CrawlJobs Logo

Data Scientist 4

realmone.com Logo

RealmOne

Location Icon

Location:
United States , Central Maryland

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

212000.00 - 267000.00 USD / Year

Job Description:

We are seeking a Data Scientist who is an established AI expert with some network and technology discovery domain knowledge. 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:

  • 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

Requirements:

  • Bachelor’s Degree with 15 years of relevant experience
  • Associate’s degree with 17 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 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
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
  • Employee appreciation + family-friendly corporate events

Additional Information:

Job Posted:
April 16, 2026

Employment Type:
Fulltime
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Data Scientist 4

Senior Data Scientist – Audience Data Product

We are looking for a Senior Data Scientist – Audience Data Product to join our G...
Location
Location
United States , Bethesda, MD
Salary
Salary:
52.06 - 82.45 USD / Hour
https://www.marriott.com Logo
Marriott Bonvoy
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4-year degree from an accredited university in Data Analytics, Computer Science, Engineering, Information Systems, or a similar quantitative discipline, with 4+ years of experience demonstrating progressive career growth and a history of exceptional performance in data science or analytics OR 2+ years of experience in data science or analytics with a Master's degree
  • Proven experience in building and optimizing audience segmentation and lookalike models for targeted advertising using data science techniques, including clustering, classification, and predictive modeling
  • Strong experience with writing AI/ML models in Python, Spark or SQL, and familiarity with cloud data warehouses (e.g., Snowflake, AWS) for data processing and model deployment
  • Demonstrated ability to use data science methodologies (e.g., machine learning, statistical modeling) to analyze and optimize large-scale datasets for audience targeting
  • Ability to collaborate cross-functionally with marketing, digital, and technology teams to align on broader data strategies and contribute insights to media optimization and performance measurement
Job Responsibility
Job Responsibility
  • Design and develop audience segmentation and various lookalike models to optimize targeting across owned & paid channels
  • Work with cross-functional teams to collect, analyze, and optimize media exposure data for continuous media optimization and audience measurement
  • Collaborate closely with teams from marketing, digital, and technology to evolve the media data ecosystem, leveraging advanced tools such as cloud data warehouses (Snowflake), data cleanrooms, and customer data platforms (CDPs)
  • Develop and implement segmentation and modeling strategies
  • Collaborate with marketing and analytics teams to design and build segmentation models and lookalike models for optimized targeting across paid media channels
  • Work with the AdTech and IT teams to ensure effective integration and deployment of data infrastructure that supports segmentation and audience activation efforts
  • Align segmentation models and tactics with the broader organizational data strategy to ensure consistency with long-term business goals and objectives
  • Collaborate closely with marketing and analytics teams to define key performance indicators (KPIs) and data requirements for optimizing segmentation strategies, improving campaign targeting, and driving ROI
  • Collaborate with technical teams and vendors (e.g., AWS, Snowflake) to build and enhance infrastructure that supports data-driven segmentation, model development, and performance measurement
  • Identify and work on improving processes that enhance data quality and reduce manual interventions in segmentation model development and activation workflows
What we offer
What we offer
  • Coverage for medical, dental, vision, health care flexible spending account, dependent care flexible spending account, life insurance, disability insurance, accident insurance, adoption expense reimbursements, paid parental leave, 401(k) plan, stock purchase plan, discounts at Marriott properties, commuter benefits, employee assistance plan, and childcare discounts
  • Fulltime
Read More
Arrow Right

Data Scientist

Figma is growing our team of passionate creatives and builders on a mission to m...
Location
Location
United States , San Francisco; New York
Salary
Salary:
136000.00 - 338000.00 USD / Year
figma.com Logo
Figma
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4+ years of experience in Analytics, Data Science, or a related field
  • Fluency in SQL and proficiency in a scripting language like Python or R
  • Experience with distributed data systems (e.g., Redshift, Snowflake, Presto, Hive, Spark)
  • Strong foundation in statistical methods, experimentation, and/or forecasting
  • A track record of working cross-functionally and communicating effectively with both technical and non-technical partners
  • Experience supporting one or more of the following: Product, Marketing, Finance, or internal Platform/Tooling teams
Job Responsibility
Job Responsibility
  • Collaborate across teams to define and measure key metrics, design experiments, and uncover insights that inform strategic decisions
  • Build models and analytical frameworks to support product, marketing, platform, or finance initiatives
  • Develop tools, datasets, and systems that enable others to work with data more efficiently and rigorously
  • Own complex data projects end-to-end—from problem scoping to solution delivery
  • Champion data quality, accessibility, and the democratization of data across the organization
  • Partner with Product, Engineering, Design, Research, Sales, Marketing, or Finance to drive impact
What we offer
What we offer
  • equity
  • health, dental & vision
  • retirement with company contribution
  • parental leave & reproductive or family planning support
  • mental health & wellness benefits
  • generous PTO
  • company recharge days
  • a learning & development stipend
  • a work from home stipend
  • cell phone reimbursement
  • Fulltime
Read More
Arrow Right

