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Master Data Scientist Jobs (NOW HIRING)

TechYantram Solutions

Data Scientist

Boston, MA · On-site

Bachelor''s or Master''s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. * Proficiency in Python for data analysis and modeling. * Experience with SQL for data ...

Core Interface

Data Scientist

Chantilly, VA · On-site

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field (Ph.D. preferred). * 5+ years of hands-on experience applying machine learning and ...

Beth Page tech

Data Scientist

Houston, TX · On-site

Master's/PhD in Computer Science, Data Science, or equivalent experience * 4-7 years of industry experience working with real-world datasets * Experience with Agile Scrum development methodology * C# ...

PB Consulting

Data Scientist

Altamonte Springs, FL · On-site

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field. * Strong hands-on experience with Snowflake, including solution ...

ZR Sandbox

Data Scientist

Boulder, CO · On-site

$130K - $160K/yr

Master's or PhD in Data Science, Statistics, or related field. * 5-8 years of data science experience. * Expertise in Python, SQL, and machine learning frameworks. * Strong analytical and ...

Agile Tech Labs

Data Scientist

Detroit, MI · On-site

Job Title: Data Scientist Job Location: Detroit, MI (Hybrid) Job Type: Contract * Develop and ... Master's degree preferred. Preferred Skills * Experience building AI solutions using LLMs and ...

Newton Research

Data Scientist

Boston, MA

$160K - $180K/yr

Master's or PhD in a quantitative field such as Mathematics, Physics, Computer Science, or a related discipline. * Strong foundation in data analysis, statistical modeling, and machine learning ...

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Master Data Scientist information

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$165K

$243.5K

How much do master data scientist jobs pay per year?

As of Jul 12, 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.

Can you be a data scientist with a master's?

A master's degree in a relevant field such as data science, computer science, or statistics is often sufficient for many data scientist roles. Employers typically value strong analytical skills, programming experience in tools like Python or R, and knowledge of machine learning, which can be gained through a master's program. Additional certifications or practical experience can further enhance job prospects.

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.

Is a master's in data science worth it?

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 and proficiency with tools like Python, R, and SQL are also critical for success in the field. The value depends on individual career goals and the specific industry or company requirements.

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.

What are the key skills and qualifications needed to thrive as a Master Data Scientist, and why are they important?

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.

Is 40 too late for data science?

Master Data Scientists and other data science professionals can successfully start or transition into the field at age 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, as well as gaining practical experience through projects or certifications; age is generally not a barrier in the industry.

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.

Can data scientists make $300k?

Senior data scientists with extensive experience, advanced skills in machine learning, and proficiency in tools like Python and SQL can earn salaries of $300,000 or more, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of expertise, leadership responsibilities, and sometimes stock options or bonuses.
More about Master Data Scientist jobs
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 July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Data Scientist

TechYantram Solutions

Boston, MA • On-site

Other

Posted 10 days ago

Job description

Data ScientistIntroduction:

As a Data Scientist, you will be responsible for analyzing complex data sets to inform business decisions and drive strategy. You will work closely with cross-functional teams to identify trends, build predictive models, and develop data-driven solutions.

Responsibilities:
  • Utilize advanced statistical and machine learning techniques to analyze and interpret data.
  • Develop and implement algorithms to extract insights from large data sets.
  • Build predictive models to forecast trends and outcomes.
  • Collaborate with stakeholders to understand business objectives and provide data-driven recommendations.
  • Communicate findings to non-technical audiences through visualizations and presentations.
  • Stay current on industry trends and best practices in data science.
Requirements:

Required Skills:

  • Bachelor''s or Master''s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • Proficiency in Python for data analysis and modeling.
  • Experience with SQL for data manipulation and querying.
  • Knowledge of Pandas, NumPy, and Scikit-learn for data processing and machine learning.

Preferred Skills:

  • Experience with TensorFlow or PyTorch for deep learning.
  • Understanding of MLOps for managing machine learning workflows.
  • Familiarity with natural language processing (NLP) techniques.

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