data scientist

data analyst

research analyst

senior data engineer

ai/ml developer

analytical data scientist

C4ADS

<div><h1 class="jobSectionHeader">Data Scientist</h1>
<h2 class="jobSectionHeader">Position Summary</h2>

The Data Scientist will research, design, and evaluate AI and machine learning solutions that advance C4ADS's investigative mission. This role is centered on applied research and experimentation, with a focus on designing and testing LLM-based workflows, building retrieval and agentic pipelines, and translating complex analytical needs into working tools that investigators and analysts can actually use.

The ideal candidate combines strong technical depth in NLP and generative AI paired with genuine familiarity with global security, illicit networks, or open-source research. This person should be equally comfortable experimenting with emerging technologies, translating complex analytical needs into workable technical solutions, and communicating limitations and tradeoffs clearly to non-technical audiences.
<h2 class="jobSectionHeader">
Core Responsibilities</h2>
<h3 class="jobSectionHeader">AI Research &amp; Experimentation</h3>
<ul><li>Research, prototype, and evaluate LLM-based approaches to investigative data challenges</li>
<li>Design and test RAG (retrieval-augmented generation) pipelines for document-heavy research workflows</li>
<li>Develop and maintain MCP-based agentic tooling that supports analyst workflows</li>
<li>Conduct prompt engineering and model evaluation to assess output quality, reliability, and limitations</li>
<li>Stay current with developments in generative AI, NLP, and vector-based retrieval and bring relevant advances into organizational practice</li>
</ul><h3 class="jobSectionHeader">Applied NLP &amp; ML</h3>
<ul><li>Apply advanced NLP techniques to multilingual, unstructured text data including entity extraction, classification, clustering, and semantic search</li>
<li>Work with vector embeddings and embedding models to support similarity search and knowledge retrieval</li>
<li>Evaluate and select appropriate models and frameworks for specific research tasks, balancing performance, cost, and interpretability</li>
<li>Maintain awareness of ML fundamentals and apply sound experimental design when testing approaches</li>
</ul><h3 class="jobSectionHeader">Analyst &amp; Investigator Support</h3>
<ul><li>Partner closely with research and program teams to understand investigative data needs</li>
<li>Translate complex analytical requirements into tractable ML or AI problem framings</li>
<li>Build and document tools and workflows that empower non-technical investigators to work with AI outputs effectively</li>
<li>Communicate model limitations, uncertainty, and appropriate use clearly to non-technical stakeholders</li>
</ul><h3 class="jobSectionHeader">Data Visualization &amp; Communication</h3>
<ul><li>Develop clear visualizations and summaries that communicate analytical findings to internal and external audiences</li>
<li>Contribute to written outputs including technical documentation, research memos, and methodology notes</li>
<li>Present findings and methodologies to program teams and organizational leadership</li>
</ul><h3 class="jobSectionHeader">External Engagement</h3>
<ul><li>Participate in technical demos and engagements with external partners and clients</li>
<li>Advise external stakeholders on AI-assisted research approaches and appropriate use of generative AI tools</li>
<li>Represent C4ADS's technical capabilities in partnership and grant contexts where relevant</li>
</ul><h2 class="jobSectionHeader">Required Qualifications</h2>
<h3 class="jobSectionHeader">Skills &amp; Experience</h3>
<ul><li>2-4 years of experience in data science, applied ML, or NLP research (professional, academic, or a strong combination)</li>
<li>Strong understanding of NLP fundamentals and generative AI concepts including transformers, embeddings, RAG, and prompt engineering</li>
<li>Proficiency in Python for data processing, modeling, and pipeline development</li>
<li>Working knowledge of SQL and relational data</li>
<li>Hands-on experience with LLM application frameworks such as LangChain, LlamaIndex, or similar</li>
<li>Experience working with vector databases or embedding-based retrieval (Pinecone, Weaviate, pgvector, or similar)</li>
<li>Familiarity with AWS cloud services for storing and processing data</li>
<li>Experience working with government datasets, legal documents, or public records is a plus</li>
<li>Proficiency with Git and collaborative development practices</li>
</ul><h3 class="jobSectionHeader">Domain Knowledge</h3>
<ul><li>Background in international affairs, global security, conflict, sanctions, or illicit finance through coursework, research, or professional experience in the public sector, journalism, or other similar investigative and research fields.</li>
<li>Familiarity with OSINT methods or open-source research practices</li>
</ul><h3 class="jobSectionHeader">Education</h3>
<ul><li>Bachelor's or advanced degree in Data Science, Computer Science, Mathematics, Statistics, or a related technical field preferred, equivalent demonstrated experience considered</li>
</ul><h3 class="jobSectionHeader">Professional Competencies</h3>
<ul><li>Ability to independently scope and execute research projects, including shaping deliverables in collaboration with non-technical analytical teams</li>
<li>Strong analytical rigor with comfort questioning model outputs, stress-testing assumptions, and designing evaluations that surface failure modes</li>
<li>Thoughtful approach to AI ethics and responsible use, including awareness of bias, hallucination risks, and the stakes of applying AI in sensitive investigative contexts</li>
<li>Strong written and verbal communication skills, including ability to explain technical concepts to non-technical audiences</li>
<li>Collaborative working style with comfort operating across research and technical teams</li>
<li>Intellectual curiosity and genuine interest in the organization's mission</li>
</ul><h2 class="jobSectionHeader">Preferred Qualifications</h2>
<ul><li>Familiarity with Palantir Foundry or similar enterprise data platforms</li>
<li>Experience with graph databases or network analysis (Neo4j or similar)</li>
<li>Background in a nonprofit, policy, journalism, or national security research context</li>
<li>Experience with multilingual NLP or working across non-English language datasets</li>
</ul><h2 class="jobSectionHeader">Working Conditions</h2>
<ul><li>Hybrid role based in Washington, DC, with a minimum of 2 in-office days per week</li>
<li>Standard business hours with occasional flexibility required based on project needs</li>
<li>Highly collaborative team environment with regular cross-functional engagement across research data, and operations teams</li>
</ul><h2 class="jobSectionHeader">Compensation &amp; Benefits</h2>
<ul><li>Salary: $95,000</li>
<li>Benefits: Medical, Dental, and Vision insurance</li>
<li>Retirement: Voluntary 401(k) with 4% employer match</li>
<li>Time Off: Unlimited vacation and flex time, emphasizing outcomes over hours</li>
<li>Learning: $4,500 annual education stipend to grow your skills and language capabilities</li>
<li>Development: Access to customizable professional development resources</li>
<li>Culture: A mission-driven team that values hard work, creativity, and a healthy, supportive workplace</li></ul></div>

