ai/ml developer

associate data analyst, washington d.c. Jobs in Washington

associate data analyst, washington d.c.

business analyst/scrum master Jobs in Washington

business analyst/scrum master

data analyst intern

data scientist

senior data scientist

DoorDash

<div>
 
 About The Team
 
 
 
 The Analytics team is looking for experienced Data Scientists and Senior Data Scientists to guide measurement, strategy, and tactical decision-making across the company across a variety of teams and levels. Data Scientists at DoorDash work to uncover insights and turn them into relevant recommendations, driving decisions for the entire organization. Analytics is integral to all operational areas at DoorDash.
 
 
 
 Please apply here for all non-managerial levels within the following analytics teams:
 
 
 
 <ul>
 <li>
 Consumer &amp; Growth
 </li>
 <li>
 Business Operations
 </li>
 <li>
 Dasher &amp; Logistics
 </li>
 <li>
 Customer Experience &amp; Integrity
 </li>
 <li>
 Merchant, Ads &amp; Sales
 </li>
 <li>
 New Verticals
 </li>
 <li>
 International Data Science
 
 
 </li>
 </ul>
 
 About The Role
 
 
 
 As a Data Scientist at DoorDash, you'll use your quantitative background to mentor other scientists and dive into large datasets to guide decision-making. We solve a multitude of exciting challenges including customer acquisition, fraud and support, marketing, balancing supply and demand, new city launches, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you!
 
 
 
 You're Excited About This Opportunity Because You Will&hellip;
 
 
 
 <ul>
 <li>
 Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business
 </li>
 <li>
 Build full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools
 </li>
 <li>
 Work with and mentor junior analysts on how to use more advanced methods and solve challenges
 </li>
 <li>
 Produce recommendations and use statistical techniques and hypothesis testing to validate your findings
 </li>
 <li>
 Provide insights to help business and product leaders understand marketplace dynamics, user behaviors, and long-term trends
 </li>
 <li>
 Identify and measure levers to help move essential metrics and make recommendations
 </li>
 <li>
 Work backwards from understanding and sizing problems to ideating solutions
 </li>
 <li>
 Report against our goals by identifying essential metrics and building executive-facing dashboards to track progress
 </li>
 <li>
 Collaborate with engineering to implement, document, validate, and monitor our logging
 
 
 </li>
 </ul>
 
 We're Excited About You Because You Have&hellip;
 
 
 
 <ul>
 <li>
 A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain
 </li>
 <li>
 2+ years of experience in data analytics, consulting, or related role
 </li>
 <li>
 Experience working with funnel optimization, user segmentation, cohort analyses, time series analyses, regression models, etc
 </li>
 <li>
 Expertise of SQL queries, ETL, A/B Testing, and statistical analysis (e.g. hypothesis testing, experimentation, regressions) with statistical packages, such as Matlab, R, SAS or Python
 </li>
 <li>
 Proficiency in one or more analytics &amp; visualization tools (e.g. Chartio, Looker, Tableau)
 </li>
 <li>
 The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
 
 
 </li>
 </ul>
 Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
 
 
 We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.
 
 
 The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey
 
 
 
 Compensation
 
 
 
 The successful candidate's starting pay will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Base salary is localized according to an employee&rsquo;s work location. Ranges are market-dependent and may be modified in the future.
 
 
 In addition to base salary, the compensation for this role includes opportunities for equity grants. Talk to your recruiter for more information.
 
 
 DoorDash cares about you and your overall well-being. That&rsquo;s why we offer a comprehensive benefits package to all regular employees, which includes a 401(k) plan with employer matching, 16 weeks of paid parental leave, wellness benefits, commuter benefits match, paid time off and paid sick leave in compliance with applicable laws (e.g. Colorado Healthy Families and Workplaces Act). DoorDash also offers medical, dental, and vision benefits, 11 paid holidays, disability and basic life insurance, family-forming assistance, and a mental health program, among others.
 
 
 To learn more about our benefits, visit our careers page here.
 
