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Data Scientist 3

United States, Central Maryland 161000.00 - 211000.00 USD / Year · Job Posted March 04, 2026
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Job Description

Join us on this journey as we execute this mission-critical contract providing high-end analytics and data science services within the REALM of cybersecurity. Your effort and expertise are crucial to the success and execution of this impactful mission. This opportunity supports a team of Data Scientists, Cryptologic Computer Scientists, Cryptanalytic Computer Scientists, Cryptologic Cyber Planners, Intrusion Analysts, Protocol Analysts, Signals Analysts and Reverse Engineers, responsible for improving, protecting, and defending our Nation’s Security.

Job Responsibility

  • Complete data transformation and modeling using SQL and Python
  • Design scalable ETL workflows, implementing incremental and batch data ingestion with robust data validation
  • Preprocess, minimize, filter, normalize, aggregate, and reshape datasets for reporting
  • Maintain Python automation packages to be utilized by DOD personnel
  • Make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge
  • Use 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
  • 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

Requirements

  • Bachelor’s Degree with 10 years of relevant experience
  • Associate’s degree with 12 years of experience may be considered
  • Bachelor’s Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field
  • Relevant experience must be in designing/implementing machine learning, data science, advanced analytical algorithms, programming
  • Experience designing ETL workflows
  • Experience with SQL and Python (Pandas, PySpark, or Polars preferred)
  • Position requires active Security Clearance with appropriate Polygraph

Nice to have

  • Experience automating dashboards using PowerBI or Tableau is a plus
  • Broader range of degrees will be considered if accompanied by a Certificate in Data Science from an accredited college/university

What we offer

  • Medical: Three (3) rich healthcare options through CareFirst with 100% or majority company-paid premiums
  • Tax-advantaged health savings account available with generous employer contribution
  • Dental + Vision: 100% employer-paid for employees and family
  • 401K – 10% TOTAL CONTRIBUTION – 5% safe harbor – 5% annual profit share (both immediately vested!)
  • 4 weeks starting PTO – 11 federal holidays + 2 floating holidays – Paid hours for company-required training
  • Access to FREE 24/7 learning via Udemy
  • Opportunities to participate in tech councils, industry initiatives, etc.
  • $7,500 annual Educational & Professional Development Assistance
  • Paid parental leave
  • Annual swag drops
  • Flexible work schedules
  • Generous referral bonus program
  • Employee appreciation + family-friendly corporate events
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Data Scientist 3

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Data Scientist 3

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Location
United States
Salary
Salary:
161000.00 - 211000.00 USD / Year
realmone.com Logo
RealmOne
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree with 10 years of relevant experience, associate's degree with 12 years of experience may be considered for individuals with in-depth experience that is clearly related to the position
  • Bachelor's Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (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 requirement, or upper-level math courses designated as elementary or basic do not count
  • 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), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering
  • Position requires active Security Clearance with appropriate Polygraph
Job Responsibility
Job Responsibility
  • Ability to make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge
  • Ability to use 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 feature and limitations inherent in Government 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
What we offer
What we offer
  • Healthcare Coverage + Insurance: Medical: Three (3) rich healthcare options through CareFirst with 100% or majority company-paid premiums. Tax-advantaged health savings account available with generous employer contribution. Dental + Vision: 100% employer-paid for employees and family, with a buy-up option available
  • Retirement + Savings: 401K – 10% TOTAL CONTRIBUTION – 5% safe harbor – 5% annual profit share (both immediately vested!)
  • Paid Time Off + More: 4 weeks starting PTO – 11 federal holidays + 2 floating holidays – Paid hours for company-required training
  • Career Growth + Development: Access to FREE 24/7 learning via Udemy – Opportunities to participate in tech councils, industry initiatives, etc. – $7,500 annual Educational & Professional Development Assistance
  • MORE BENEFITS…FOR EVERY LIFESTYLE! – Paid parental leave – Annual swag drops – Flexible work schedules -Generous referral bonus program – Employee appreciation + family-friendly corporate events …and much more
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Data Scientist 3