Data Scientist

DataAnnotation

<div>
 We are looking for a Data Scientist to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.
 
 
 In this role you will need to hold an expert understanding of data analysis. Other related fields include, but are not limited to: Applied skills in Statistics and/or Computer Science.
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 This is a full-time or part-time REMOTE position
 </li>
 <li>
 You&rsquo;ll be able to choose which projects you want to work on
 </li>
 <li>
 You can work on your own schedule
 </li>
 <li>
 Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Give AI chatbots writing and editing tasks and evaluate their outputs
 </li>
 <li>
 Evaluate the quality produced by AI models for correctness and performance
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Fluency in English (native or bilingual level)
 </li>
 <li>
 Detail-oriented
 </li>
 <li>
 Demonstrated proficiency in related technical, statistical, and mathematical skills
 </li>
 <li>
 A current, in progress, or completed Masters and/or PhD is preferred but not required
 
 
 </li>
 </ul>
 
 Notes
 
 
 
 Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. Only applicants in the United States will be considered for this role. This is an independent contract position.
 
 
 #math
</div>

Capgemini

<div>
 
 Capgemini Government Solutions (CGS) LLC is seeking a highly motivated Data Scientist to develop and deploy models and methodologies that enable pattern analysis, predictive modeling, intelligent automation, and AI/ML solutions. The successful candidate will have the opportunity to conceive and deliver innovative data science solutions to the U.S. Public Sector to help address critical national and global challenges such as health, climate change, and national security. This individual will join our Data and AI practice in the DC Metro Area. As a part of the rapidly expanding CGS Data and AI practice, the candidate will also help our clients develop, deploy, and modernize their data science products and ecosystems.
 
