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Phd In Statistics Jobs in Washington (NOW HIRING)

Cmu

Senior Cyber Risk Engineer

Arlington, VA

Cybersecurity Risk Engineersat the SEI use advanced skills in statistics, mathematics, risk ... or a PhD in a relevant discipline with five (5) years of applicable experience. * Technical ...

Emmes

Senior Biostatistician Manager

Rockville, MD · Remote

Master's or PhD in Statistics, biostatistics, epidemiology or related field. * 7 (with PhD) or 10 (with MS) years of related experience; including leading a clinical research team and supervising ...

VTG

Data Scientist

Chantilly, VA · On-site

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

Castellum, Inc.

Be Seen First

Senior Data Scientist

Washington, DC · On-site

$155K - $165K/yr

Minimum Qualifications include: • 5-7 years of experience manipulating data sets and building statistical models. • Master's or PHD in Statistics, Mathematics, Computer Science, or another ...

Elder Research

Data Scientist

Arlington, VA · On-site

Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields; experience applying advanced statistical concepts including sampling ...

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Phd In Statistics information

What is the difference between Phd In Statistics vs Data Scientist?

AspectPhd In StatisticsData Scientist
Required CredentialsTypically a PhD in Statistics or related fieldOften a bachelor's or master's degree in a quantitative field; some roles prefer a PhD
Work EnvironmentAcademic, research institutions, or specialized analytics teamsCorporate, tech companies, or consulting firms
Industry UsageResearch, academia, government, and industry R&DBusiness analytics, product development, and data-driven decision making
Common Search & ComparisonYesYes

While a Phd In Statistics focuses on advanced research, theoretical development, and academic roles, Data Scientists apply statistical and machine learning techniques to solve practical business problems. Both roles require strong analytical skills, but Data Scientists often work in more applied, industry-focused environments, whereas PhD holders may pursue research or academic careers.

What is the highest paying job with a statistics degree?

The highest paying jobs with a statistics degree often include roles such as data scientist, quantitative analyst, or actuarial scientist, with salaries exceeding $100,000 annually. Senior positions in finance, technology, or consulting firms tend to offer the highest compensation, especially for those with advanced skills in machine learning, programming, and statistical modeling.

How much can you make with a PhD in statistics?

A PhD in statistics can lead to high-paying roles such as data scientist, quantitative analyst, or research scientist, with salaries typically ranging from $90,000 to over $150,000 annually depending on experience, industry, and location. Advanced skills in programming, statistical software, and data analysis increase earning potential in this field.

Is getting a PhD in statistics worth it?

A PhD in statistics prepares individuals for advanced research, academia, and data science roles that require deep analytical skills and expertise in statistical methods. It can lead to higher-level positions and increased earning potential but involves significant time and financial investment. The decision depends on career goals and the demand for specialized statistical knowledge in the desired industry.

What can I do with PhD in statistics?

A PhD in statistics qualifies individuals for advanced roles such as data scientist, quantitative analyst, biostatistician, or research scientist. These positions often involve data analysis, modeling, and interpretation using statistical software like R or SAS, and may require collaboration across industries such as healthcare, finance, or technology.
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Phd In Statistics jobs near you
Infographic showing various Phd In Statistics job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution.

