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Statistical Data Jobs in Washington, DC (NOW HIRING)

Mathematical, Computational, Statistical * Data Processing: Data management and curation, data description and visualization, workflow and reproducibility * Modeling, Inference, and Prediction: Data ...

Mathematical, Computational, Statistical * Data Processing: Data management and curation, data description and visualization, workflow and reproducibility * Modeling, Inference, and Prediction: Data ...

Data Scientist

Annapolis, MD · On-site

$119K - $285K/yr

Foundations: (Mathematical, Computational, Statistical). * Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility). * Modeling, Inference ...

Data Scientist 2

Annapolis, MD · On-site

$122K - $168K/yr

You will conduct advanced statistical and predictive modeling and large scale data processing using Spark and/or cloud data platforms. You will also provide advanced discovery support using machine ...

Data Scientist 2

Annapolis, MD · On-site

$122K - $168K/yr

You will also conduct advanced statistical and predictive modeling and large-scale data processing. You will be providing advanced discovery support utilizing machine learning, analytical prototyping ...

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

Foundations: (Mathematical, Computational, Statistical). * Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility). * Modeling, Inference ...

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

Foundations: (Mathematical, Computational, Statistical). * Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility). * Modeling, Inference ...

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

Foundations: (Mathematical, Computational, Statistical). * Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility). * Modeling, Inference ...

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

Foundations: (Mathematical, Computational, Statistical). * Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility). * Modeling, Inference ...

Data Scientist 4

Annapolis, MD · On-site

$212K - $267K/yr

Foundations: (Mathematical, Computational, Statistical). * Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility). * Modeling, Inference ...

Showing results 21-40

Statistical Data information

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

To thrive as a Statistical Data Analyst, you need strong quantitative skills, expertise in statistics, and a relevant degree such as mathematics, statistics, or data science. Proficiency with tools like R, Python, SQL, and statistical software (e.g., SPSS, SAS) as well as data visualization platforms is typically required. Critical thinking, attention to detail, and effective communication skills help analysts interpret data accurately and share insights with stakeholders. These competencies ensure reliable data analysis, support evidence-based decisions, and drive organizational success.

What are some common challenges faced by professionals working in statistical data roles, and how can they be addressed?

Professionals in statistical data roles often encounter challenges such as managing large, complex datasets, ensuring data quality, and effectively communicating statistical findings to non-technical stakeholders. Dealing with incomplete or inconsistent data is common, and requires strong analytical and problem-solving skills to clean and validate information. Collaborating closely with cross-functional teams, staying updated on the latest statistical software, and developing clear data visualization skills can help address these challenges and enhance the impact of your work.

What is the difference between Statistical Data vs Data Analyst?

AspectStatistical DataData Analyst
Required CredentialsNone specific; often involves understanding data collectionBachelor's degree in statistics, data science, or related field
Work EnvironmentData collection, storage, and management environmentsAnalyzing data, creating reports, and visualizations
Industry UsageUsed across industries for data collection and storageApplied in business, finance, healthcare, and more for insights
Search & Comparison IntentUnderstanding raw data types and sourcesComparing roles focused on data analysis and interpretation

Statistical Data refers to raw or processed data used for analysis, while Data Analyst is a professional role that interprets and visualizes this data to support decision-making. Both are integral to data-driven industries but serve different functions within the data lifecycle.

What is a statistical data analyst?

Statistical data analysts are professionals who collect, process, and interpret quantitative data to help organizations make informed decisions. They use statistical techniques and software tools to analyze datasets, identify trends, and solve problems. Their work is crucial in fields such as business, healthcare, government, and research, where data-driven insights are essential. Statistical data analysts often present their findings in reports or visualizations to guide strategic planning.
What are popular job titles related to Statistical Data jobs in Washington, DC? For Statistical Data jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Statistical Data jobs in Washington, DC look for? The top searched job categories for Statistical Data jobs in Washington, DC are:

Data Scientist

Themis Insight

Fort George G Meade, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago


Job description

Themis Insight solves difficult business, IT, and analytic problems by addressing the whole problem - not just the symptoms - using interdisciplinary approaches that are both practical and innovative. We provide fresh alternatives to ordinary, mainstream consulting firms through small, highly skilled, and hand-picked teams that can meet clients' needs in any industry. Our broad interdisciplinary understanding allows us to provide the right solution, even if it is from outside the industry or traditionally defined problem space. We bring Public and Private, Civilian and Military expertise to every case.
We are hiring a Data Scientist to work in the Fort Meade, MD vicinity. Position location is subject to change based on central MD client's needs.
Required: TS/SCI with a Polygraph
Employ some combination (2 or more) of the following skill areas:
  1. Foundations: Mathematical, Computational, Statistical
  2. Data Processing: Data management and curation, data description and visualization, workflow and reproducibility
  3. Modeling, Inference, and Prediction: Data modeling and assessment, domain-specific considerations

Devise strategies for extracting meaning and value from large datasets. Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis, programming, and/or another appropriate scientific method, develop and implement qualitative and quantitative methods for characterizing, exploring, and assessing large datasets in various states of organization, cleanliness, and structure that account for the unique features and limitations inherent in NSA/CSS data holdings. Translate practical mission needs and analytic questions related to large datasets into technical requirements and, conversely, assist others with drawing appropriate conclusions from the analysis of such data. Effectively communicate complex technical information to non-technical audiences. Make informed recommendations regarding competing technical solutions by maintaining awareness of the constantly-shifting NSA/CSS collection, processing, storage and analytic capabilities and limitations.
Individual Capabilities/Experience Required:
  • A Bachelor's degree and 3 years of relevant experience. An Associate's degree plus 5 years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
  • Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine Learning, Data Science, Operations Research, or Computer Science. A degree in a related field (e.g., Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, social, and life) may be considered if it includes a concentration of coursework (typically 5 or more courses) in advanced mathematics (typically 300 level or higher; such as linear algebra, probability and statistics, machine learning) and/or computer science (e.g., algorithms, programming, data structures, data mining, artificial intelligence). College-level Algebra or other math courses designated as elementary or basic do not count.
  • Note: A broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university.
  • Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming (skill in at least one high-level language (e.g. Python) and skill in at least one mid-level language (e.g. C)), data mining, advanced statistical analysis (e.g. statistical foundations of machine learning, statistical approaches to missing data, time series), advanced mathematical foundations (e.g. numerical methods, graph theory), artificial intelligence, workflow and reproducibility, data management and curation, data modeling and assessment (e.g. model selection, evaluation, and sensitivity analysis), experience as a data scientist working to support a single or multiple domain areas, and/or software engineering. Experience in more than three areas is strongly preferred.

Themis Insight has all the PERKS!
You are our most valuable resource - your ambition, your knowledge, your creativity. We offer an industry-leading set of benefits to supplement your normal salary compensation. Themis Insight has you covered with flexible ways to balance work and home life, full health benefit premium coverage, and generous contributions toward your retirement.
  • Competitive health, dental, and vision plans with 100% paid premiums.
  • 401k: We contribute 6% even if you don't!
  • Time Off: 11 standard holidays, and 25 days of PTO
  • Career Development: Get career counseling and individualized career development plans, including education and training.
  • Employee referral bonuses for successful hires

Themis Insight is an Equal Opportunity/Affirmative Action employer.
Themis Insight provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.