 
 At Capgemini, we are committed to our staff&rsquo;s professional development and offer a wide range of training and educational resources. In addition to our internal learning sites, we partnered with Coursera and Degreed to offer our staff the latest courses from academic institutions around the world. We provide education expense reimbursements as well as sponsor seminars, conferences, and certifications. Our practice leaders work with every team member to chart appropriate career paths and goals to ensure that we all stay innovative and transformative, which maximizes our ability to scale up our solutions, keep up with the cutting edge, and bring the art of what&rsquo;s possible to the Federal Government.
 
 
 
 Job Responsibilities
 
 
 
 As a Data Scientist you will:
 
 <ul>
 <li>
 Conduct exploratory data analysis to evaluate data pipelines and construct data stores (structured, semi-structured, and unstructured) as needed to feed frameworks/models
 </li>
 <li>
 Develop custom algorithms, frameworks, and models or leverage available tools, libraries, and applications to solve complex problems
 </li>
 </ul>
 <ul>
 <li>
 Deploy data science and AI/ML solutions and develop methodologies to scale up
 </li>
 <li>
 Present and articulate findings and present solutions to clients and team members
 </li>
 </ul>
 <ul>
 <li>
 Collaborate with internal and external stakeholders to pattern analysis, predictive modeling, intelligent automation, GenAI, OCR, NLP, fraud detection, and other business cases for using data science, machine learning, and artificial intelligence
 </li>
 </ul>
 <ul>
 <li>
 Maintain knowledge of advances of data science in industry and academia
 </li>
 <li>
 Contribute to the overall growth of the Data and AI practice
 </li>
 </ul>
 
 &nbsp;
 
 
 
 Required&nbsp;Qualifications
 
 
 <ul>
 <li>
 U.S. Citizenship is required
 </li>
 <li>
 Eligible to obtain and maintain a Government Security Clearance
 </li>
 <li>
 Be at client site full time in Washington, DC
 </li>
 <li>
 Bachelor&rsquo;s degree or higher in data science, statistics, computer science, economics, mathematics, information systems, or similar field preferred
 </li>
 <li>
 Minimum of three (3) years of professional experience (relevant advanced degrees may substitute equivalent number of years) with data science, AI/ML, or deep learning delivery&nbsp;responsibilities such as:
 </li>
 <ul>
 <li>
 Designing and developing data models and algorithms for multi-objective optimization and decision making
 </li>
 <li>
 Building and deploying predictive and prescriptive analytics
 </li>
 <li>
 Conducting hypothesis testing, statistical and probability analyses
 </li>
 <li>
 Applying appropriate methods to describe statistical relationships between variables
 </li>
 <li>
 Performing multiple correspondence analysis (MCA), principal component analysis (PCA, and association rule mining
 </li>
 </ul>
 <li>
 Experience using tools such as Databricks; Azure&rsquo;s Machine Learning and AI Services; AWS&rsquo;s SageMaker and Bedrock
 </li>
 <li>
 Experience programming in languages such as Python, R, Scala, SQL, JavaScript, C/C++, and Java
 </li>
 <li>
 Experience using libraries and frameworks such as TensorFlow, PyTorch, mpi4py, Spark ML/MLlib, Jupyter, h2o, keras, or mir
 </li>
 <li>
 Experience collecting in managing large data sets in cloud-based databases, data lakes, and data warehouses such as Oracle EDW, SQL Server, or MS Access
 </li>
 <li>
 Ability to multi-task and stay flexible in a dynamic work environment
 </li>
 </ul>
 
 &nbsp;
 
 
 
 Preferred/Nice to Have Qualifications
 
 
 <ul>
 <li>
 Active Government Security clearance
 </li>
 <li>
 Experience developing algorithms for High-Performance Computing (HPC) environments using custom multi-core desktop computers and MS MPI
 </li>
 <li>
 Experience with Deep Learning methods in NLP, sentiment analysis, topic modeling, and graph theory and databases
 </li>
 <li>
 Experience working with big data distributed programming languages and ecosystems such as Hadoop, MapReduce, Pig, or Kafka
 </li>
 <li>
 Experience working in an IT project team following SDLC and DevOps methodologies
 </li>
 </ul>
 
 &nbsp;
 
 
 About Capgemini
 
 
 Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of &amp;euro;22.1 billion.
 