 
 
 See Below For Paid Time Off Details
 
 
 
 <ul>
 <li>
 For salaried roles: flexible paid time off/vacation, plus 80 hours of paid sick time per year.
 </li>
 <li>
 For hourly roles: vacation accrued at about 1 hour for every 25.97 hours worked (e.g. about 6.7 hours/month if working 40 hours/week; about 3.4 hours/month if working 20 hours/week), and paid sick time accrued at 1 hour for every 30 hours worked (e.g. about 5.8 hours/month if working 40 hours/week; about 2.9 hours/month if working 20 hours/week).
 
 
 </li>
 </ul>
 
 The national base pay ranges for this position within the United States, including Illinois and Colorado.
 
 
 
 I4
 
 
 $124,100&mdash;$182,500 USD
 
 
 I5
 
 
 $152,000&mdash;$223,500 USD
 
 
 I6
 
 
 $184,300&mdash;$271,000 USD
 
 
 
 About DoorDash
 
 
 
 At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users&mdash;from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
 
 
 DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees&rsquo; happiness, healthiness, and overall well-being by providing comprehensive benefits and perks including premium healthcare, wellness expense reimbursement, paid parental leave and more.
 
 
 Our Commitment to Diversity and Inclusion
 
 
 We&rsquo;re committed to growing and empowering a more inclusive community within our company, industry, and cities. That&rsquo;s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
 
 
 Statement of Non-Discrimination: In keeping with our beliefs and goals, no employee or applicant will face discrimination or harassment based on: race, color, ancestry, national origin, religion, age, gender, marital/domestic partner status, sexual orientation, gender identity or expression, disability status, or veteran status. Above and beyond discrimination and harassment based on &ldquo;protected categories,&rdquo; we also strive to prevent other subtler forms of inappropriate behavior (i.e., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at DoorDash. We value a diverse workforce &ndash; people who identify as women, non-binary or gender non-conforming, LGBTQIA+, American Indian or Native Alaskan, Black or African American, Hispanic or Latinx, Native Hawaiian or Other Pacific Islander, differently-abled, caretakers and parents, and veterans are strongly encouraged to apply. Thank you to the Level Playing Field Institute for this statement of non-discrimination.
 
 
 Pursuant to the San Francisco Fair Chance Ordinance, Los Angeles Fair Chance Initiative for Hiring Ordinance, and any other state or local hiring regulations, we will consider for employment any qualified applicant, including those with arrest and conviction records, in a manner consistent with the applicable regulation.
 
 
 
 If you need any accommodations, please inform your recruiting contact upon initial connection.
 
 
 
 Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
 
 
 We used Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provided Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023. We resumed using Covey Scout for Inbound again on June 29, 2024, and ceased using Covey Scout for Inbound on April 30, 2026.
 
 
 The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here:
 
 https://getcovey.com/nyc-local-law-144.
 
</div>

Data Scientist / Senior Data Scientist

Parsons

<div>In a world of possibilities, pursue one with endless opportunities. Imagine Next! 

