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Master Data Scientist 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.

Amgen SA

Sr Data Scientist

Thousand Oaks, CA · On-site

$140 - $190/hr

Master's degree and 2 years of Data Scientist experience * Bachelor's degree and 4 years of Data Scientist experience * Associate's degree and 8 years of Data Scientist experience * High school ...

Central Garden & Pet

Master Data Analyst

Madison, GA · On-site

Bachelor's degree in business administration, information systems, data analytics, computer science ... Two to four years of experience in master data, data operations, data quality, ERP administration ...

Central Garden & Pet

Master Data Analyst

Madison, GA

Bachelor's degree in business administration, information systems, data analytics, computer science ... Two to four years of experience in master data, data operations, data quality, ERP administration ...

Central Garden & Pet

Master Data Analyst

Atlanta, GA

Bachelor's degree in business administration, information systems, data analytics, computer science ... Two to four years of experience in master data, data operations, data quality, ERP administration ...

Central Garden & Pet

Master Data Analyst

Madison, GA

Bachelor's degree in business administration, information systems, data analytics, computer science ... Two to four years of experience in master data, data operations, data quality, ERP administration ...

Central Garden & Pet

Master Data Analyst

Atlanta, GA

Bachelor's degree in business administration, information systems, data analytics, computer science ... Two to four years of experience in master data, data operations, data quality, ERP administration ...

Brewer Science

Data Scientist

Rolla, MO · On-site

... 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 ...

Central Garden & Pet

Master Data Analyst

Atlanta, GA

Bachelor's degree in business administration, information systems, data analytics, computer science ... Two to four years of experience in master data, data operations, data quality, ERP administration ...

VTG

Data Scientist

Mclean, VA

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (PhD preferred for some roles) * 5+ years of experience in data science or a related field

VTG

Data Scientist

Chantilly, VA

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or related field (PhD preferred for some roles) * 5+ years of experience in data science or a related field

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How much do master data scientist jobs pay per year?

As of Aug 26, 2026, the average yearly pay for master data scientist in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a master data scientist?

A Master Data Scientist is an advanced-level professional who specializes in analyzing complex data sets to extract meaningful insights, drive strategic decisions, and solve business problems. They combine expertise in statistics, machine learning, programming, and domain knowledge to design and implement sophisticated data models. Master Data Scientists often lead data science teams, mentor junior members, and play a key role in setting data strategy and best practices within an organization. Their work is integral to optimizing processes, predicting trends, and supporting innovation across various industries.

What are the key skills and qualifications needed to thrive as a master data scientist?

A Master Data Scientist typically requires advanced statistical knowledge, strong programming skills (such as Python or R), and a graduate degree in a quantitative field. Expertise with machine learning frameworks, big data platforms (like Hadoop or Spark), and data visualization tools, as well as certifications such as Certified Analytics Professional (CAP), are highly valued. Exceptional problem-solving, communication, and leadership skills help drive impactful insights and collaborate across teams. These competencies enable data-driven decision-making and innovation, ensuring that complex analytical projects deliver actionable business value.

How does a master data scientist typically collaborate with cross-functional teams within an organization?

As a Master Data Scientist, you'll frequently work alongside departments such as engineering, product management, and business analytics. Collaboration often involves translating complex data insights into actionable business strategies or product features. You'll also guide less experienced data scientists, ensuring analytical consistency and mentoring junior team members. Effective communication and the ability to present findings to both technical and non-technical stakeholders are key parts of the role.

What is the difference between Master Data Scientist vs Data Scientist?

AspectMaster Data ScientistData Scientist
Required CredentialsAdvanced degrees (Master's or PhD), specialized certificationsBachelor's or Master's degree, relevant certifications
Work EnvironmentResearch-focused, complex data projects, leadership rolesData analysis, model development, reporting
Employer & Industry UsageTech firms, finance, healthcare, research institutionsStartups, corporations, consulting firms
Search & Comparison IntentHigher expertise, leadership, advanced skillsEntry to mid-level roles, foundational skills

The Master Data Scientist typically has advanced education and handles complex projects, often leading teams or research efforts. Data Scientists usually possess foundational to intermediate skills, focusing on data analysis and model building. The Master Data Scientist role is more specialized and senior, while Data Scientist roles are more common and entry-level to mid-level positions.

Is it worth it to do a master's in data science?

A master's in data science can enhance a Master Data Scientist's skills in advanced analytics, machine learning, and data management, often leading to higher-level positions and increased salary potential. However, practical experience, certifications, and continuous learning are also critical in this field, and some roles value hands-on skills over formal education alone.

What can I do with a master of data science?

A master of data science prepares individuals for roles such as data scientist, data analyst, or machine learning engineer. Graduates can work in industries like technology, finance, healthcare, and marketing, applying skills in statistical analysis, programming, and data visualization using tools like Python, R, and SQL. Advanced positions may require experience or certifications in specific areas like deep learning or cloud computing.
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What cities are hiring for Master Data Scientist jobs?

Cities with the most Master Data Scientist job openings:

What states have the most Master Data Scientist jobs?

States with the most job openings for Master Data Scientist jobs include:

What job categories do people searching Master Data Scientist jobs look for?

The top searched job categories for Master Data Scientist jobs are:

Master Data Scientist jobs near you
Infographic showing various Master Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist

Find Data Science

San Francisco, CA

Full-time

Posted 19 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.