 Get The Future You Want | www.capgemini.com
 
 Disclaimer
 
 
 All qualified applicants will be considered for employment based on their skills, and merit.
 
 Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $100k - $120k.&nbsp;This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company&rsquo;s sole discretion, consistent with the law.
 
 Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
 
 
 This employer is required to notify all applicants of their rights pursuant to federal employment laws.
 
 For further information, please review the Know Your Rights notice from the Department of Labor.
</div>

Fiserv

<div><div><div>Calling all innovators - find your future at Fiserv.
We're Fiserv, a global leader in Fintech and payments, and we move money and information in a way that moves the world. We connect financial institutions, corporations, merchants and consumers to one another millions of times a day - quickly, reliably, and securely. Any time you swipe your credit card, pay through a mobile app, or withdraw money from the bank, we're involved. If you want to make an impact on a global scale, come make a difference at Fiserv.
Job Title
Data Science Analyst
What does a successful Data Science Analyst do at Fiserv? 
As a Data Science Analyst in the 2026 Technology Analyst Program at Fiserv, you will apply modern data and AI techniques to power the next generation of fintech experiences. Over two structured assignments, you gain hands-on experience with Python, SQL, machine learning, and large language models while contributing to high-impact business solutions. You collaborate across product, data, and engineering teams to design, benchmark, and scale AI-driven analytics that support our clients&rsquo; needs at the speed of life. Through formal training, mentorship, and exposure to senior leaders, you accelerate your growth as a data and AI professional while helping Fiserv lead the industry as a true partner in possibility.
What you will do:<ul><li>
Leverage Python and SQL to clean, transform, and synthesize high-quality datasets used to train and evaluate AI and analytics solutions.</li><li>
Build and refine LLM-powered workflows and autonomous agents using prompt engineering, Retrieval-Augmented Generation (RAG), and fine-tuning to automate complex analytical tasks.</li><li>
Design and execute experiments to benchmark model performance using LLM evaluation metrics such as accuracy, latency, and reasoning consistency.</li><li>
Develop visualizations and reports that clearly explain model behavior, &ldquo;agentic&rdquo; decision-making, and analytical findings to technical and non-technical stakeholders.</li><li>
Contribute to the lifecycle of machine learning models, from prototyping through deployment into scalable AI systems that optimize internal business processes.</li><li>
Apply statistical techniques and predictive modeling to identify trends, quantify impact, and recommend data-driven actions that support business innovation.</li></ul>
What you will need to have:<ul><li>
Recent graduate of a bachelor&rsquo;s degree completed in December 2024 or later in Computer Science, Data Science, Statistics, Mathematics, Business Analytics, Management Information Systems, or a related technology field (or equivalent military experience).</li><li>
3.0+ cumulative GPA</li><li>
Foundational experience (academic, internship, or professional) with:<ul><li>
Python for data preparation, statistical analysis, and modeling</li><li>
SQL for querying and working with relational or cloud datasets.</li></ul></li><li>
0&ndash;2 years of relevant internship, co-op, military, or professional experience.</li><li>
Authorization to work in the U.S. without the need for visa sponsorship now or in the future.</li></ul>
What would be great to have:<ul><li>
Exposure to machine learning concepts or frameworks (such as scikit-learn, TensorFlow, or PyTorch).</li><li>
Experience working with data visualization tools such as Power BI, Tableau, or similar platforms.</li><li>
Familiarity with cloud-based data or analytics environments (e.g., AWS, Azure, GCP).</li><li>
Introductory experience or coursework related to AI, large language models, or advanced analytics.</li><li>
Strong problem-solving skills with the ability to learn new tools and technologies quickly.</li><li>
Effective written and verbal communication skills.</li><li>
Ability to manage multiple priorities in a fast-paced, collaborative environment.</li><li>
Military-affiliated candidates are encouraged to apply (Veterans, Military Spouses, Guard/Reservists).</li></ul>
Perks at Work:<ul><li>
We&rsquo;re #FiservProud of our commitment to your overall well-being with a growing offering of physical, mental, emotional, and financial benefits from day one.</li><li>
Maintain a healthy work-life balance with paid holidays, generous time off policies, including Recharge &amp; Refuel time for qualifying associates, and free counseling through our EAP.</li><li>
Plan for your future with competitive salaries, the Fiserv 401(k) Savings Plan, and our Employee Stock Purchase Plan.</li><li>
Recognize and be recognized by colleagues with our Living Proof program where you can exchange points for a variety of rewards.</li><li>
Prioritize your health with a variety of medical, dental, vision, life and disability insurance options and a range of well-being resources through our Fuel Your Life program.</li><li>
Advance your career with training, development, certification, and internal mobility opportunities.</li><li>
Join Employee Resource Groups that promote our diverse and inclusive culture where associates can share perspectives, exchange ideas, and elevate careers.</li></ul>
In order to be considered, you must be legally authorized to work in the U.S. without need for visa sponsorship, now or in the future.
Salary Range
$60,800.00 - $91,200.00
These pay ranges apply to employees in Massachusetts, California (excluding Sunnyvale) and District of Columbia. Pay ranges for employees in other states may differ.
It is unlawful to discriminate against a prospective employee due to the individual's status as a veteran.
This position is not eligible for an annual incentive opportunity and is also not eligible to earn commissions.
Thank you for considering employment with Fiserv. Please:<ul><li>
Apply using your legal name</li><li>
Complete the step-by-step profile and attach your resume (either is acceptable, both are preferable).</li></ul>
Our commitment to Equal Opportunity:
Fiserv is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, gender, gender identity, sexual orientation, age, disability, protected veteran status, or any other category protected by law.
If you have a disability and require a reasonable accommodation in completing a job application or otherwise participating in the overall hiring process, please contact AskHR.US@fiserv.com. Please note our AskHR representatives do not have visibility to your application status. Current associates who require a workplace accommodation should refer to Fiserv&rsquo;s Disability Accommodation Policy for additional information.
Note to agencies:
Fiserv does not accept resume submissions from agencies outside of existing agreements. Please do not send resumes to Fiserv associates. Fiserv is not responsible for any fees associated with unsolicited resume submissions.
Warning about fake job posts:
Please be aware of fraudulent job postings that are not affiliated with Fiserv. Fraudulent job postings may be used by cyber criminals to target your personally identifiable information and/or to steal money or financial information. Any communications from a Fiserv representative will come from a legitimate Fiserv email address.</div></div></div>