At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what&rsquo;s possible. 
Job Description:
Parsons is looking for an amazingly talented Senior Data Scientist / AI Specialist (Palantir &ndash; Foundry) to join our team! The Air Force Mission Assurance (MA) Construct Support Team requires highly specialized technical, analytical, and investigative support services. In this role you will get to execute the role of Data Platform User Experience and Application Designer, Data Collection and Entry by designing the user interface and experience of a data collection platform. You will provide data platform enablement and analytical support to ensure that MA business process workflows are scalable, maintainable, and decision-relevant.
What You'll Be Doing:<ul><li>
Will execute the role of Data Platform User Experience and Application Designer, Data Collection and Entry by designing the user interface and experience of a data collection platform, specifically focusing on making the process of entering data as intuitive and efficient as possible for users, ensuring accurate data capture and minimizing errors</li><li>
Maintain documentation, training materials, and knowledge transfer processes to support Air Force personnel.</li><li>
Provide ongoing system maintenance, enhancement, and performance optimizations</li><li>
Capability development, integration with DoD MA systems and Dept of AF Data Fabric systems to ensure USAF MA Enterprise data system of record capabilities are maintained.</li><li>
Work with the requirement business owners to understand needs and translate requirements into technical specifications and deliverables.</li><li>
Analytical Support to Mission Assurance Activities</li><li>
Enterprise Platform Coordination and Advocacy Support</li><li>
Data Architecture Review, Evolution, Stewardship, and Process Support</li><li>
Workflow Data Platform Enablement, Sustainment, and Automation</li></ul>
What Required Skills You'll Bring:<ul><li>
Active Top Secret/SCI security clearance</li><li>
10+ years of related experience and a Bachelors Degree or equivalent work experience</li><li>
Apply advanced analytics, AI/ML, and statistical methods to derive insights from complex mission data sets, including design, development, evaluation, and application of AI- and ML-based analytical methods to support MA use cases.
</li><li>Translation of analytical and AI-driven insights into decision-relevant products for senior leaders and MA stakeholders.</li><li>
Ability to implement, sustain, and scale MA data workflows, analytical models, and decision-support tools</li><li>
Align MA data workflows with evolving MA processes, governance requirements, and decision-support needs</li><li>
Configure Government-directed data platform capabilities to enable MA data analysis, monitoring, reporting, and automation</li><li>
Implement, sustain, and continuously improve MA&ndash;related business process workflows, including coordination workflows, governance preparation workflows</li><li>
Experience working in Palantir Foundry&rsquo;s data integration and platform application</li></ul> 
What Desired Skills You'll Bring:<ul><li>
Foundry Application Developer certification</li></ul>
Security Clearance Requirement:
None
This position is part of our Federal Solutions team.
The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what&rsquo;s next to deliver the solutions our customers need now.
Salary Range: $125,100.00 - $225,200.00
We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!
Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.
We truly invest and care about our employee&rsquo;s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest&mdash;APPLY TODAY!<div>
Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/.</div></div>
 <div><div><div>COMPETITIVE BENEFIT OFFERINGS</div></div><div><div><div> 
Financial Wellness</div><div> 
We care about your financial wellbeing. Parsons offers competitive pay and retirement plans to help you build wealth for the future while giving you the flexibility to diversify your investments.</div></div><div><div>
Work Life Harmony</div><div> 
Balance in life is important and time away from the office is imperative to allow you to refresh and focus your attention on the things that matter to you. Parsons supports your time away by providing paid time off and paid flexible holidays.</div></div><div><div>
Career Development</div><div> 
We are committed to fostering the personal and professional growth of our employees. Develop and advance yourself though our comprehensive training, educational and mentorship programs.</div></div><div><div> 
Veteran Support</div><div> 
We provide Industry leading benefits to support veterans and active-duty members to provide security for you and your family by offering robust leave and benefits; including paid active-duty military leave and paid time off when transitioning back to civilian life.</div></div><div><div>
Mind &amp; Body</div><div> 
At Parsons we inspire healthier habits, heathier minds, and a healthier you through our wellness program. Participate in our weekly Meditation Mondays and Wellness Wednesdays. Wellness, at Parsons, is more than just your annual checkup.</div></div><div><div>
Health</div><div> 
Health is not a one size fits all. At Parsons, we offer a robust Employee Assistance Program as well as comprehensive medical, dental and vision plans through large, national carriers with the choice of regional PPO, HDHP, or HMO networks.</div></div></div></div>