Senior Data Scientist

At Zenjob, you’ll work on data products that actually ship and shape how thousan...
Location
Location
Germany , Berlin
Salary
Salary:
Not provided
foodlabs.com Logo
FoodLabs & Atlantic Labs
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4+ years of applied Data Science experience, ideally in marketplaces or other matching-heavy environments
  • A curious, proactive, impact-driven mindset with strong business acumen
  • Enjoy working in environments where things move fast, priorities evolve, and iteration happens quickly
  • Solid ML expertise in scoring, ranking, and optimization techniques used in matching and allocation systems
  • Experience building forecasting models using time-series and probabilistic approaches
  • Strong experimentation skills, including A/B testing and quasi-experimental methods, with the ability to interpret results clearly
  • Proficiency in SQL and Python with the ability to move from exploration to production
  • Clear communication and strong product thinking, able to influence decisions and define success metrics
Job Responsibility
Job Responsibility
  • Shape product decisions: Data should guide decisions from the start. You will proactively explore our data to identify product opportunities, inefficiencies, and growth levers. You’ll translate complex findings into actionable insights that help PMs and business leaders prioritize what truly matters
  • Forecast marketplace dynamics: Strong forecasting prevents shortages and overbooking. You will model supply and demand patterns using robust time-series and probabilistic methods that support planning and operational decisions
  • Improve matching efficiency: Better matching means higher fill rates, happier customers, and less manual work. You will build and refine ranking and allocation models so the right talent reaches the right job quickly and reliably, whether through ML or other data-driven methods
  • Experiment with confidence: Good experiments beat guesses. You will design and run end-to-end experiments using methods suited for a two-sided marketplace (A/B, quasi-experimental approaches, switchbacks, holdouts) and interpret results with clarity
  • Ship models that matter: Models only matter when users benefit from them. You will own the process of turning analyses or models into production, working with engineering on monitoring, fallback strategies, and safe rollouts
What we offer
What we offer
  • 28 days of paid vacation (increased by 1 day for every 2 calendar years of service with us, up to a maximum of 30 days)
  • 1 day of special leave for community service
  • 5 days of paid educational leave
  • Possibility of unpaid leave
  • Hybrid working model
  • Dog-friendly office
  • Annual training budget of EUR 750
  • Mentoring opportunities
  • Constant career development conversations
  • 30 EUR Urban Sports Club grant per month
Read More
Arrow Right

Product Data Scientist

This is a unique opportunity to join one of the most exciting Series-A AI compan...
Location
Location
United States
Salary
Salary:
210000.00 - 260000.00 USD / Year
weareorbis.com Logo
Orbis Consultants
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4+ years in a product analytics or data science role within a high-growth tech company
  • strong with SQL and Python (or R)
  • experience designing experiments, building metrics from scratch, and influencing product direction
  • excited by working in AI-powered products, consumer experiences, or commerce tech
Job Responsibility
Job Responsibility
  • Partner closely with product and engineering to shape the roadmap through data
  • Design and analyze A/B and multivariate tests that guide product and UX decisions
  • Build and maintain the core metrics, dashboards, and experimentation frameworks that define success
  • Surface actionable insights from behavioral data and help translate numbers into strategy
What we offer
What we offer
  • meaningful equity
  • Fulltime
Read More
Arrow Right

Product Data Scientist

This is a unique opportunity to join one of the most exciting Series-A AI compan...
Location
Location
United States
Salary
Salary:
210000.00 - 260000.00 USD / Year
weareorbis.com Logo
Orbis Consultants
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 4+ years in a product analytics or data science role within a high-growth tech company
  • strong with SQL and Python (or R)
  • experience designing experiments, building metrics from scratch, and influencing product direction
  • excited by working in AI-powered products, consumer experiences, or commerce tech
Job Responsibility
Job Responsibility
  • Partner closely with product and engineering to shape the roadmap through data
  • Design and analyze A/B and multivariate tests that guide product and UX decisions
  • Build and maintain the core metrics, dashboards, and experimentation frameworks that define success
  • Surface actionable insights from behavioral data and help translate numbers into strategy
What we offer
What we offer
  • meaningful equity
  • Fulltime
Read More
Arrow Right