Data Science Analyst

BlueLabs

<div>About BlueLabs

BlueLabs is a leading provider of analytics services and technology dedicated to helping our partners do the most good with their data. Our team of analysts, scientists, engineers, and strategists hail from diverse backgrounds yet share a passion for using data to solve the world's greatest social and analytical challenges. Since our inception we've worked with more than 400 organizations ranging from advocacy groups, unions, political campaigns, and international groups. In addition, we service an ever-expanding portfolio of commercial clients in the automotive, travel, CPG, entertainment, healthcare, media, and telecom industries. Along the way, we've developed some of the most innovative tools available in analytics, media optimization, reporting, and influencer outreach.

About the Team:

The BlueLabs Data Science Team develops deep expertise and uses data to inform strategic advice to our clients. Our polling work designs, implements, and fields tools that power our analysis and messaging. We take a deep dive into research that looks at what motivates people to vote, buy a product, hold an opinion, and whether campaigns are successful. Our statistical research identifies areas where we can better assess the impact of various factors in the campaign and polling areas. Our fast-paced, impact-driven team conducts innovative analysis to support our clients' work. We bring definition to challenging problems, creatively identify data sources, then design analytics that accurately measure impact and move the needle every day. We work in changing, ambiguous environments, so we embrace nuance, inclusivity, and complexity to deliver programs that work for the diverse groups of individuals who rely on us.

About the Role:

Data Scientists use a combination of statistics, programming, and domain knowledge to solve problems, ranging from customized solutions for specific clients to creating the methodological backbone for our general purpose products. They have strong technical skills and are also creative thinkers who are always looking to innovate and deliver value to our clients. They aren't afraid of messy data, and are comfortable working in a fast paced, production-oriented environment. Our team members receive strong mentorship and are given a chance to complete projects independently.
What You'll Do:
<ul>
<li>Execute on the design, implementation, and delivery of analytics products and services</li>
<li>Build predictive models, tools, and data visualizations</li>
<li>Ensure the data and modeling results meet requirements for quality and work with the team to clean, transform, aggregate, and report on data as needed</li>
<li>Collaborate with engineers, data scientists, program managers and external stakeholders to troubleshoot problems and proactively create solutions</li>
<li>Assist on research development projects and data science project plans for clients and internal initiatives</li>
<li>Strive to support team excellence by documenting processes and evangelizing new approaches</li>
<li>Work as part of a team to deliver accurate products on short deadlines</li>
</ul>
Who You Are:
<ul>
<li>You have a proven track record using data-driven solutions to improve social outcomes - and bring a multidisciplinary approach to doing so.</li>
<li>You have experience that developed a variety of skills: whether thinking strategically about how to develop an enduring process, digging deep into a complex data analysis, or putting yourself in the shoes of an end-user to answer a question they didn't know they had - you're comfortable thinking from a number of different perspectives</li>
<li>You are able to anticipate questions from your stakeholders while remaining objective in how you approach their unique challenges. You are experienced deriving value from imperfect data, but also know when to push the emergency stop button.</li>
</ul>
What We Are Seeking:
<ul>
<li>2+ years working in a quantitative production environment or a postgraduate degree in a quantitative field</li>
<li>Experience in and ability to apply your knowledge of foundations of statistics and modeling (distributions, parameter estimation, confidence intervals and tests, etc.) both in your own work, and in the ability to guide others</li>
<li>A strong understanding of a statistical programming language such as R or Python</li>
<li>Expertise building predictive models using regression and machine learning techniques</li>
<li>Ability to manipulate data with SQL</li>
<li>Proven experience creating analytics output within a production-oriented team</li>
<li>Ability to effectively communicate and present technical concepts to a non-technical audience, both in writing and verbally</li>
<li>Knowledge of experimental design and causal inference</li>
<li>Experience creating and delivering informative and engaging data visualizations using industry leading tools</li>
</ul>
What We Offer:

BlueLabs offers a friendly work environment and competitive benefits package including:
<ul>
<li>Premier health insurance plan</li>
<li>401K matching</li>
<li>Unlimited vacation</li>
<li>Paid sick, personal, and volunteer leave</li>
<li>15 weeks paid parental leave</li>
<li>Professional development &amp; learning stipend</li>
<li>Bring Your Own Device (BYOD) stipend</li>
<li>Employee Assistance Program (EAP)</li>
<li>Flexible working hours</li>
<li>Telecommuting options</li>
<li>Pre-tax transportation options</li>
<li>And more!</li>
</ul>
The salary for this position is $85,000 annually.

While we prefer this position to be in the Washington, DC area, we are open to considering candidates from within the U.S.

The salary range for candidates who meet the minimum posted qualifications reflects the Company's good faith understanding and belief as to the wage range, and is accurate as of the date of this job posting.

At BlueLabs, we celebrate, support and thrive on differences. Not only do they benefit our services, products, and community, but most importantly, they are to the benefit of our team. Qualified people of all races, ethnicities, ages, sex, genders, sexual orientations, national origins, gender identities, marital status, religions, veterans statuses, disabilities and any other protected classes are strongly encouraged to apply. BlueLabs endeavors to make reasonable accommodations for qualified applicants with a disability unless the accommodation would impose an undue hardship on the operation of our business. If an applicant believes they require such assistance to complete the application or to participate in an interview, or has any questions or concerns, they should contact the Director, People Operations. BlueLabs participates in E-verify. EEO is the Law.

Collection of Personal Information Notice:

As you are likely aware, by submitting your job application, you are submitting personal information to our company. We collect various categories of personal information, including identifiers, protected classifications, professional or employment related information and sensitive personal information. We may retain and use this information for up to three years, in order to come to a decision on whether or not you are a good fit for our company. We may also retain or use some of this information to comply with any requirements under law, or for purposes of defending ourselves in any litigation. We do not use this information for any other purpose, or share it with third parties, unless you become an employee. To learn more, or to see our full Notice to Job Applicants, please click here.</div>