Senior Data Scientist and AI Specialist

SAIC

<div>Job ID: 2613789
Location: Washington, DC, US
Date Posted: 2026-06-17
Category: Information Technology
Subcategory: Data Scientist
Schedule: Full-Time
Shift: Day Job
Travel: No
Minimum Clearance Required: Secret
Clearance Level Must Be Able to Obtain: None
Potential for Remote Work: ORA_HYBRID 
Description
We are seeking an Enterprise Data and AI Solutions Scientist to join our Hyperautomation team. This role is designed for an analytically curious and technically versatile &ldquo;data hunter&rdquo; who thrives when the required data source, system, field, or solution has not yet been identified.
The successful candidate will lead investigative data-discovery efforts across enterprise platforms, determine where relevant information resides, evaluate its reliability, correlate records across disparate systems, and translate findings into repeatable analytics, AI-enabled data-enrichment capabilities, and automated workflows.
This position goes beyond querying known datasets or producing predefined reports. It requires someone who can take an ambiguous business objective, investigate multiple enterprise systems, identify relationships among incomplete or conflicting datasets, and develop an evidence-based approach to solving the problem. This individual will bridge the gap between raw enterprise data, intelligent data enrichment, and automation.
What You Will Bring to the Team
You are more than a reporting specialist or traditional data scientist. You are comfortable beginning with an unanswered question, navigating unfamiliar enterprise systems, testing
This role is hybrid and reports onsite in Washington, DC at least 1 day a week and as required for meetings, testing or other gov activities as directed by their lead.
Key Responsibilities:<ul><li>
Investigative Data Discovery: Lead data-hunting and investigative analytics efforts in support of complex business, operational, security, and hyperautomation use cases.</li><li>
Platform Exploration: Investigate enterprise platforms, particularly Splunk and ServiceNow, to identify relevant indexes, sourcetypes, tables, fields, APIs, relationships, and authoritative data sources.</li><li>
Data Correlation and Reconciliation: Identify correlation keys across disparate systems, including configuration-management, endpoint, identity, asset, and operational data. Develop methods for reconciling incomplete, inconsistent, duplicated, or conflicting records.</li><li>
Advanced Querying and Scripting: Develop and optimize searches, queries, scripts, and analytical workflows using SPL, SQL, Python, REST APIs, and related data-retrieval technologies.</li><li>
AI-Driven Data Enrichment: Use approved AI and Generative AI capabilities, including prompt-based APIs, to normalize data, extract attributes, and generate missing data points from available record-level context. Examples may include using known IT asset manufacturers and models to determine or infer lifecycle attributes such as End of Life or End of Support.</li><li>
AI Output Validation: Evaluate AI-generated attributes for accuracy, consistency, and business usability. Clearly distinguish authoritative source data from inferred or generated information and document supporting evidence, confidence, and known limitations.</li><li>
Automation Integration: Partner with RPA, workflow, and data-engineering teams to convert successful analytical discoveries and enrichment processes into repeatable, governed, and sustainable enterprise capabilities.</li><li>
Solution Design: Help determine whether a use case is best addressed through data engineering, API integration, business-process automation, robotic process automation, AI-enabled enrichment, or a hybrid approach.</li><li>
Prototyping and Communication: Develop prototypes, proofs of concept, dashboards, and visualizations. Communicate findings, data limitations, technical risks, and recommendations to both technical teams and senior leadership.</li></ul>
Core Competencies:<ul><li>
Investigative Curiosity: A persistent drive to explore unfamiliar systems and data structures until a defensible answer or path forward is identified.</li><li>
Systems Thinking: The ability to understand how data flows across applications, infrastructure, identity systems, assets, and business processes.</li><li>
Evidence-Based Discipline: A rigorous approach to validating conclusions, documenting data lineage, and distinguishing authoritative, derived, and AI-generated information.</li><li>
Solution Orientation: The ability to turn one-time discoveries into reusable, scalable, and supportable enterprise capabilities.</li><li>
Consultative Communication: The ability to translate complex data findings into clear, actionable recommendations for technical and business stakeholders.</li></ul>
Illustrative Use Cases:<ul><li>
Correlating security, endpoint, identity, asset, and service-management data across Splunk, ServiceNow, and other platforms to identify vulnerable, unsupported, or untracked enterprise assets.</li><li>
Sending known asset attributes, such as manufacturer, model, product family, and software version, to an approved AI service to generate missing lifecycle information, including estimated End-of-Life and End-of-Support dates.</li><li>
Using AI to normalize inconsistent manufacturer names, product models, application titles, organizational values, and other records that cannot be reliably standardized through static rules alone.</li><li>
Validating AI-generated data against available evidence, documenting the basis for each determination, and flagging low-confidence or conflicting results for human review.</li><li>
Mapping a manual data-gathering and reconciliation process and redesigning it as an automated pipeline using Databricks, APIs, ServiceNow, Splunk, Power Automate, or RPA technologies.</li></ul>
Qualifications
Required Education &amp; Experience:<ul><li>
Bachelor&rsquo;s degree in Data Science, Computer Science, Information Systems, Statistics, Engineering, or a related technical discipline and at least 2-5 years of relevant professional experience. Equivalent practical experience may be considered in lieu of a degree.</li><li>
Demonstrated experience conducting data discovery or investigative analytics when the required data sources, fields, or technical approach were not predefined.</li><li>
Hands-on Splunk experience, including SPL development, index and sourcetype discovery, field analysis, lookups, joins, and cross-source data correlation.</li><li>
Hands-on experience navigating and querying ServiceNow data structures, including CMDB, asset, operational, or related enterprise tables and APIs.</li><li>
Strong proficiency in SQL and Python for data retrieval, manipulation, integration, and analysis.</li><li>
Experience working with REST APIs, JSON, and structured or semi-structured data.</li><li>
Practical experience using AI, Generative AI, or prompt-based services to extract, classify, normalize, infer, or enrich enterprise data.</li><li>
Experience evaluating and validating generated or inferred data before incorporating it into analytics, reporting, or operational processes.</li><li>
Ability to work independently in ambiguous environments, formulate and test hypotheses, and adapt based on emerging findings.</li><li>
Strong analytical, problem-solving, documentation, and technical communication skills.</li></ul>
Required Clearance:<ul><li>
US Citizenship.</li><li>
Active Secret Clearance.</li></ul>
Preferred Qualifications:<ul><li>
Experience with Databricks, Apache Spark, Delta Lake, or cloud-based lakehouse architectures.</li><li>
Experience integrating with AI or large language model services through APIs, including prompt design, structured outputs, response evaluation, and exception handling.</li><li>
Experience developing or supporting workflows using Microsoft Power Automate or UiPath.</li><li>
Experience operationalizing AI-generated or AI-enriched data through automated pipelines, dashboards, workflow tools, or human-in-the-loop review processes.</li><li>
Familiarity with Retrieval-Augmented Generation, semantic matching, embedding models, vector databases, entity resolution, or related information-retrieval techniques.</li><li>
Experience working in federal government, regulated-industry, cybersecurity, IT asset-management, or large-scale enterprise environments.</li></ul>
Target salary range: $80,001 - $120,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.</div>

