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Master Data Scientist Jobs (NOW HIRING)

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 ...

As our Master Data Analyst , you'll own the integrity and structure of material master data across ... Syntegon Technology is a proud supporter of STEM (Science, Technology, Engineering & Mathematics ...

The Data Scientist will join a team of other data scientists and analysts in helping develop the ... Participate in projects to improve business intelligence capabilities, master data management, data ...

The Data Scientist will join a team of other data scientists and analysts in helping develop the ... Participate in projects to improve business intelligence capabilities, master data management, data ...

Bachelor's degree, preferably with a computer science or Engineering orientation or equivalent work experience in Supply Chain or Manufacturing industry.3+ years' experience in SAP Master Data ...

Data Scientist

Vancouver, WA · Hybrid

$65 - $70/hr

A Bachelor's or Master's degree in advanced mathematics, computer science, machine learning, or ... Manipulating data sets, querying databases, and building statistical models Statistical or data ...

Data Scientist

Manhattan, NY · On-site

$80K - $90K/yr

Please note that due to city requirements only applicants with a master's degree and at least 3 ... We are seeking a Data Scientist that will join the Data Analytics Unit, within TLC's Policy ...

Bachelors of Science in Engineering, Supply Chain, Data Science, or similar * 10+ years of ... Optimized master data configuration impact * Drive measurable shop-floor execution improvements ...

This candidate will serve as a Data Scientist in NYC DOT's Bike Share & Shared Mobility unit, which ... However, all candidates must have at least a master's degree in an appropriate field of ...

This candidate will serve as a Data Scientist in NYC DOT's Bike Share & Shared Mobility unit, which ... However, all candidates must have at least a master's degree in an appropriate field of ...

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Master Data Scientist information

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$46K

$165K

$243.5K

How much do master data scientist jobs pay per year?

As of Jun 19, 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.

Is it worth doing 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 and proficiency with tools like Python, R, and SQL are also highly valued in the field, and some roles may prioritize experience over formal education.

What jobs can I get with a master's degree in data science?

A master's degree in data science qualifies you for roles such as data scientist, machine learning engineer, data analyst, and business intelligence analyst. These positions typically require skills in programming, statistical analysis, and data visualization tools like Python, R, and SQL, and may involve working with large datasets in various industries.

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 AI replacing data scientists?

AI is transforming the role of data scientists by automating routine tasks such as data cleaning and basic analysis, but it does not replace the need for skilled professionals to interpret complex data, develop models, and make strategic decisions. Data scientists with expertise in machine learning, statistical analysis, and programming remain essential for designing and deploying AI solutions effectively.

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 roles value skills and experience over age; many professionals transition into data science later in their careers. Success depends on acquiring relevant knowledge, such as programming, statistics, and tools like Python or R, and building a strong portfolio. Age should not be a barrier if you develop the necessary expertise and stay current with industry trends.

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.
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Posted 13 days ago


Job description

Data Scientist

Company Description

Newton Research is a fast-growing software start-up founded by repeat entrepreneurs and well-funded by blue chip venture capital firms.  We are building the next generation of the closed loop media lifecycle, developing AI agents that leverage the latest in LLMs and generative AI with specialized knowledge.  Our products to generate actionable business insights for our customers and partners, assisting in each step of the media planning, buying and measurement lifecycle.

Role Description

This is a full-time Data Scientist role with Newton Research, Inc.  This role requires the candidate to work at our offices in Needham, MA. The Data Scientist will be responsible for developing production-level data models and algorithms, analyzing data, designing experiments, and interpreting results. The role will also involve collaborating with cross-functional teams, mentoring other data scientists, and presenting findings to stakeholders. We value self-motivated individuals who enjoy working on small teams in a dynamic and fast-changing environment.

Qualifications

  • 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 concepts.
  • Proficiency in Python, including familiarity with data science libraries like pandas and scikit-learn.
  • Experience writing SQL queries and working with relational databases.
  • Demonstrated ability to approach data challenges systematically and creatively.
  • Ability to clearly explain technical concepts to both technical and non-technical audiences.
  • Willingness to learn and grow in a fast-paced, dynamic startup environment.
  • Familiarity with big data technologies or cloud computing platforms is a plus.
  • Experience in projects or internships involving collaboration with teams is a plus.
  • Experience in media, marketing, advertising, or related industries is a plus.