ShadowObjects, LLC

<div>Job Title: Data Analytics Engineer 
Clearance Requirement: Active DoD Secret Clearance required 
Location: Remote / Pentagon<h3 class="jobSectionHeader">
Position Overview</h3>
The Data Analytics Engineer is a hybrid role combining Data Analyst, Data Engineer, and Data Scientist responsibilities. This position operates with a high level of autonomy, owning projects end-to-end across functional areas. The ideal candidate is proactive, solution-oriented, and capable of identifying opportunities, reducing complexity, and delivering efficient, high-quality data solutions.
This role also provides guidance to team members, helps remove roadblocks, and contributes to the continuous improvement of processes, systems, and deliverables.<h3 class="jobSectionHeader">
Key Responsibilities</h3>
Data Analysis &amp; Insights<ul><li>
Gather, clean, and analyze complex datasets using advanced analytical techniques</li><li>
Apply statistical methods to identify trends, patterns, and anomalies</li><li>
Conduct exploratory data analysis (EDA) to support decision-making</li><li>
Translate data findings into actionable insights for technical and non-technical stakeholders</li></ul>
Data Engineering &amp; Pipeline Development<ul><li>
Design, develop, and maintain ETL/ELT pipelines using Databricks and Delta Lake</li><li>
Implement Medallion Architecture (Bronze, Silver, Gold) to ensure data quality and scalability</li><li>
Manage data ingestion processes with a focus on traceability and governance (e.g., Collibra)</li><li>
Build and maintain data pipelines within DoD environments such as Advana/Jupiter</li><li>
Troubleshoot, debug, and optimize data pipelines, identifying root causes and implementing solutions</li></ul>
Data Visualization &amp; Reporting<ul><li>
Develop dashboards, reports, and visualizations using tools such as Tableau, Power BI, Qlik, or Foundry</li><li>
Create interactive dashboards and reports to support operational and strategic decisions</li><li>
Ensure accuracy, quality, and usability of all data visualizations and deliverables</li></ul>
Integration &amp; System Support<ul><li>
Collaborate with data engineers, analysts, scientists, and stakeholders to deliver integrated data solutions</li><li>
Support real-time data streaming using Databricks Structured Streaming</li><li>
Optimize data storage solutions leveraging Delta Lake capabilities (e.g., schema evolution, time travel)</li></ul>
Governance &amp; Compliance<ul><li>
Maintain data lineage and governance using tools such as Collibra</li><li>
Ensure compliance with data security, privacy, and DoD requirements</li><li>
Establish and enforce data quality standards across multiple data sources</li></ul>
Collaboration &amp; Communication<ul><li>
Work closely with cross-functional teams to gather and refine requirements</li><li>
Communicate findings, recommendations, and metrics clearly and professionally</li><li>
Track assigned tasks and provide regular updates to leadership</li><li>
Mentor junior team members and support team development initiatives</li></ul><h3 class="jobSectionHeader">
Required Qualifications</h3><ul><li>
Active DoD Secret Clearance</li><li>
Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, Engineering, or a related field</li><li>
5+ years of experience in data engineering and building data pipelines and architectures</li><li>
5+ years of experience in data analysis, data mining, or business intelligence</li><li>
3+ years of experience developing data solutions using Python, SQL, and/or PySpark in big data environments (e.g., Databricks, Snowflake)</li><li>
Strong experience with data visualization tools (Tableau, Power BI, Qlik, Foundry) and advanced Excel (macros, pivot tables, VBA)</li><li>
Experience with cloud platforms such as AWS, Azure, or Google Cloud</li><li>
Familiarity with big data frameworks (Hadoop, Spark, Kafka)</li><li>
Strong understanding of ETL processes, data warehousing, and BI best practices</li><li>
Proven ability to analyze large datasets and communicate insights effectively</li><li>
Strong problem-solving skills and attention to detail</li><li>
U.S. work authorization required</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Master&rsquo;s degree in Data Engineering, Computer Science, or related field</li><li>
Experience with DoD data platforms such as Advana and Jupiter</li><li>
Familiarity with statistical methods (e.g., hypothesis testing, regression analysis)</li><li>
Experience with SAP, Foundry, or advanced analytics platforms</li><li>
Experience with NoSQL databases (e.g., Cassandra, MongoDB)</li><li>
Knowledge of containerization tools (Docker, Kubernetes)</li><li>
Experience with version control systems (Git) and Agile methodologies (Scrum, Kanban)</li><li>
Prior experience in a client-facing government environment</li></ul><h3 class="jobSectionHeader">
Equal Employment Opportunity Statement</h3>
ShadowObjects, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.</div>