Senior Data Scientist - Data Quality & Statistical Methodology

BLN24

Mclean, VA • On-site

Contractor

Medical, Dental, Vision

Posted 14 days ago

Job description

Job Title: Senior Data Scientist - Data Quality & Statistical Methodology
Company: BLN24
About Us: We find strength in teamwork-a better you is a better us
BLN24 is an award-winning Management Consulting Firm that supports the U.S. Federal Government in successfully achieving their mission and goals. Our service and solutions delivery start with understanding each client's end-state, and then seamlessly integrating within each Agency's organization to improve and enhance strategic and technical operations and deployments.
Position Overview:
BLN24 is seeking a Senior Data Scientist with a strong statistical-methodology focus to support a large-scale enterprise data and analytics platform modernization effort. This role sits at the intersection of statistical methodology, data-quality measurement, and large-scale data engineering - designing the metrics and methods that determine whether an organization's core data products can be trusted.
A central challenge is completeness: source data is rarely perfect, and values are routinely missing, partial, or unreliable. The ideal candidate understands how external and secondary data sources can be used to responsibly fill those gaps, and can design defensible, statistically sound quality metrics that measure how well the resulting data reflects reality.
The platform's anticipated foundation involves a modern lakehouse/cloud data architecture handling very large datasets from multiple providers. The successful candidate will help define the quality-metric framework and gap-filling methodology for a generation of stakeholders moving off legacy tools and fragmented, manually validated processes.
Key Responsibilities:
  • Design, define, and validate data-quality metrics for very large datasets - not simply reporting numbers, but establishing what each metric means, how it is calculated, and why it is statistically defensible to leadership
  • Develop and document methodology for filling gaps where source data is missing, partial, or unreliable, using external and secondary reference data, including model-based and imputation approaches
  • Establish benchmarking approaches that compare data products against authoritative historical and modeled reference datasets to detect drift, bias, and anomalies
  • Specify the data the platform must ingest to support quality monitoring, and define the checks that flag when an upstream-produced data product looks wrong
  • Partner with subject matter experts (SMEs) and stakeholders to translate operational and analytical questions into concrete, measurable quality requirements
  • Work with data engineers to ensure metrics and gap-filling logic run reliably at scale on very large, multi-source datasets built on common keys and governed definitions
  • Account for data sensitivity throughout, ensuring appropriate aggregation, access controls, and privacy-preserving techniques are reflected in any metric or derived data product
  • Document methodology and requirements in structured, reusable formats (e.g., requirements matrices and detailed requirement specifications)
  • Iterate across multiple review cycles with SMEs and fellow methodologists, given the program's phased, multi-year rollout
Required Qualifications:
  • 5+ years of applied experience in statistical methodology, data quality, or quantitative research roles
  • Demonstrated experience with missing-data and imputation methods (e.g., model-based imputation, hot-deck, sequential regression) for filling incomplete data
  • Experience designing and validating quantitative metrics for decision-support, including an understanding of bias, variance, and false-positive/false-negative trade-offs
  • Working knowledge of record linkage / entity resolution concepts, sufficient to build sound metrics on top of matched data
  • Experience with very large datasets on distributed-compute platforms (e.g., Spark-based / lakehouse environments) and strong SQL
  • Strong proficiency in Python and R
  • Comfort working with regulated or restricted data and the governance constraints that accompany it
  • Strong communication skills and the ability to explain and defend methodology to leadership and non-technical stakeholders

Preferred Qualifications:
  • Master's or PhD in Statistics, Applied Mathematics, Econometrics, Data Science, or a related quantitative field (a purely software-focused background is not sufficient for the methodology components of this role)
  • Prior experience supporting large-scale enterprise data programs or platform modernization efforts
  • Experience using external or secondary data to supplement or complete primary datasets
  • Familiarity with Databricks and modern lakehouse architectures
  • Exposure to privacy-preserving analytics techniques or working with regulated data
  • Ability to read and reconcile legacy statistical codebases (e.g., SAS) alongside modern Python/R workflows
  • Background in requirements gathering for enterprise data platforms
  • Experience benchmarking estimates against authoritative reference datasets for anomaly or drift detection

Work Environment:
  • Contract position supporting a large-scale enterprise data modernization engagement
  • Collaborative, cross-functional environment working alongside data engineers, architects, and SMEs
  • Currently in the requirements-gathering phase of a multi-year platform build - a strong opportunity to shape long-term quality-metric and methodology standards rather than inherit a fixed framework
  • Must be eligible to work with regulated data and to obtain any background check or clearance required by the client
What BLN24 brings to the Game:
BLN24 benefits are game changing. We like our team to play hard and that means they need to be taken care of - physically, financially, and emotionally. We make sure to keep them in the game by giving them access to generous medical, dental, and vision plans.
  • You can join one of the fastest growing companies headquartered in the Washington DC Metro Area. We give you the opportunity to work in different sectors, so you have the chance at variety while maintaining stability.
  • Flexibility at BLN24 allows each individual the opportunity to balance quality work and their personal lives. Depending on projects, we allow remote working opportunities so you can always be in the game no matter where you call home.
BLN24 is an Equal Opportunity Employer. We believe people are our strength and understand diverse talents are key to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs.

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