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Trainee Computer Data Scientist Jobs in Washington

Themis Insight

Data Scientist

Fort George G Meade, MD · On-site

Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis ...

New

Elder Research

Data Scientist

Arlington, VA

Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences * 2-10+ years of experience in data ...

Themis Insight

Data Scientist

Fort George G Meade, MD

Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis ...

New

Power3 Solutions

Data Scientist

Fort George G Meade, MD · On-site

Make and communicate principled conclusions from data using elements of mathematics, statistics, computer science, and application specific knowledge. Through analytic modeling, statistical analysis ...

New

GRVTY

Data Scientist

Chantilly, VA · On-site

Active TS/SCI with Polygraph Clearance (applicable to this customer) * 3-5 years of relevant experience as a Data Scientist, with a STEM degree (field such as computer science, statistics, data ...

New

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

PotomacWave Consulting

Data Scientist

Washington, DC · On-site

$125K - $155K/yr

A bachelor's degree in the following is required: data science, computer science, information science, mathematics, or statistics. A master's degree is preferred. * A professional certification in ...

Thomson Reuters

Data Scientist

Mclean, VA · On-site

Bachelor's or Master's Degree in a technical field (e.g., data science, statistics, computer science, mathematics, engineering, physical/biological sciences, or geographic information systems (GIS ...

Thomson Reuters

Data Scientist

Mclean, VA · On-site

Bachelor's or Master's Degree in a technical field (e.g., data science, statistics, computer science, mathematics, physical/biological sciences, or geographic information systems (GIS), etc.). * At ...

THOMSON REUTERS

Data Scientist

Mclean, VA · Hybrid

Bachelor's or Master's Degree in a technical field (e.g., data science, statistics, computer science, mathematics, physical/biological sciences, or geographic information systems (GIS), etc.). * At ...

Vantor

Data Scientist

Reston, VA · On-site

Preferred : • Master's degree in data science, computer science, statistics, engineering, or a related technical field. • Experience with cloud-based environments (e.g., AWS, Azure, or GCP) and ...

PotomacWave

Data Scientist

Washington, DC · On-site

A bachelor's degree in the following is required: data science, computer science, information science, mathematics, or statistics. A master's degree is preferred. * A professional certification in ...

Closure Technologies

Data Scientist

Chantilly, VA

As a Data Scientist, you will focus on using advanced techniques to solve the Sponsor's most ... TS/SCI clearance with a polygraph Bachelor's degree in Computer Science Desired Skills * Experience ...

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Trainee Computer Data Scientist information

What is the difference between Trainee Computer Data Scientist vs Data Analyst?

AspectTrainee Computer Data ScientistData Analyst
Required CredentialsBasic programming, statistics, entry-level data science coursesData analysis, Excel, SQL, basic statistics
Work EnvironmentLearning-focused, entry-level projects, collaborative teamsData reporting, visualization, business insights
Industry UsageGrowing in tech, finance, healthcare sectorsWidespread across industries for business decision support

The Trainee Computer Data Scientist is an entry-level role focused on developing skills in data science, programming, and machine learning, often in a learning environment. In contrast, a Data Analyst primarily handles data reporting, visualization, and basic analysis to support business decisions. While both roles require some knowledge of statistics and data tools, the Data Scientist role emphasizes advanced data modeling and programming, whereas the Data Analyst role centers on interpreting data for insights.

What are the most commonly searched types of Computer Data Scientist jobs in Washington? The most popular types of Computer Data Scientist jobs in Washington are:
Trainee Computer Data Scientist jobs near you
Data Scientist

Data Scientist

Themis Insight

Fort George G Meade, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

New

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.

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