Enterprise Data and AI Solutions Scientist

KNOWFINITY

<div>
 
 Summary
 
 
 
 We are hiring a
 
 Data Scientist
 
 on behalf of one of our prestigious
 
 Fortune 500 Product-Based clients in the United States
 
 . This is an exciting opportunity to work on large-scale data platforms, advanced machine learning solutions, and data-driven products used by millions of customers worldwide.
 
 
 The ideal candidate should have hands-on experience in statistical analysis, predictive modeling, machine learning, and transforming complex data into actionable business insights within a fast-paced product environment.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Analyze large and complex datasets to identify trends, patterns, and business opportunities.
 </li>
 <li>
 Develop, validate, and deploy machine learning and predictive analytics models.
 </li>
 <li>
 Design and implement statistical models to solve real-world business problems.
 </li>
 <li>
 Collaborate with software engineers, data engineers, product managers, and business stakeholders to build data-driven solutions.
 </li>
 <li>
 Build dashboards, reports, and visualizations to communicate insights effectively.
 </li>
 <li>
 Perform feature engineering, model evaluation, and optimization for production-grade models.
 </li>
 <li>
 Develop forecasting, recommendation, classification, and clustering models.
 </li>
 <li>
 Support experimentation, A/B testing, and performance measurement initiatives.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 2+ years of experience in Data Science, Machine Learning, Analytics, or a related field.
 </li>
 <li>
 Strong proficiency in Python and SQL.
 </li>
 <li>
 Experience with machine learning frameworks such as Scikit-Learn, TensorFlow, PyTorch, or XGBoost.
 </li>
 <li>
 Strong understanding of statistics, probability, and predictive modeling techniques.
 </li>
 <li>
 Experience working with structured and unstructured datasets.
 </li>
 <li>
 Knowledge of data visualization tools such as Tableau, Power BI, or Looker.
 </li>
 <li>
 Familiarity with cloud platforms such as AWS, Azure, or GCP.
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills.
 </li>
 <li>
 Bachelor&rsquo;s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Experience working in a product-based company.
 </li>
 <li>
 Exposure to Generative AI, NLP, and Large Language Models (LLMs).
 </li>
 <li>
 Experience with Spark, Databricks, and big data technologies.
 </li>
 <li>
 Familiarity with MLOps tools and model deployment practices.
 </li>
 <li>
 Experience with A/B testing and experimentation frameworks.
 </li>
 <li>
 Knowledge of recommendation systems and customer analytics.
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Opportunity to work with a Fortune 500 Product-Based organization.
 </li>
 <li>
 Exposure to enterprise-scale data science and machine learning projects.
 </li>
 <li>
 Collaborative and innovation-driven work environment.
 </li>
 <li>
 Competitive compensation package.
 </li>
 <li>
 Long-term career growth and advancement opportunities.
 </li>
 <li>
 Access to modern technologies and data-driven decision-making initiatives.
 
