1

Master Data Scientist Jobs (NOW HIRING)

Master Data Architect

San Francisco, CA

$75 - $96.50/hr

Master Data Architect Organisation Overview: Our Client operates at the forefront of data ... Relevant degree or professional qualifications in Computer Science, Information Management, or ...

UL Solutions has been pioneering change since 1894, focusing on safety science. The Master Data Steward will manage mastered data across various domains, contributing to the design and implementation ...

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or related field. Preferred Qualifications: * Experience with advanced analytics and big data tools. * Familiarity with ...

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# ...

OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing ...

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 ...

New

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 ...

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 ...

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 ...

Deep Learning, Python OR R, TensorFlow or PyTorch, Data analysis, Forecasting, Master's degree (Statistics, Mathematics, Economics, Operations Research, Data Science, Engineering) Job Overview: We ...

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

Data Scientist

Alexandria, VA · On-site

$94K - $141K/yr

Master's Degree in Computer Science, Computer Engineering, Data Science, or directly related science or engineering field. At AIS, we are committed to offering competitive and fair compensation that ...

Bachelor's or Master's degree in Computer Science, Data Science, or related field. * Python for data analysis and model development.. * Solid understanding of relational databases (SQL) and NoSQL ...

New

next page

Showing results 1-20

Master Data Scientist information

See salary details

$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.
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:
Manager, Master Data Management

Manager, Master Data Management

Chicago Public Schools

Chicago, IL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Job description

Chicago Public Schools (CPS) is a district on the rise, serving over 320,000 students in 500+ schools and employing over 44,000 people, most of them teachers. CPS has set ambitious goals to ensure that every student, in every school and every neighborhood, has access to a world-class learning experience that prepares each for success in college, career, and civic life. In order to fulfill this mission, we make three commitments to our students, their families, and all Chicagoans: academic progress, financial stability, and integrity. Six core values are embedded within these commitments - student-centered, whole child, equity, academic excellence, community partnership, and continuous learning.
The Office of Information and Technology Services (ITS) works to build the capacity of schools to use information and technology, maintain network infrastructure, security standards, and support other departments to meet district goals. ITS provides innovative technology solutions that improve the quality of education for students, reduce the administrative burden on educators, facilitate parent interaction, increase community engagement, and support CPS' mission of transparency by focusing on the ease and equity of access to information.
Job Summary:
The Manager, Master Data Management & Data/AI is responsible for establishing a comprehensive data strategy that encompasses both Master Data Management (MDM) and advanced analytics, including AI/ML initiatives. Reporting to the Executive Director of Data and Analytics, the Manager, MDM & Data AI will lead a team of MDM specialists and data analysts, collaborating with stakeholders across departments to drive data governance and support CPS's ambitious goals for student success. This is a full-time, exempt position that will be paid for time worked on a salary basis.
This position will be held accountable for the following responsibilities:
• Lead, mentor, and develop a high-performing team of MDM specialists and data scientists while defining and implementing the overall MDM vision, strategy, and roadmap for CPS, aligning it with the broader data and AI/ML strategy. Champion data governance initiatives and foster a data-driven culture across the district.
• Oversee the implementation, maintenance, and optimization of the MDM strategy, including data modeling, integration, quality management, and governance. Establish and enforce data quality standards and processes to ensure the accuracy, completeness, and consistency of master data across all systems. Additionally, evaluate, implement, and manage MDM tools and technologies to support CPS's data management needs.
• Lead and oversee the development, implementation, and deployment of advanced analytics and AI/ML models to address business challenges and enhance educational outcomes, ensuring accuracy, reliability, and ethical use.
• Identify opportunities to leverage data and AI/ML to enhance operational efficiency, personalize learning experiences, and support data-informed decision-making.
• Partner with business leaders and stakeholders across departments (e.g., academics, human resources, finance) to understand their data requirements and ensure alignment with the overall data strategy.
• Develop and deliver presentations and reports on MDM and data science initiatives, highlighting their impact and value.
• Define and implement data governance policies and procedures to ensure compliance with internal standards and external regulations (e.g., FERPA).
• Monitor and improve data quality by tracking key metrics, identifying areas for improvement, and implementing corrective actions.
• Continuously research and evaluate new MDM technologies, data science techniques, and AI/ML advancements to optimize data management and analysis processes, while staying informed about industry standards and emerging data privacy regulations.
• Other duties as assigned.
In order to be successful and achieve the above responsibilities, this position must possess the following qualifications:
Education Required:
• Bachelor's degree from an accredited college or university is preferred.
• Major in Computer Science, Information Management, Statistics, or a related field is a plus.
• Certified Information Management Professional (CIMP), Certified Data Management Professional (CDMP), or related certifications are preferred.
Experience Required:
• Minimum of five (5) years of progressive experience in data management, including the following:
• A minimum of two (2) years in a supervisory role.
• Experience in both MDM and data science/AI/ML.
• Experience successfully implementing and managing data-driven initiatives.
Knowledge, Skills, and Abilities:
• Strategic thinker with a deep understanding of MDM principles, concepts, and best practices.
• Extensive experience with data modeling, data integration, data quality management, and data governance.
• Strong knowledge of statistical modeling, machine learning algorithms, and data mining techniques.
• Familiarity with MDM tools and technologies (e.g., Informatica MDM, SAP MDM, IBM InfoSphere MDM).
• Proficiency in data science programming languages (e.g., Python, R) and cloud-based data platforms (e.g., Azure).
• Knowledge of data governance frameworks and data privacy regulations.
• Strong SQL skills and experience with relational databases.
• Excellent communication, interpersonal, and presentation skills.
• Strong leadership, team management, and mentorship abilities.
• Ability to work independently and manage multiple projects simultaneously.
• Strong problem-solving, analytical, and critical thinking skills.
• Ability to build consensus and foster collaboration across diverse teams.
• Strong technical expertise in data science and AI/ML.
• Exceptional leadership skills to ensure data quality, consistency, and accessibility across the organization.
Conditions of Employment
As a condition of employment with the Chicago Public Schools (CPS), employees are required to:
• Establish/Maintain Chicago Residency - Employees are required to live within the geographic boundaries of the City of Chicago within six months of their CPS hire date and maintain residency throughout their employment with the district. The Chicago residency requirement does not apply to temporary/part-time positions, however, all CPS employees must be residents of Illinois.
Benefits:
Health & Wellness: Your Care, Your Choice
CPS is committed to providing comprehensive health coverage to our employees and their eligible dependents. You'll have access to a variety of choices to best fit your needs:
  • Medical Plan Options
  • Pharmacy
  • Dental
  • Vision
  • Behavioral Health & EAP
  • Employee Wellness Program

Financial Security: Planning for Today and Tomorrow
We understand the importance of financial stability, which is why CPS offers strong retirement and savings options:
  • Basic Life Insurance
  • Life and Disability Insurance
  • Pension Plans
  • Supplemental Retirement Plans (403(b) and 457(b))
  • Flexible Spending Accounts (FSAs)
  • Spot Pet Insurance

Work-Life Balance: Supporting Your Personal and Professional Life
CPS values the well-being of its employees and offers competitive paid time off policies:
  • Paid Leave
  • Sick Leave
  • Vacation Days
  • Parental Leaves
  • Short-Term Disability
  • Religious Holidays
  • Leaves

Reference the Chicago Public Schools: A Comprehensive Benefits Overview or the benefits handbook for comprehensive details.