data scientist junior

Vantor

<div>
 Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what&rsquo;s happening now and shape what&rsquo;s coming next. Vantor is a place for problem solvers, changemakers, and go-getters&mdash;where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world.
 
 
 To be eligible for this position, you must be a U.S. Citizen. This position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status.
 
 
 
 Export Control/ITAR:
 
 Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3).
 
 
 
 Please review the job details below.
 
 
 
 This position requires an active U.S. Government Security Clearance at the
 
 TS/SCI
 
 level with an
 
 in-scope CI poly
 
 .
 
 
 We're hiring multiple Data Scientists to join our team. In this position you will use your expertise to support the research, development, and implementation of advanced analytical methodologies and techniques that leverage artificial intelligence, machine learning, and data science approaches. Data Scientists will support a forward-leaning defense intelligence program focused on enhancing analytic rigor, efficiency, and predictive capability across a broad mission set. This includes support to Object-Based Intelligence (OBI) production, structured analytic method augmentation, and automation of analytic workflows. Data Scientists will collaborate with analysts, methodologists, and technologists to research, develop, and implement advanced methodologies that leverage artificial intelligence, machine learning, and statistical modeling to solve complex intelligence problems.
 
 
 
 Responsibilities: A day in the life/What the position will be doing:
 
 
 
 <ul>
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 Work in tandem with analysts to figure out methods to solve their challenges with complex data sets, pattern identification, and visualizations.
 </li>
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 Perform research and implement forward-looking analytic methodologies that leverage statistical techniques and pattern recognition.
 </li>
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 Assist analysts in developing structured approaches to predictive intelligence that increase timeliness and accuracy of assessments.
 </li>
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 Expand existing Natural Language Processing (NLP) to include new entities and improved visualization.
 </li>
 <li>
 Research and implement approaches that enhance analytical tradecraft (support critical thinking, mitigate biases, increase analytic rigor).
 </li>
 <li>
 Research and implement advanced analytic methodologies that enhance tradecraft, mitigate bias, and improve analytic efficiency.
 </li>
 <li>
 Support the automation of structured analytic methods and workflows to increase repeatability and scalability of intelligence production.
 </li>
 <li>
 Contribute to the development and integration of semantic technologies, including ontologies and knowledge graphs, to support OBI standards.
 </li>
 <li>
 Design and build visualizations and dashboards that communicate complex data insights to technical and non-technical audiences.
 </li>
 <li>
 Evaluate and optimize analytic performance using qualitative and quantitative metrics.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Must be a US citizen and have an active TS/SCI with CI poly.
 </li>
 <li>
 3 years of experience and a related Bachelor&rsquo;s degree
 </li>
 <li>
 Demonstrated experience with Python, R, and SQL, including programmatic access to web services, data management, and visualization.
 </li>
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 Demonstrated experience with statistical analysis and data mining algorithms.
 </li>
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 Possesses knowledge and experience with artificial intelligence (AI), advanced analytics, cloud architecture, and data storage.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Polished oral and written communication skills sufficient to compose, tailor, and deliver original presentations and papers on abstract concepts.
 </li>
 <li>
 Familiarity with graph databases or graph data structures.
 </li>
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 Ability to lead multi-disciplinary teams to complete complex data science projects.
 </li>
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 Experience with AWS or similar cloud provider.
 </li>
 <li>
 Demonstrated experience in solving problems with structured and unstructured data.
 </li>
 <li>
 Experienced in applying statistical and data visualization skills.
 </li>
 <li>
 Strong problem-solving skills to manipulate data and draw insights from large data sets.
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 Proven ability to learn and master new software, technologies and techniques.
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 Familiarity with generative AI and large language models (LLMs) and their strengths and weaknesses when applied to intelligence requirements.
 </li>
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 Experience in two or more of the following: Machine Learning, Natural Language Processing, Apache Spark, Hadoop, R, C++, SQL Database/Coding, or visualization tools such as Tableau.
 
 
 </li>
 </ul>
 
 Pay Transparency:
 
 In support of pay transparency at Vantor, we disclose salary ranges on all U.S. job postings. The successful candidate&rsquo;s starting pay will fall within the salary range provided below and is determined based on job-related factors, including, but not limited to, the experience, qualifications, knowledge, skills, geographic work location, and market conditions. Candidates with the minimum necessary experience, qualifications, knowledge, and skillsets for the position should not expect to receive the upper end of the pay range.
 