We are seeking a Data Scientist proficient in Python and Jupyter Notebook to sup...
Location
Location
United States , Central Maryland
Salary
Salary:
161000.00 - 211000.00 USD / Year
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Expiration Date
Until further notice
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Requirements
Requirements
  • Bachelor’s Degree with 10 years of relevant experience, associate’s degree with 12 years of experience may be considered for individuals with in-depth experience that is clearly related to the position
  • Bachelor’s Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (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 requirement, or upper-level math courses designated as elementary or basic do not count
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  • Position requires active Security Clearance with appropriate Polygraph
  • Proficiency in Python and Jupyter Notebook
Job Responsibility
Job Responsibility
  • Help to accurately and automatically tokenize language data with spoken or written origins
  • Develop automated solutions for the annotation of language data with parts of speech information
  • Improve existing models by scoring performance against human-generated annotations for speech and text
  • Use 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 feature and limitations inherent in Government 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
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  • Healthcare Coverage + Insurance: Medical: Three (3) rich healthcare options through CareFirst with 100% or majority company-paid premiums. Tax-advantaged health savings account available with generous employer contribution. Dental + Vision: 100% employer-paid for employees and family, with a buy-up option available
  • Retirement + Savings: 401K – 10% TOTAL CONTRIBUTION – 5% safe harbor – 5% annual profit share (both immediately vested!)
  • Paid Time Off + More: 4 weeks starting PTO – 11 federal holidays + 2 floating holidays – Paid hours for company-required training
  • Career Growth + Development: Access to FREE 24/7 learning via Udemy – Opportunities to participate in tech councils, industry initiatives, etc. – $7,500 annual Educational & Professional Development Assistance
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Join us on this journey as we execute this mission-critical contract providing h...
Location
Location
United States , Central Maryland
Salary
Salary:
161000.00 - 211000.00 USD / Year
realmone.com Logo
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Expiration Date
Until further notice
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Requirements
Requirements
  • Bachelor’s Degree with 10 years of relevant experience
  • Associate’s degree with 12 years of experience may be considered for individuals with in-depth experience clearly related to the position
  • Degree must be in Mathematics, Applied Mathematics, Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science
  • Or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (5 or more courses) in advanced Mathematics and/or computer science
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  • 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)), statistical analysis, data management, data mining, data modeling and assessment, artificial intelligence, and/or software engineering
  • Proficiency with Jupyter Notebooks using Python is required
  • Position requires active Security Clearance with appropriate Polygraph
Job Responsibility
Job Responsibility
  • Support a specific program line tied to AI/ML
  • Make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge
  • Use 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
  • 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
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  • Medical: Three (3) rich healthcare options through CareFirst with 100% or majority company-paid premiums
  • Tax-advantaged health savings account available with generous employer contribution
  • Dental + Vision: 100% employer-paid for employees and family, with a buy-up option available
  • 401K – 10% TOTAL CONTRIBUTION – 5% safe harbor – 5% annual profit share (both immediately vested!)
  • 4 weeks starting PTO
  • 11 federal holidays + 2 floating holidays
  • Paid hours for company-required training
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We are seeking a Data Scientist to train and develop NLP/NER for LLM solutions w...
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Salary
Salary:
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Expiration Date
Until further notice
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Requirements
Requirements
  • Bachelor’s Degree with 10 years of relevant experience
  • Associate’s Degree with 12 years of relevant experience
  • Bachelor’s Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (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)
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  • 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)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering
  • Position requires active Security Clearance with appropriate Polygraph
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  • Data Processing: (Data management and curation, data description and visualization, workflow and reproducibility)
  • Modeling, Inference, and Prediction: (Data modeling and assessment, domain-specific considerations)
  • Ability to make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge
Job Responsibility
Job Responsibility
  • Train and develop NLP/NER for LLM solutions within an agentic AI framework (LangGraph)
  • Perform supervised and unsupervised model training and validation for automated knowledge extraction from unstructured natural language data in multiple languages without a predefined ontology
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What we offer
What we offer
  • Healthcare Coverage + Insurance: Medical: Three (3) rich healthcare options through CareFirst with 100% or majority company-paid premiums
  • Tax-advantaged health savings account available with generous employer contribution
  • Dental + Vision: 100% employer-paid for employees and family, with a buy-up option available
  • Retirement + Savings: 401K – 10% TOTAL CONTRIBUTION – 5% safe harbor – 5% annual profit share (both immediately vested!)
  • Paid Time Off + More: 4 weeks starting PTO – 11 federal holidays + 2 floating holidays – Paid hours for company-required training
  • Career Growth + Development: Access to FREE 24/7 learning via Udemy – Opportunities to participate in tech councils, industry initiatives, etc. – $7,500 annual Educational & Professional Development Assistance
  • Paid parental leave
  • Annual swag drops
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Data Scientist 3

