ZipRecruiter

Log In

1

Data Scientist Jobs (NOW HIRING)

Brewer Science

Data Scientist

Rolla, MO · On-site

They are currently seeking a purpose-driven candidate to fill an open position as a Data Scientist, responsible for working cross functionally to assist in data collection plans, analyze and model ...

Pantheon Data

Data Scientist

Washington, DC · On-site

$80K - $150K/yr

Position Overview The Data Scientist designs and develops advanced analytical models to support descriptive, diagnostic, predictive, and prescriptive analytics initiatives. Responsibilities * Build ...

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 ...

Pantheon Data

Data Scientist

Washington, DC · On-site

$80K - $150K/yr

Position Overview The Data Scientist designs and develops advanced analytical models to support descriptive, diagnostic, predictive, and prescriptive analytics initiatives. Responsibilities * Build ...

VTG

Data Scientist

Chantilly, VA · On-site

$165K - $210K/yr

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

$165K - $210K/yr

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

$105K - $215K/yr

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 ...

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 ...

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 ...

VTG

Data Scientist

Chantilly, VA

$105K - $215K/yr

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.

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 ...

Reyes Holdings

Data Scientist

Rosemont, IL · On-site

Work with peers, Senior Data Scientists and Data SMEs to produce correct modeling techniques * Document lessons learned and process improvement techniques * Other duties as assigned Required ...

Victory

Data Scientist

Austin, TX

About the Data Scientist position We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You ...

next page

Showing results 1-20

All JobsData Scientist Jobs

Data Scientist information

See salary details

$37.5K

$122.7K

$196.5K

How much do data scientist jobs pay per year?

As of Aug 5, 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 employment opportunities continue to grow as organizations seek to leverage big data for competitive advantage.

Is data science a math heavy field?

Data scientists rely heavily on mathematics, including statistics, linear algebra, and calculus, to analyze data and develop models. Strong math skills are essential for tasks like machine learning, data analysis, and algorithm development, often complemented by programming in languages such as Python or R. However, practical skills in data manipulation and domain knowledge are also important for success in the field.

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 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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% 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

Brewer Science

Rolla, MO • On-site

Full-time

Re-posted 29 days ago

Job description

Job Summary:
Brewer Science, Inc. is a major innovator of high-technology solutions for the semiconductor / microelectronics markets. They are currently seeking a purpose-driven candidate to fill an open position as a Data Scientist, responsible for working cross functionally to assist in data collection plans, analyze and model data, and create actionable plans to optimize revenue streams.
Responsibilities:
• 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.
• 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.
Qualifications:
Required:
• Applicants must be authorized to work for any employer in the U.S.
• Bachelor’s degree in statistics, computer science, mathematics, or relevant field for Data Scientist I.
• Experience with SQL or similar language preferred for Data Scientist I.
• Intermediate Python skills or similar language preferred for Data Scientist I.
• Background in data analysis, parsing, and manipulation for Data Scientist I.
• An equivalent combination of education and related experience for Data Scientist I.
• Bachelor’s Degree in Statistics, Computer Science, Mathematics, or relevant STEM field for Data Scientist II.
• 2+ years of data querying experiences such as SQL or similar language for Data Scientist II.
• An equivalent combination of education and related experience for Data Scientist II.
Preferred:
• A master's degree is preferred for Data Scientist II.
• Applicants are encouraged to submit a link to their GitHub profile showcasing relevant projects.
Company:
Brewer Science is a developer and manufacturer of semiconductors and microelectronic devices. Founded in 1981, the company is headquartered in Rolla, USA, with a team of 201-500 employees. The company is currently Growth Stage.

Apply