 
 <ul>
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 The base pay for this position within the Washington, DC metropolitan area is: $90,000.00 - $150,000.00 annually.
 
 
 </li>
 </ul>
 For all other states, we use geographic cost of labor as an input to develop market-driven ranges for our roles, and as such, each location where we hire may have a different range.
 
 
 
 Benefits:
 
 Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life. You can find more information on our benefits at: https://www.Vantor.com/careers
 
 
 The application window is three days from the date the job is posted and will remain posted until a qualified candidate has been identified for hire. If the job is reposted regardless of reason, it will remain posted three days from the date the job is reposted and will remain reposted until a qualified candidate has been identified for hire.
 
 
 The date of posting can be found on Vantor's Career page at the top of each job posting.
 
 
 To apply, submit your application via Vantor's Career page.
 
 
 
 EEO Policy: Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.
 
</div>

Data Scientist - Junior

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

KamisPro

<div>
 
 Databricks Data Scientist
 
 
 
 
 
 Washington D.C. (hybrid onsite)
 
 
 165 - 185K + benefits
 
 
 
 
 
 
 
 
 
 Overview
 
 
 
 
 
 
 
 
 
 As a Databricks Data Scientist, you will leverage the Databricks platform to analyze large-scale, complex datasets for a highly visible consumer-facing product. This role focuses on transforming data into actionable insights that drive product strategy, customer experience improvements, and business outcomes. You will work cross-functionally to uncover trends, validate hypotheses, and deliver scalable analytical solutions.
 
 
 
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 
 
 <ul>
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 Analyze complex, high-volume datasets using the Databricks platform to identify trends, patterns, and actionable insights
 </li>
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 Perform data collection, cleansing, and exploratory data analysis (EDA) to ensure data quality and usability
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 Apply statistical methods and hypothesis testing to validate assumptions and identify significant trends
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 Develop and implement predictive models and machine learning solutions to support business objectives
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 Analyze customer behavior data, with a focus on retention, churn, and engagement metrics
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 Create data visualizations and dashboards to effectively communicate insights to stakeholders
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 Collaborate with product, engineering, and business teams to translate analytical findings into strategic recommendations
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 Utilize Python and SQL to manipulate data, build models, and implement scalable analytical workflows
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 Identify anomalies, correlations, and opportunities within large datasets to inform decision-making
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 Contribute to the design and optimization of data pipelines and analytics processes within the Databricks ecosystem
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 </ul>
 
 
 
 
 
 
 
 Requirements
 
 
 
 
 
 <ul>
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 Ability to pass a Public Trust Background Investigation
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 Bachelor&rsquo;s degree or four years of experience in lieu of degree
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 8+ years of relevant experience delivering data engineering solutions that drive measurable customer or user value
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 Advanced experience in predictive modeling and analytics, including regression, classification, clustering, and time-series analysis
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 Expert-level proficiency in data science methodologies, including statistical analysis, hypothesis testing, and machine learning model development
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 Strong expertise in Databricks platform, including building, deploying, and optimizing data pipelines and analytical workflows
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 Experience in data visualization tools and techniques to effectively communicate insights to technical and non-technical audiences
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 Experience with big data engineering concepts, including working with distributed data systems and large-scale data processing
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 Advanced proficiency in Python and SQL for data manipulation, feature engineering, and model implementation
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 Proven ability to analyze customer behavior data, with a focus on retention, churn analysis, and user engagement
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 Experience working with large, complex data sets, including data wrangling, cleaning, and exploratory data analysis (EDA)
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 Strong problem-solving skills with the ability to translate business questions into analytical frameworks and actionable insights
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 Excellent written and verbal communication skills with the ability to explain technical decisions in terms of customer impact
 </li>
 </ul>
 
 
</div>

Databricks Data Scientist

SiloSmashers, Inc.

<div>
 
 Junior Data Analyst (Top Secret Required)
 
 
 
 SiloSmashers is seeking a Junior Data Analyst to support our federal law enforcement client with data support.
 
 
 The Junior Data Analyst performs analysis on relevant information from a variety of sources to prepare documents, reports, summaries and replies to inquiries, ensuring accuracy and proper format of the information provided.
 