Principal Data Scientist

T-Mobile’s Strategy and Corporate Development (S&CD) team is looking for a Princ...
Location
Location
United States , Bellevue; Overland Park
Salary
Salary:
127400.00 - 229800.00 USD / Year
https://www.t-mobile.com Logo
T-Mobile
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Quantitative Discipline (math, statistics, economics, computer science, physics, engineering)
  • Master's/Advanced Degree Quantitative Discipline (math, statistics, economics, computer science, physics, engineering)
  • 7-10 years of industry experience in predictive modeling, data science, and analysis in an ML engineer or data scientist role building and deploying ML models or hands on experience developing deep learning models
  • 7-10 years of Experience articulating and translating business questions and using statistical techniques to arrive at an answer using available data
  • 7-10 years of Experience with data scripting languages (e.g., SQL, Python, R) and Extended experience working with relational database using SQL
  • 4-7 years of Experience writing and speaking about technical concepts to business, technical, and lay audiences and giving data-driven presentations
  • 4-7 years of Experience with statistical methods and advanced modeling techniques. For example- SVM, Random Forest, graph models, Bayesian inference, NLP, Computer Vision, neural networks
  • 4-7 years of Experience with big data architecture and pipeline, Hadoop, Hive, Spark, Kafka, etc
  • 4-7 years of Experience in data visualization
  • 2-4 years Management consulting, investment banking, or corporate strategy
Job Responsibility
Job Responsibility
  • Extract, prepare, and model large, complex data sets using a combination of skills, including machine learning theory, mathematics, statistics, and programming
  • Identify critical and emerging technologies that will support and extend our consumer data, data integration, and quantitative analytic capabilities
  • Lead the implementation, assessment and standardization of advanced analytics and modeling toolkits for our data science team
  • Partner with data engineering teams to shape data management strategies, architecture, governance, pipelines, and infrastructure enabling effective modeling environments for data science teams
  • Provide senior level guidance to the data science and measurement science teams on approach and methodologies
  • Communicate important information and insights to business leaders using verbal, written, and data visualization skills
What we offer
What we offer
  • competitive base salary and compensation package
  • annual stock grant
  • employee stock purchase plan
  • 401(k)
  • access to free, year-round money coaches
  • medical, dental and vision insurance
  • flexible spending account
  • employee stock grants
  • paid time off
  • up to 12 paid holidays
  • Fulltime
Read More
Arrow Right

Lead Data Scientist

Prism is seeking a Lead Data Scientist who will make high-impact, hands-on contr...
Location
Location
United States , NYC or San Diego (La Jolla/UTC)
Salary
Salary:
140000.00 - 160000.00 USD / Year
prismdata.com Logo
Prism Data
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Statistics, Data Science, Math, Industrial Engineering, or similar quantitative discipline required
  • 4+ years of experience as a Data Scientist or Statistician, preferably in credit risk or financial services
  • Research & development of new attributes, models, decision strategies, and/or analytic capabilities
  • Customer-facing testing of data or analytic solutions (e.g., credit risk scores, alternative data, fraud prevention, etc.)
  • Collaboration with business teams to understand and address business problems
  • Modeling experience in the latest AI and machine learning approaches
  • Mastery of rudimentary modeling approaches (e.g., regression, decision trees)
  • Knowledge of data labeling/categorization, feature development and selection, model design and training, testing, coding, implementation, monitoring, and governance
  • Financial services industry data expertise, including types of data sources applicable to different types of business decisions based on regulatory factors
  • Experience evaluating alternative statistical approaches, including review of academic papers on new techniques and ideas, and justifying which approach is best suited for which problems and why
Job Responsibility
Job Responsibility
  • Maintain and advance existing analytical product suite
  • Enhance core cash flow underwriting offerings as new data elements become available
  • Develop next-generation versions of products to boost stability, predictive accuracy, and relevancy to emerging use cases
  • Develop new products for new market opportunities using novel data assets
  • Demonstrate best practices in transparent modeling approaches to enable easy client adoption
  • Support sales, revenue attainment, and thought leadership
  • Conduct proof of concept analyses of the efficacy of Prism products in the context of clients’ business problems, and present results and insights
  • Support new and existing clients by guiding them on score cutoffs and the use of powerful custom attribute sets for their business
  • Educate clients on technical product knowledge
  • Contribute analysis to thought leadership content delivered by Prism executives in white papers and industry conferences
What we offer
What we offer
  • medical
  • dental
  • vision
  • 401(k)
  • equity-based compensation
  • Fulltime
Read More
Arrow Right

Senior Data Scientist NLP/GenAI - Catalog

You’ll join our Data Science team, where your main mission will be to prototype,...
Location
Location
France , Paris; Bordeaux
Salary
Salary:
Not provided
mirakl.com Logo
Mirakl
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • At least 4 years’ experience as a Data Scientist
  • Strong hands-on NLP and applied ML in industry
  • Experience deploying Machine Learning algorithms to production
  • Knowledge of NLP and Computer Vision algorithms and state-of-the-art architectures (e.g., Transformers)
  • Fluent in Python and TensorFlow and/or PyTorch
  • Experience with Spark development
  • Pragmatic, data-driven, and business-oriented
  • Takes full ownership of topics, works autonomously, and is a great team player
  • Brings a positive mindset: respect and kindness are core values
  • Enjoys sharing work through internal talks, conferences, or writing
Job Responsibility
Job Responsibility
  • Prototype, iterate, and ship algorithms to production in close collaboration with Product, Data Engineering, and Software teams
  • Focus on Marketplace catalog challenges, including NLP, Computer Vision, and large-scale Generative AI (custom LLMs)
  • Analyze and prepare data, prototype algorithms
  • Put algorithms into production with Data Engineers and dev teams
  • Build dashboards to demonstrate algorithm performance and monitor production
  • Present results at the weekly data science meeting and join team brainstorms
  • Partner with other teams to refine use cases, user experience, and integration paths
  • Fulltime
Read More
Arrow Right