences

Data Scientist

Washington, DC · On-site

$94K - $141K/yr

Project Summary The Data Scientist will support data-driven decision-making by collecting, integrating, analyzing, and visualizing complex datasets. This role focuses on developing analytical models ...

Innovizant LLC

Data Scientist

Madison, WI

Innovizant made up of exceptional data scientists and domain experts with a great experience in Our financial services industry solutions include Credit Risk insights, Customer Churn analysis ...

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All JobsData Scientist Jobs

Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do data scientist jobs pay per year?

As of Jun 25, 2026, the average yearly pay for 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 a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What Do Data Scientists Do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

Is a data scientist job still in demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and the field continues to grow as organizations seek to leverage big data for competitive advantage.

What are Data Scientists?

Data Scientists are professionals who use statistical, analytical, and programming skills to collect, analyze, and interpret large volumes of data. They extract insights and trends from complex data sets to help organizations make data-driven decisions. Data Scientists often work with machine learning, data mining, and big data technologies to build predictive models and solve business problems. Their work bridges the gap between technical data analysis and actionable business strategy.

What does a data scientist do exactly?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use statistical techniques, programming languages like Python or R, and tools such as SQL and machine learning algorithms to interpret data and communicate findings to stakeholders.

Is 30 too late for data science?

Data scientists can enter the field at any age, including 30 or older, as success depends on skills, experience, and continuous learning. Many professionals transition into data science from different backgrounds by acquiring relevant skills such as programming, statistics, and machine learning through courses or certifications. Age is generally not a barrier if you develop a strong portfolio and stay current with industry tools and techniques.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

What jobs does data science do?

Data science involves analyzing large datasets to extract insights, build predictive models, and support decision-making across various industries. Data scientists often work with programming languages like Python or R, utilize machine learning techniques, and communicate findings to stakeholders. They can be employed in fields such as finance, healthcare, marketing, and technology, often requiring strong analytical skills and knowledge of statistical methods.

What are some typical projects Data Scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.
More about Data Scientist jobs
What cities are hiring for Data Scientist jobs? Cities with the most Data Scientist job openings:
What are the most commonly searched types of Data Scientist jobs? The most popular types of Data Scientist jobs are:
Who are the top companies hiring for Data Scientist jobs? The top employers for Data Scientist jobs are:
What states have the most Data Scientist jobs? States with the most job openings for Data Scientist jobs include:
What job categories do people searching Data Scientist jobs look for? The top searched job categories for Data Scientist jobs are:
What are popular job titles related to Data Scientist jobs? For Data Scientist jobs, the most frequently searched job titles are:
Data Scientist jobs near you
Infographic showing various Data Scientist job openings in the United States as of June 2026, with employment types broken down into 75% Full Time, 4% Part Time, 18% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Data Scientist

Data Scientist

Brewer Science, Inc.

Rolla, MO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago

Job description

Brewer Science, Inc. is a major innovator of high-technology solutions for the semiconductor / microelectronics markets. We are currently seeking a purpose-driven candidate with an ownership mentality to fill an open position as a Data Scientist (level I, or II). This position will be located in Rolla, MO.

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor an employment visa for this position.

 Summary:

A Data Scientist is responsible for working cross functionally in the organization with different groups to assist in data collection plans, to analyze, process, and model data, and to teach data collection strategies and data analysis. Data scientists will work with subject matter experts to interpret the results to create actionable plans for the company to optimize and improve our revenue streams. Additionally, data scientists will monitor and work toward ensuring the company shows a high statistical IQ in all outward-facing interactions.
Responsibilities:

Data Scientist I:

  • Work with diverse data from a wide range of projects across the business unit.
  • Perform data cleaning and manipulation to prepare datasets for analysis using techniques such as standardization and decomposition.
  • Perform exploratory data analysis to identify correlations, data integrity issues, and missing data.
  • 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 approaches.
  • Automate ETL (extract, transform, load) processes and monitor their performance.
  • Collaborate with scientists to understand data requirements and provide analysis support.
  • Develop basic statistical visualizations to highlight multi-dimensional correlations within data.
  • Seek feedback from senior team members and business groups for improving data analysis processes.

Data Scientist II:

  • Same duties as Data Scientist I. 

  • Additional duties as Data Scientist II: 

    • Perform exploratory data analysis to uncover insights, anomalies, and correlations from complex datasets.

    • Automate and enhance existing data analysis pipelines and ensure quality control throughout the process.

    • Code as necessary in support of statistical consulting, maintaining organized documentation of code, encouraging other’s documentation of code, and troubleshooting other’s code.

    • Design, develop, and optimize advanced statistical models and machine learning (ML) and/or artificial intelligence (AI) algorithms.

    • Apply and integrate a variety of data pre-processing techniques to improve data quality and analysis outcomes.

    • Participate in cross-functional teams to identify opportunities for process improvement and data-driven decision-making.

    • Conduct detailed analysis and help develop strategies to improve data accuracy and integrity.

    • Provide support to junior data scientists and assist in mentoring them in analysis techniques and tools.

    • Develop clear, visual reports that effectively communicate complex data findings to non-technical stakeholders.

Education amp; Credentials:

Applicants are encouraged to submit a link to their GitHub profile showcasing relevant projects.
Data Scientist I:
  • Bachelor’s degree in statistics, computer science, mathematics, or relevant field and
  • Experience with SQL or similar language preferred and
  • Intermediate Python skills or similar language preferred and
  • Background in data analysis, parsing, and manipulation or
  • An equivalent combination of education and related experience.
Data Scientist II:
  • Bachelor’s Degree in Statistics, Computer Science, Mathematics, or relevant STEM field 2+ years of data querying experiences such as SQL or similar language or
  • An equivalent combination of education and related experience.
  • A master's degree is preferred.

Benefits

At Brewer Science, we are a Top Workplace, Certified Employee-Owned, Certified B Corp™, and GreenCircle Certified Zero Waste to Landfill. By joining Brewer Science, you will be eligible to receive benefits including:

  • Medical, dental, vision, life, long- and short-term disability, identity theft protection, and pet insurance

  • Paid leave, including community service leave, wellness breaks, and other special leave

  • Employee stock ownership, 401k, and bonus plans

  • Educational assistance amp; employee assistance program

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor an employment visa for this position.

Application Process: To apply for this position please complete the online application. This position is open until filled. Screening will begin immediately.
Equal Employment Opportunity - M/F/Disability/Veterans

Apply