 
 </li>
 </ul>
 
 Work Authorization
 
 
 
 Candidates must be legally authorized to work in the United States.
 
 
 
 Visa sponsorship is available for eligible candidates.
 
 
 
 Skills: tableau,power bi,gcp,generative ai,sql,data science,aws,azure,python,data analytics,machine learning,tensorflow
</div>

Data Scientist

Two Six Technologies

<div><div>At Two Six Technologies, we build, deploy, and implement innovative products that solve the world's most complex challenges today. Through unrivaled collaboration and unwavering trust, we push the boundaries of what's possible to empower our team and support our customers in building a safer global future.</div>
Overview of Opportunity

Two Six Technologies is seeking a Principal Research Scientist to lead technical program delivery and drive business development in new R&amp;D projects in AI/ML, applied statistics, and advanced analytics. Applications may include grey zone conflict, economics, cybersecurity, cognitive modeling, counter-adversarial AI, and broader DoW challenges. A successful candidate will deliver technical excellence while identifying, pursuing and winning new work for the team to grow into. They will also steward existing projects and staff to successful delivery. Therefore, candidates with experience and customer relations in other domains are also strongly encouraged to apply.

We are a research and development focused group, looking for research leaders who are comfortable quickly developing innovative solutions for customer needs, as well as leading teams of PhDs, researchers, and engineers to innovate, develop and deliver transformative capabilities for National Security. Ideal candidates bring a critical and rigorous approach to research, modeling and analysis, have a strong understanding of the tradeoffs between different modeling approaches, can explain complex approaches clearly to technical and non-technical audiences, and bring a flexible and creative approach to innovating for highly technical customers.

The work will be onsite in our Arlington, Virginia office.

Responsibilities:
<ul>
<li>Perform as technical lead on interdisciplinary projects; mentor junior team members on both technical and non-technical skills</li>
<li>Serve as a technical expert in a variety of AI, statistical, and analytics methodologies on a variety of programs and proposals</li>
<li>Identify, shape, and propose to AI and advanced analytics programs, including building trusted relationships with sponsors, leading technical writing, and developing innovative solutions</li>
</ul>
Qualifications:
<ul>
<li>Prior experience in building out capabilities that could support grey zone conflict or economic statecraft</li>
<li>Building predictive machine learning models for time series data</li>
<li>Mastery of several different subfields and approaches within AI/ML and statistical analysis; demonstrated ability to reason over the tradeoffs when choosing modeling approaches</li>
<li>Demonstrated experience innovating with foundational model tools for rapid research acceleration</li>
<li>Ability to write and review R, Python, or SQL code; fluency and comfort with git, CI/CD practices</li>
<li>Experience in winning and delivering new R&amp;D programs while growing new capabilities in a team</li>
<li>Holds significant relationships with key personnel in DARPA, other DOD research agencies, and broader government or private-sector sponsors</li>
<li>Experience developing and writing solutions for customers in a wide range of domains and applications</li>
<li>Ability to collaborate across disciplines and business units to bring innovative AI and analytics solutions to support capabilities and needs across the organization</li>
<li>Ten or more years of professional experience in a CS, Mathematics, Statistics or related field</li>
<li>Experience leading both AI / analytics researchers (including PhDs), practitioners, and software engineers on government contracts</li>
<li>Experience in project planning, agile development, and a variety of sprint management methods</li>
<li>Strong and flexible communication that adapts to the specific needs of the audience</li>
<li>Works well in and fosters a culture of respect, curiosity, humility and excellence\</li>
<li>Active Top Secret with SCI-eligible security clearance</li>
</ul>
Nice to haves:
<ul>
<li>Advanced degree and/ or publications in CS, Mathematics, Statistics or related field</li>
<li>Experience working with ISR data and maritime track data</li>
<li>Experience integrating with Maven Smart System</li>
<li>Intellectual curiosity across multiple domains and demonstrated success applying analytics to novel mission areas</li>
<li>Active TS/SCI</li>
</ul>
Clearance Requirements:
<ul>
<li>Active Top Secret / SCI-eligible security clearance</li>
</ul>
#LI-MS1

#onsite<div><div><div> 

Looking for other great opportunities? Check out Two Six Technologies Opportunities for all our Company's current openings!

