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Masters In Statistics Jobs in Columbia, MD (NOW HIRING)

Leidos

Principal Data Engineer

Bethesda, MD · On-site

... experience; or Masters degree with 10 or more years of relevant experience. Will consider ... in statistics, data science, or computational linguistics with hands-on experience with enterprise ...

Enlighten

Product Champion - 29731

Fort George G Meade, MD · On-site

$118K - $170K/yr

Regular data science activities consist of operational research, statistical analysis, hypothesis ... S. in Information Technology, Cyber Security, or related; 3 years relevant experience with Masters ...

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Masters In Statistics information

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$40.2K

$83K

$116.1K

How much do masters in statistics jobs pay per year?

As of Sep 6, 2026, the average yearly pay for masters in statistics in Columbia, MD is $83,021.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,600.00 and $115,100.00 per year, depending on experience, location, and employer.

What can you do with a master's in statistics?

A Master's in Statistics opens up a wide range of career opportunities in various industries, including healthcare, finance, government, technology, and research. Graduates often work as data analysts, statisticians, biostatisticians, data scientists, or research scientists. They are responsible for collecting, analyzing, and interpreting data to help organizations make informed decisions. This degree also provides a strong foundation for pursuing doctoral studies or specialized roles in academia and industry.

What types of roles and industries typically hire professionals with a master's in statistics, and how do these roles differ in daily responsibilities?

A Master's in Statistics opens doors to a variety of roles across industries such as healthcare, finance, technology, government, and research institutions. For example, statisticians in healthcare may focus on designing clinical trials and analyzing patient outcomes, while those in finance might develop risk models or forecast market trends. In tech, statisticians often collaborate with data scientists and engineers to optimize algorithms or interpret large data sets. Daily responsibilities can range from data cleaning and analysis to presenting findings and advising stakeholders, with collaboration and communication being key across all sectors.

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

To thrive as a Statistician, you need strong quantitative analysis skills, a solid foundation in probability and statistical theory, and typically a master's degree in statistics or a related field. Familiarity with statistical software such as R, SAS, or Python, and experience with data management systems are common technical requirements. Excellent problem-solving abilities, attention to detail, and clear communication skills help statisticians interpret data and explain results to non-experts. These skills are vital for providing accurate analyses that inform decision-making and drive research or business strategies.

What is the difference between Masters In Statistics vs Data Analyst?

AspectMasters In StatisticsData Analyst
Required CredentialsMaster's degree in Statistics or related fieldBachelor's or Master's degree in related fields like Business, Economics, or Computer Science
Work EnvironmentResearch, academia, data science teams in various industriesBusiness, finance, marketing departments, often in corporate settings
Industry UsageUsed in research, academia, specialized data science rolesApplied in business decision-making, reporting, and operational analysis

Masters In Statistics and Data Analyst roles share overlapping skills in data handling and analysis. However, a Masters In Statistics typically involves advanced statistical theory and research, preparing individuals for specialized or academic roles. Data Analysts focus on applying data skills to solve business problems, often with less emphasis on theoretical research. Both roles are vital in data-driven industries, but their focus and career paths differ.

Is a master's in statistics a good idea?

A master's in statistics prepares individuals for roles such as data analyst, statistician, or data scientist, often requiring proficiency in programming languages like R or Python and knowledge of statistical methods. It can enhance job prospects in industries like finance, healthcare, and technology, where data-driven decision making is valued.

What is the highest paying job in statistics?

The highest paying jobs in statistics are often roles like Chief Data Officer, Quantitative Research Director, or Data Science Director, which typically require extensive experience, advanced skills in programming and analytics, and leadership responsibilities. These positions can offer salaries exceeding $150,000 annually, especially in finance, technology, and consulting industries.

What are popular job titles related to Masters In Statistics jobs in Columbia, MD?

For Masters In Statistics jobs in Columbia, MD, the most frequently searched job titles are:

What job categories do people searching Masters In Statistics jobs in Columbia, MD look for?

