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Data Science Degree Jobs (NOW HIRING)

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Data Scientist

San Francisco, CA

Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field. * Proven experience as a Data Scientist or similar role, preferably in a fast-paced environment.

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred * At least 2 yrs of relevant experience in Data Science SKILLS * SQL, statistical modeling, Feature engineering ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred * At least 2 yrs of relevant experience in Data Science SKILLS * SQL, statistical modeling, Feature engineering ...

ALIS Software LLC

Data Scientist

Strong background in statistics, mathematics and with data science degree Healthcare, medical device, life sciences, or regulated-industry experience preferred.

Optimize Partners

Director, Data Science

New York, NY · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a manager of a world-class data science team within a fast-evolving financial landscape, the ... degree or post-doctoral preferred. * At least 3 years of experience in managing a team of Data ...

Altagrove LLC

Data Science

Norfolk, VA · On-site

Bachelor's or Master's degree in Data Science, Computer Science, Data Engineering, Mathematics, Statistics, Engineering, Information Systems, or a related discipline. * Active Secret Clearance ...

ALIS Software LLC

Sr Data Scientist

Strong background in statistics, mathematics and with data science degree Healthcare, medical device, life sciences, or regulated-industry experience preferred.

JCTM, LLC

Data Science SME

Quantico, VA · On-site

$119K - $133K/yr

Bachelor's degree in Computer Science Data Science Mathematics Statistics or a related technical field. * 5+ years of experience applying data science methodologies tools and techniques to solve real ...

Elder Research

Data Scientist

Arlington, VA · On-site

Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences * 2-10+ years of experience in data ...

Walmart

Director- Data Science

Bellevue, WA

$156K - $312K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Programs range from high school completion to bachelor's degrees, including English Language ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Elder Research

Data Scientist

Arlington, VA · On-site

Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences * 2-10+ years of experience in data ...

Walmart

Director- Data Science

Bellevue, WA · On-site

$156K - $312K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Programs range from high school completion to bachelor's degrees, including English Language ... Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science ...

Cypress HCM

Data Science Engineer

Austin, TX · Hybrid

$65 - $69.72/hr

Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field. * Advanced degrees are a plus. * 5 years of experience in data science and machine learning. * Demonstrate ...

Valero

Data Science Specialist

San Antonio, TX · On-site

  • Medical

  • Retirement

Bachelor's or higher-level degree - in a Quantitative Field such as: Mathematics, Engineering, Data Science or Computer Science or related field or equivalent. * 5 years of experience in programing ...

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Data Science Degree information

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$37.5K

$122.7K

$196.5K

How much do data science degree jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data science degree 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 is a data science degree?

A Data Science degree is an academic program that prepares students to analyze, interpret, and derive insights from complex data sets using statistical, computational, and machine learning techniques. The curriculum typically includes coursework in mathematics, statistics, computer science, and specialized data science methods. Graduates are equipped with the skills to work in a variety of industries, tackling real-world problems by leveraging data-driven decision making. This degree can be pursued at the undergraduate or graduate level, and often includes hands-on projects and internships.

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 mathematics, statistics, and programming, typically supported by a degree in data science, computer science, or a related field. Proficiency in technical tools such as Python or R, SQL, and machine learning frameworks, along with relevant certifications, is highly valued. Strong problem-solving abilities, effective communication, and curiosity help set apart top-performing data scientists. These skills are crucial for extracting actionable insights from data, collaborating with stakeholders, and driving data-driven decision-making.

What types of real-world projects or team collaborations can I expect to work on after earning a data science degree?

After earning a Data Science degree, you can expect to engage in a variety of real-world projects such as building predictive models, analyzing large datasets to uncover business insights, and developing data-driven solutions for organizational challenges. Data scientists often collaborate closely with cross-functional teams, including software engineers, business analysts, and domain experts, to translate complex data findings into actionable strategies. These collaborations not only enhance your technical skills but also provide valuable experience in communication and project management, which are essential for career growth in this field.

What is the difference between Data Science Degree vs Data Analyst?

AspectData Science DegreeData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fieldsBachelor's in Statistics, Mathematics, or related fields
Work EnvironmentResearch, modeling, developing algorithms, often in tech or finance industriesData cleaning, reporting, visualization, supporting business decisions
Employer & Industry UsageTech companies, finance, healthcare, academiaRetail, marketing, finance, healthcare

Data Science Degree programs focus on advanced analytics, machine learning, and programming, preparing individuals for complex modeling roles. Data Analysts typically handle data processing, visualization, and reporting to support decision-making. While both roles require strong analytical skills, Data Science degrees emphasize technical and statistical expertise, whereas Data Analysts focus on interpreting data for business insights.

More about Data Science Degree jobs

What cities are hiring for Data Science Degree jobs?

Cities with the most Data Science Degree job openings:

What states have the most Data Science Degree jobs?

States with the most job openings for Data Science Degree jobs include:

What job categories do people searching Data Science Degree jobs look for?

The top searched job categories for Data Science Degree jobs are:

Data Science Degree jobs near you
Infographic showing various Data Science Degree job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

Find Data Science

San Francisco, CA

Full-time

Posted 11 days ago

Job description

Data Scientist - San Francisco

We are seeking a talented and experienced Data Scientist to join our dynamic team in San Francisco. As a Data Scientist, you will play a pivotal role in harnessing data to drive strategic decision-making processes and enhance our product offerings. You will work within a collaborative, innovative environment where your insights will shape our business strategies and help us remain competitive in an increasingly data-driven world.

Your expertise in data analysis, machine learning, and statistical modeling will enable you to tackle complex business challenges. By transforming raw data into actionable insights, you will directly contribute to our mission of providing exceptional products and services that meet the needs of our clients and customers.

Key Responsibilities
  • Analyze large datasets to uncover trends, patterns, and insights that will inform business strategies.
  • Develop, implement, and maintain advanced machine learning models to optimize company performance.
  • Collaborate with cross-functional teams to integrate data-driven solutions into existing business processes.
  • Create visualizations and dashboards to present findings to various stakeholders effectively.
  • Conduct experiments and statistical analysis to evaluate the effectiveness of business strategies.
  • Stay updated on industry trends and best practices regarding data science methodologies and technologies.
  • Mentor junior data analysts and contribute to the development of their technical skills.
  • Document methodologies and processes to ensure that data science projects are scalable and sustainable.
  • Assist in the data governance process to ensure data accuracy and integrity.
Requirements
  • Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
  • Proven experience as a Data Scientist or similar role, preferably in a fast-paced environment.
  • Strong proficiency in programming languages such as Python or R.
  • Experience with data visualization tools (e.g., Tableau, Power BI) and SQL.
  • Solid understanding of machine learning algorithms and statistical analysis techniques.
  • Excellent analytical and problem-solving skills with a keen attention to detail.
  • Strong communication skills, with the ability to convey complex data insights to non-technical audiences.
  • Ability to work collaboratively in a team-oriented environment.
  • Experience with big data technologies (e.g., Hadoop, Spark) is a plus.