Data Analytics Engineer

Serko Ltd

<div>Serko is a cutting-edge tech platform in global business travel &amp; expense technology. When you join Serko, you become part of a team of passionate travellers and technologists bringing people together, using the world&rsquo;s leading business travel marketplace. We are proud to be an equal opportunity employer, and we embrace the richness of diversity, showing up authentically to create a positive impact. There's an exciting road ahead of us, where travel needs real, impactful change.
With offices in New Zealand, Australia, North America, and China, we are thrilled to be expanding our global footprint, landing our new hub in Bengaluru, India. With a rapid growth plan in place, we&rsquo;re hiring people from different backgrounds, experiences, abilities, and perspectives to help us build a world-class team and product. 
 
This role can be based in West Coast USA - we would be open to candidates in other locations as well with proven experience and expertise. 
Requirements 
We are building a foundational AI division at Serko and looking for a Senior Data Scientist to help us move from concept to MVP at velocity. 
This is a hands-on role for someone who prefers building over maintaining. You&rsquo;ll be implementing models within AI-agentic environments, specifically focusing on Recommender Systems, Ranking algorithms, and Reinforcement Learning. 
 
What you'll do<ul><li>
Architect and lead the deployment of sophisticated data science solutions that define the technical direction for Serko&rsquo;s AI-agentic ecosystem.</li><li>
Design the foundational frameworks for model integration within multi-agent environments, overseeing the implementation of high-scale Recommender Systems, Ranking algorithms, and advanced Deep Learning architectures (e.g., Heterogeneous Graph Transformers).</li><li>
Set the standard for technical excellence and velocity, establishing the protocols for scoping and prioritizing complex, cross-functional projects.</li><li>
De-risk the most ambiguous and high-stakes technical challenges, proactively adapting emerging AI technologies to ensure Serko remains a market leader.</li><li>
Partner with Leadership to co-create AI-first product strategies, ensuring the long-term roadmap is anchored in technical feasibility and measurable commercial outcomes.</li><li>
Anticipate market shifts and technological risks, identifying long-term opportunities that leverage proprietary data to create a competitive &quot;moat.&quot;</li><li>
Command executive-level influence by translating complex technical trajectories into strategic business cases for the C-suite and key global partners.</li><li>
Sponsor and elevate the technical community, raising the collective &quot;technical ceiling&quot; of the organization through high-level mentorship and the establishment of best practices.</li></ul>
What you'll bring<ul><li>
At least 8-10+ years of proven experience building and scaling production-grade ML systems that have moved the needle on global business metrics.</li><li>
Deep technical mastery in machine learning and applied statistics, with a track record of implementing &quot;bleeding-edge&quot; techniques in a commercial environment.</li><li>
Authority in experimentation and systems design, with the ability to build for extreme scalability, maintainability, and reliability across global regions.</li><li>
Executive-level communication skills, with a demonstrated ability to influence organizational strategy and navigate complex stakeholder landscapes.</li><li>
Strategic product intuition, understanding how to balance long-term architectural health with the immediate needs of a fast-paced product development cycle.</li><li>
Proven technical leadership, with experience guiding senior engineers/scientists through complex pivots and high-pressure launches.</li><li>
Advanced software engineering fluency (Python and modern data stacks), with a focus on building modular, reusable, and production-hardened AI components.</li><li>
Visionary and resilient mindset, comfortable owning the &quot;blank page&quot; and driving clarity in environments of extreme ambiguity.</li></ul> 

Benefits 
At Serko, we aim to create a place where people can come and do their best work. This means you&rsquo;ll be operating in an environment with great tools and support to enable you to perform at the highest level of your abilities, producing high-quality and delivering innovative and efficient results. Our people are fully engaged, continuously improving, and encouraged to make an impact.
Some of the benefits of working at Serko are:<ul><li>
A competitive base pay</li><li>
Medical Benefits</li><li>
Discretionary incentive plan based on individual and company performance</li><li>
Focus on development: Access to a learning &amp; development platform and opportunity for you to own your career pathways</li><li>
Flexible work policy</li><li>
The pay range is between $184,000 - $270,000 USD as a base salary offering annually.</li></ul></div>

Principal Data Scientist

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