The top searched job categories for Masters In Statistics jobs in Columbia, MD are:

What cities near Columbia, MD are hiring for Masters In Statistics jobs?

Cities near Columbia, MD with the most Masters In Statistics job openings:

Masters In Statistics jobs near you
Infographic showing various Masters In Statistics job openings in Columbia, MD as of August 2026, with employment types broken down into 79% Full Time, 18% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $83,973 per year, or $40.4 per hour.

Principal Data Engineer

Leidos

Bethesda, MD • On-site

Full-time

Re-posted 9 days ago

Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 153 frontline employees who took The Breakroom Quiz

81st of 500 rated business services

Job description

Job Summary:
Leidos has an exciting opportunity for a Data Engineer in their Intel Sector's Analysis Solutions Business Area. The role involves designing, developing, and administering a Next Generation Correlation/Entity Resolution platform, focusing on data exploitation capabilities to support multiple applications.
Responsibilities:
• Design, develop, and maintain probabilistic matching configurations, algorithms, and scoring models to ensure accurate entity resolution across multi-domain data sources.
• Analyze and connect records to determine relationships across datasets, creating accurate master data views that improve data quality and compliance readiness.
• Oversee data model design, implementation, testing, deployment, and environment administration to ensure high availability and performance.
• Configure and optimize standardization, bucketing, and comparison algorithms; design custom rules, weights, and thresholds; and apply advanced techniques to consolidate records across disparate sources.
• Perform match tuning, false positive/negative analysis, threshold optimization, and maintain data quality scorecards and effectiveness metrics.
• Optimize database performance through indexing, partitioning, and query tuning; monitor systems; and conduct capacity planning and performance testing.
• Partner with stakeholders to translate requirements into solutions, document architecture and procedures, and participate in incident response and root cause analysis.
Qualifications:
Required:
• Hands-on experience with probabilistic matching and entity resolution solutions, including translating business requirements into technical configurations
• Strong knowledge of entity resolution concepts, data linkage theory, and matching algorithms (Fellegi-Sunter, distance metrics, phonetic approaches)
• Expertise in data quality dimensions, tokenization, standardization, and normalization techniques to improve matching effectiveness
• Advanced analytical and problem-solving skills with proven experience in data analysis and pattern recognition
• Proficiency in SQL and enterprise relational databases (Oracle) within large-scale environments, including performance tuning for high-volume transactional systems
• Experience with enterprise ETL platforms, data integration tools, and maintaining large-scale, cloud-based Linux information systems
• Familiarity with Agile development methodologies and collaborative software delivery practices
• BS degree with 12 or more years of relevant experience; or Masters degree with 10 or more years of relevant experience. Will consider additional relevant work experience in lieu of a degree.
• Must have an active TS/SCI with polygraph security clearance
Preferred:
• Background in statistics, data science, or computational linguistics with hands-on experience with enterprise Master Data Management (MDM) platforms (e.g., IBM InfoSphere MDM)
• Experience with IBM InfoSphere MDM administrative tools, workbench, and configuration utilities
• Knowledge of probabilistic matching engines including standardization algorithms, bucketing strategies, comparison functions, and scoring models and familiarity with identity resolution in multi-domain environments and machine learning approaches to entity resolution and record linkage
• Experience in healthcare, financial services, or other industries with complex entity matching requirements
• Professional certification in Master Data Management, Data Quality or Database Administration
• Experience with development in Commercial Cloud Platforms (e.g., AWS, Oracle, Azure) and leveraging cloud data services (e.g., S3, RDS, SQS)
• Familiarity with Java or similar programming languages for custom extensions and matching algorithm development
Company:
Leidos is an industry and technology leader serving government & commercial customers with smarter, more efficient digital and mission innovations. Founded in 1969, the company is headquartered in Reston, USA, with a team of 10001+ employees. The company is currently Late Stage.

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About Leidos

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At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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