 
 
 Work Description
 
 
 
 <ul>
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 Participate in Ad hoc data projects and analyses that produce actionable recommendations that build relevant insights for internal and external stakeholders.
 </li>
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 Collect data and runs basic reports in response to client inquiries.
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 Work closely with key internal stakeholders to ensure sound knowledge of client requirements to support development of best-in-class analytical solutions.
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 Accurately enter required data into one or more databases, documents and/or spreadsheets.
 
 
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 </ul>
 
 Junior Data Analyst Qualifications
 
 
 
 <ul>
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 Bachelor's degree from an accredited university or college with two (2) year or more years of experience. Educational requirement may be waived if the candidate has five
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 Two (2) years or more of Data Analytical experience on data management activities as well as Microsoft Office Suite, SharePoint, Microsoft Access, and Adobe Acrobat.
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 Competence to review, interpret, and evaluate complex legal and non-legal documents.
 
 
 </li>
 </ul>
 Salary: $75000 - $85000 per year
 
 
 
 Job Posted by ApplicantPro
 
</div>

Junior Data Analyst(Active Top Secret Clearance Required)

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>
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 This is a full-time or part-time REMOTE position
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 You&rsquo;ll be able to choose which projects you want to work on
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 You can work on your own schedule
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 Projects are paid hourly starting at $40+ USD per hour, with bonuses on high-quality and high-volume work
 
 
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 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Give AI chatbots writing and editing tasks and evaluate their outputs
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 Evaluate the quality produced by AI models for correctness and performance
 
 
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 </ul>
 
 Qualifications
 
 
 
 <ul>
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 Fluency in English (native or bilingual level)
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 Detail-oriented
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 Demonstrated proficiency in related technical, statistical, and mathematical skills
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 A current, in progress, or completed Masters and/or PhD is preferred but not required
 
 
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 </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>

Data Scientist

hackajob

<div>
 
 
 hackajob
 
 is collaborating with
 
 IdeaCrew
 
 to connect them with exceptional professionals for this role.
 
 
 
 Junior Data Engineer
 
 
 Job Type: Full-Time
 
 
 Salary: $100,000 to $120,000 / year
 
 
 Full-Time
 
 
 <ul>
 <li>
 Washington, DC / Remote
 
 
 </li>
 </ul>
 IdeaCrew is currently seeking junior Data Engineers to join our innovative, hard-working team as we disrupt healthcare technology.
 
 
 As a member of our Analytics team, you will work with a modern data stack, build scalable data pipelines with python, and support external and internal reporting needs.
 
 
 A Junior Data Engineer for IdeaCrew will
 
 
 <ul>
 <li>
 Build and scale data pipelines in production environments using a modern data stack.
 </li>
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 Carry out complex analysis utilizing PostgresSQL.
 </li>
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 Implement data modeling best practices to support analytics and reporting needs.
 </li>
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 Design technical architectures and infrastructure components.
 </li>
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 Create automated data and code quality checks.
 </li>
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 Implement and enforce data governance policies and best practices to ensure data security and compliance.
 </li>
 <li>
 Work closely with cross-functional teams and stakeholders, including business process owners, analysts, and software engineers, to understand requirements and deliver solutions.
 </li>
 <li>
 Develop and maintain technical and process documentation such as data dictionaries, ERDs, data governance policies, etc.
 
 
 </li>
 </ul>
 
 Desired Skills &amp; Expertise
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field; equivalent professional experience will also be considered.
 </li>
 <li>
 3+ years of hands-on experience with Python for data processing in a production environment.
 </li>
 <li>
 2+ years of experience with PostgreSQL.
 </li>
 <li>
 Familiarity with NoSQL databases such as MongoDB or CouchDB is preferred.
 </li>
 <li>
 Strong problem-solving skills and ability to work both independently and in collaborative, cross-functional teams.
 </li>
 <li>
 Strong understanding of the fundamentals of ETL processes, data pipelines, and data modeling concepts.
 </li>
 <li>
 Experience with cloud platforms (e.g., AWS, GCP, Azure) in a production environment.
 </li>
 <li>
 Experience with the training and evaluation of machine learning models in consultation with stakeholders, SMEs, and other data scientists is a plus
 </li>
 </ul>
</div>

Junior Data Engineer

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>

Explore 387+ Data scientist junior in Washington this April. Find roles across top companies and apply now to boost your career.

387 data scientist junior jobs In Washington

Data Scientist - Junior

Data Analytics Engineer

Databricks Data Scientist

Junior Data Analyst(Active Top Secret Clearance Required)

Data Scientist

Junior Data Engineer

Data Scientist