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Data Science Degree Jobs (NOW HIRING)

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 ...

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 ...

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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 Jun 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 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.

What jobs can you get with a bachelor's degree in data science?

A bachelor's degree in data science qualifies you for roles such as data analyst, data scientist, business intelligence analyst, and data engineer. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, SQL, and Tableau.

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 jobs can you do with data science?

With a data science degree, you can pursue roles such as data analyst, data scientist, machine learning engineer, business intelligence analyst, and data engineer. These jobs typically require skills in programming, statistical analysis, and data visualization tools like Python, R, SQL, and Tableau.

What can I do with my data science degree?

A data science degree prepares individuals for roles such as data analyst, data scientist, machine learning engineer, or business intelligence analyst. Graduates can work in various industries, utilizing skills in programming, statistical analysis, and data visualization with tools like Python, R, and SQL. Certifications and experience with cloud platforms or big data technologies can enhance job prospects.

What jobs can a data science degree get?

A data science degree qualifies individuals for roles such as data analyst, data scientist, machine learning engineer, and business intelligence analyst. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, SQL, and Tableau, often with a focus on solving complex data problems in various industries.

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 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.
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 June 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.
Entry Level Artificial Intelligence/Machine Learning/Data Science

Entry Level Artificial Intelligence/Machine Learning/Data Science

SynergisticIT

Jersey City, NJ

Other

Posted 20 days ago

Job description

Entry Level Artificial Intelligence/Machine Learning/Data Science

Greetings, My name is Anand and I'm an IT recruiter at Synergistic IT. Our records show that you are an experienced IT professional with experience in Entry Level Artificial Intelligence/Machine Learning/Data Science. This experience is relevant to one of my current openings.

Location: NY, NJ, CA, TX Type: Contract/Fulltime Experience: 0-1+ Years Required Technical and Professional Expertise:

  • Demonstrated work experience in an education-related field, training, program/project management
  • Proven track record of driving project timelines to meet program objectives

Preferred Technical and Professional Expertise:

  • Having knowledge of or experience with some IBM's specific technology offerings in areas such as Data Science, AI, as well as Open Source products such as Python.
  • Basic knowledge with Adobe Captivate, Camtasia and/or Adapt
  • Proven work experience in an education-related field in Data Science, Machine Learning and AI
  • Instructional Design knowledge
  • Masters of Science degree in Analytics, Data Science, or related field

Apply