Ready to make the first move towards growing your career? If so, check out the Two Six Technologies Candidate Journey! This will give you step-by-step directions on applying, what to expect during the application process, information about our rich benefits and perks along with our most frequently asked questions. If you are undecided and would like to learn more about us and how we are contributing to essential missions, check out our Two Six Technologies News page! We share information about the tech world around us and how we are making an impact! Still have questions, no worries! You can reach us at Contact Two Six Technologies. We are happy to connect and cover the information needed to assist you in reaching your next career milestone.

Two Six Technologies is an Equal Opportunity Employer and does not discriminate in employment opportunities or practices based on race (including traits historically associated with race, such as hair texture, hair type and protective hair styles (e.g., braids, twists, locs and twists)), color, religion, national origin, sex (including pregnancy, childbirth or related medical conditions and lactation), sexual orientation, gender identity or expression, age (40 and over), marital status, disability, genetic information, and protected veteran status or any other characteristic protected by applicable federal, state, or local law. For more information review the Two Six Technologies Equal Employment Opportunity and Affirmative Action Policy and the EEO Poster.

If you are an individual with a disability and would like to request reasonable workplace accommodation for any part of our employment process, please send an email to accommodations@twosixtech.com. Information provided will be kept confidential and used only to the extent required to provide needed reasonable accommodations.

Additionally, please be advised that this business uses E-Verify in its hiring practices.

By submitting the following application, I hereby certify that to the best of my knowledge, the information provided is true and accurate.</div></div></div></div>