We are seeking a Data Scientist to provide advanced discovery support utilizing ...
Location
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United States , Central Maryland
Salary
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Expiration Date
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Requirements
Requirements
  • Bachelor’s Degree with 10 years of relevant experience
  • Associate’s Degree with 12 years of relevant experience
  • Bachelor’s Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (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)
  • 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)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering
  • Position requires active Security Clearance with appropriate Polygraph
Job Responsibility
Job Responsibility
  • Provide advanced discovery support utilizing machine learning, analytical prototyping, scripting, automation, digital visualization, statistical analysis, and TechSIGINT tools
  • Be adaptable to new tools and technologies
  • Make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge
  • Use 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 feature and limitations inherent in Customer 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
What we offer
What we offer
  • Medical: Three (3) rich healthcare options through CareFirst with 100% or majority company-paid premiums
  • Tax-advantaged health savings account available with generous employer contribution
  • Dental + Vision: 100% employer-paid for employees and family, with a buy-up option available
  • 401K – 10% TOTAL CONTRIBUTION – 5% safe harbor – 5% annual profit share (both immediately vested!)
  • 4 weeks starting PTO – 11 federal holidays + 2 floating holidays – Paid hours for company-required training
  • Access to FREE 24/7 learning via Udemy
  • Opportunities to participate in tech councils, industry initiatives, etc.
  • $7,500 annual Educational & Professional Development Assistance
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  • Annual swag drops
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Arrow Right

Data Scientist 3

We are seeking a Data Scientist to provide advanced discovery support utilizing ...
Location
Location
United States , Central Maryland
Salary
Salary:
161000.00 - 211000.00 USD / Year
realmone.com Logo
RealmOne
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s Degree with 10 years of relevant experience
  • Associate’s Degree with 12 years of relevant experience
  • Bachelor’s Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (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)
  • 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)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering
  • Position requires active Security Clearance with appropriate Polygraph
Job Responsibility
Job Responsibility
  • Provide advanced discovery support utilizing machine learning, analytical prototyping, scripting, automation, digital visualization, statistical analysis, and TechSIGINT tools
  • Be adaptable to new tools and technologies
  • Ability to make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge
  • Ability to use 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 feature and limitations inherent in Customer 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
What we offer
What we offer
  • Medical: Three (3) rich healthcare options through CareFirst with 100% or majority company-paid premiums
  • Tax-advantaged health savings account available with generous employer contribution
  • Dental + Vision: 100% employer-paid for employees and family, with a buy-up option available
  • 401K – 10% TOTAL CONTRIBUTION – 5% safe harbor – 5% annual profit share (both immediately vested!)
  • 4 weeks starting PTO – 11 federal holidays + 2 floating holidays – Paid hours for company-required training
  • Access to FREE 24/7 learning via Udemy
  • Opportunities to participate in tech councils, industry initiatives, etc.
  • $7,500 annual Educational & Professional Development Assistance
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Data Scientist 3

The Supply Chain Data Scientist is a key contributor to the team developing deci...
Location
Location
India , Chennai
Salary
Salary:
Not provided
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Comcast Advertising
Expiration Date
Until further notice
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Requirements
Requirements
  • 5+ years of advanced Supply Chain Data Science experience, ideally within Telecom, CPG, or retail replenishment
  • Master’s degree in operations research, Statistics, Supply Chain, Engineering, Computer Science, or related discipline
  • Strong experience in Supply Chain Network Optimization and Inventory Optimization, including mathematical modeling and scenario evaluation
  • Proficiency with optimization tools such as Gurobi, AMPL, or similar solvers/modeling frameworks
  • Experience with BI/reporting tools such as Tableau, Power BI, or QlikView
  • Proven ability to apply data science and optimization techniques to deliver measurable business impact
  • Exceptional communication and collaboration skills, able to partner effectively with technical and business teams
  • Experience in consumer goods or retail environments leveraging advanced modeling to drive operational outcomes
  • Flexibility to collaborate with US based teams and support critical work aligned to U.S. time zones
  • Knowledge of demand planning, forecasting processes, and related metrics (forecast accuracy, bias, demand attainment) is a plus
Job Responsibility
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  • Design and optimize Linear Programming, Mixed‑Integer Programming, and Simulation models for Supply Chain network, capacity, and inventory decisions
  • Develop and evaluate advanced optimization and OR techniques to solve complex business problems
  • Perform data wrangling, programming, and statistical analysis to support optimization and ML initiatives
  • Build and validate ML models that enhance forecasting, classification, and decision‑making
  • Create training materials and documentation to help teams apply optimization and analytics tools
  • Monitor Supply Chain KPIs to identify opportunities to refine optimization and statistical models
What we offer
What we offer
  • Paid Time off
  • Physical Wellbeing benefits
  • Financial Wellbeing benefits
  • Emotional Wellbeing benefits
  • Life Events + Family Support benefits
  • Fulltime
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Data Scientist 3

We are seeking a Data Scientist with a strong background in Python for automatio...
Location
Location
United States , Central Maryland
Salary
Salary:
161000.00 - 211000.00 USD / Year
realmone.com Logo
RealmOne
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s Degree with 10 years of relevant experience, associate’s degree with 12 years of experience may be considered for individuals with in-depth experience that is clearly related to the position
  • Bachelor’s Degree must be in Mathematics, Applied Mathematics Statistics, Applied Statistics, Machine learning, Data Science, Operations Research, or Computer Science or a degree in a related field (Computer Information Systems, Engineering), a degree in the physical/hard sciences (e.g. physics, chemistry, biology, astronomy), or other science disciplines with a substantial computational component (i.e. behavioral, social, or life) may be considered if it included a concentration of coursework (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)
  • 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 on high level language (e.g. Python)), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data mining, data modeling and assessment, artificial intelligence, and/or software engineering
  • Experience with Python, SharePoint, and dataflows
  • Position requires active Security Clearance with appropriate Polygraph
Job Responsibility
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  • Building out a framework to examine existing vulnerability policies and improve them
  • Ability to make and communicate principal conclusions from data using elements of mathematics, statistics, computer science, and applications-specific knowledge
  • Ability to use 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 feature and limitations inherent in Government 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
What we offer
What we offer
  • Healthcare Coverage + Insurance: Medical: Three (3) rich healthcare options through CareFirst with 100% or majority company-paid premiums
  • Tax-advantaged health savings account available with generous employer contribution
  • Dental + Vision: 100% employer-paid for employees and family, with a buy-up option available
  • Retirement + Savings: 401K – 10% TOTAL CONTRIBUTION – 5% safe harbor – 5% annual profit share (both immediately vested!)
  • Paid Time Off + More: 4 weeks starting PTO – 11 federal holidays + 2 floating holidays – Paid hours for company-required training
  • Career Growth + Development: Access to FREE 24/7 learning via Udemy – Opportunities to participate in tech councils, industry initiatives, etc. – $7,500 annual Educational & Professional Development Assistance
  • Paid parental leave
  • Annual swag drops
  • Flexible work schedules
  • Generous referral bonus program
  • Fulltime
Read More
Arrow Right