Principal Research Scientist - AI/ML, Applied Statistics & Advanced Analytics

Fustis LLC

<div>Job Title:
Senior Big Data Developer
Location:
Washington, DC - Hybrid - Locals
Duration:
12 Months
Work Authorisation:
USC, GC, GC-EAD and H4-EAD
Pay Rate:
90-100/hr. on C2C
Mode of Interview:
Virtual 
<h2 class="jobSectionHeader"> 
Position Overview</h2>
The Data Architecture, Technology, and Analytics (DATA) team within the Federal Reserve Board&rsquo;s Division of Research &amp; Statistics (R&amp;S) is responsible for transforming how enterprise data is ingested, organized, analyzed, and visualized to support economic research and policy decision-making.
We are seeking a highly skilled Data Architect / Data Engineer to design, develop, and optimize modern data architectures, enterprise data platforms, and scalable data pipelines. This individual will play a critical role in supporting economists, researchers, analysts, and technical teams by ensuring efficient, reliable, and scalable access to data across the organization.
The ideal candidate is a hands-on data professional with deep expertise in data modeling, database architecture, ETL/ELT development, cloud platforms, and enterprise data management. This role requires strong analytical capabilities, excellent communication skills, and a passion for building data solutions that enable advanced research and business intelligence.
Key Responsibilities
Design, develop, and maintain enterprise-scale data architectures and data platforms. Build and optimize scalable ETL/ELT pipelines for ingestion, transformation, and delivery of structured and unstructured data. Develop conceptual, logical, and physical data models aligned with enterprise architecture standards. Architect and manage relational databases, data warehouses, data lakes, and modern data ecosystems. Support migration of data workflows and pipelines between on-premises and cloud environments. Implement workflow orchestration and automation using tools such as Airflow, Prefect, Dagster, or AWS Step Functions. Perform data integration across multiple internal and external data sources. Design and implement Change Data Capture (CDC) solutions for enterprise data warehousing initiatives. Optimize database performance, scalability, reliability, and data processing workloads. Collaborate with economists, researchers, analysts, and technical stakeholders to understand business requirements and deliver effective data solutions. Conduct root cause analysis of data issues and identify opportunities for process improvement and automation. Implement and maintain CI/CD pipelines and DataOps practices for data engineering projects. Support machine learning and advanced analytics initiatives through efficient data infrastructure and model deployment frameworks. Ensure data governance, security, quality, and compliance standards are followed across all solutions. Document architecture designs, technical specifications, and operational procedures. Required Qualifications
Education
Bachelor&rsquo;s Degree in Computer Science, Information Technology, Engineering, Data Science, or a related technical field. Master&rsquo;s Degree or other advanced degree is preferred. Experience
Minimum 7+ years of experience in Data Engineering, Data Architecture, Database Engineering, or related fields. Proven experience designing and implementing enterprise data platforms and large-scale data solutions. Required Technical Skills
Data Engineering &amp; Architecture
Strong expertise in data architecture, data modeling, and enterprise information architecture. Experience designing conceptual, logical, and physical data models. Extensive experience building and maintaining scalable data pipelines and processing frameworks. Experience implementing enterprise data warehouses, data lakes, and modern analytics platforms. Strong understanding of Change Data Capture (CDC) methodologies. Databases
Advanced SQL expertise. Hands-on experience with: PostgreSQL Microsoft SQL Server MySQL Experience with database administration, optimization, and performance tuning. Programming &amp; Scripting
Advanced proficiency in: Python R Strong scripting and automation experience. Experience with additional programming languages such as: Java Scala JavaScript Perl ETL/ELT &amp; Workflow Automation
Experience designing and automating ETL/ELT processes. Hands-on experience with workflow orchestration tools such as: Apache Airflow Prefect Dagster AWS Step Functions Cloud &amp; Modern Data Platforms
Experience working with: AWS Microsoft Azure Snowflake Experience migrating applications and data pipelines between on-premises and cloud environments. DevOps &amp; DataOps
Experience implementing and maintaining: CI/CD pipelines DataOps frameworks Experience with Git-based source control platforms: GitHub GitLab Big Data &amp; Analytics
Experience with: Distributed computing frameworks Large-scale data processing systems High-volume data workloads Experience processing structured and unstructured datasets. Linux &amp; Infrastructure
Strong development and deployment experience in Linux environments. Preferred Qualifications
Experience working with economic, financial, or regulatory datasets. Experience supporting research organizations or data-driven policy environments. Understanding of time-series data modeling, forecasting, and statistical analysis techniques. Experience with NoSQL technologies and Graph Databases. Experience developing, deploying, and maintaining Machine Learning models. Knowledge of enterprise data governance and metadata management frameworks. Experience supporting advanced analytics and AI-driven data initiatives. Soft Skills
Excellent verbal and written communication skills. Strong stakeholder management and customer service mindset. Exceptional analytical and problem-solving abilities. Ability to work independently and manage multiple priorities simultaneously. Strong troubleshooting and root-cause analysis skills. Detail-oriented with a focus on quality and continuous improvement.</div>

Senior Big Data Developer

cFocus Software Incorporated

<div>cFocus Software seeks a Mission Data Scientist to join our program supporting the Defense Intelligence Agency (DIA). This position is on site in the Washington DC, MD, &amp; VA area. This position requires a TS/SCI + CI Polygraph clearance. 
Qualifications:<ul><li>
Active TS/SCI + CI Polygraph clearance</li><li>
Master's degree in Data Science, Statistics, Mathematics, or related field with 4-12+ years of experience in data science</li><li>
Proficient in statistical analysis, machine learning, and data visualization</li><li>
Strong programming skills in Python or R</li><li>
Experience with .data science tools and platforms (Jupyter, pandas, scikit-learn)</li><li>
Understanding of intelligence community data and analytical methods</li></ul> 

Duties:<ul><li>
Applies advanced analytics, statistical modeling, and data science techniques to intelligence data.
</li><li>Develops predictive models, conducts exploratory data analysis, and extracts actionable insights from complex datasets.
</li><li>Utilizes statistical software and programming languages (Python, R) to analyze structured and unstructured data.
</li><li>Collaborates with intelligence analysts and mission partners to understand analytical requirements.
</li><li>Communicates findings through data visualizations and reports.
</li><li>Applies domain knowledge to intelligence problems</li></ul>
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Mission Data Scientist - TS/SCI + CI Polygraph Required

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