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  • Senior Zero Trust Data Analytics Engineer

    Govcio LLC

    Data scientist job in Alexandria, VA

    GovCIO is currently hiring a senior-level Zero Trust Data Analytics Engineer to join our team, supporting a critical program with the U.S. Coast Guard. This position is located in Alexandria, VA and will be a hybrid remote position. Responsibilities: The Zero Trust Data Analytics Engineer will lead the effort to engineer the systems required to define, collect, analyze, and report on key metrics related to the operational effectiveness and maturity of the Zero Trust architecture. Design and implement a comprehensive data and analytics infrastructure to measure the effectiveness of ZT enablement and track progress towards ZT maturity goals. Define Key Performance Indicators (KPIs) and Key Risk Indicators (KRIs) that align with the seven pillars of Zero Trust (Identity, Devices, Applications/Workloads, Data, Network/Environment, Automation/Orchestration, Analytics/Visibility). Develop, maintain, and automate executive-level dashboards and reports to visualize ZT performance, compliance posture, and risk reduction using data visualization tools (e.g., Power BI, Tableau). Utilize advanced data engineering techniques to correlate security data from disparate sources (SIEM, EDR, IAM logs, network data) to identify trends, anomalies, and areas for improvement in ZT policy enforcement. Collaborate with ZT architects, security engineers, and compliance teams to ensure data requirements are met and that metrics accurately reflect the operational reality and effectiveness of implemented controls. Conduct in-depth analysis and provide actionable recommendations to leadership for optimizing ZT investments, mitigating risks, and accelerating maturity progression. Architect and maintain data collection processes and pipelines, ensuring data integrity, accuracy, and adherence to data governance standards. Mentor and provide expert guidance to data analysts and security teams on data-driven decision-making and performance measurement methodologies. Maintain rigorous and detailed documentation of measurement frameworks, data methodologies, and reporting procedures, strictly adhering to industry standards (e.g., ITIL, NIST). Qualifications: Bachelor's degree in Data Science, Statistics, Information Systems, or a related quantitative field (or an equivalent combination of education and extensive, directly relevant experience) with 8+ years (or commensurate experience). Required Skills and Experience Minimum 8+ years of progressive, hands-on experience in data analysis, data engineering, business intelligence, or data science, with a minimum of 3 years spent specifically in a senior role measuring IT effectiveness, security posture, or enterprise performance. Current DoD 8570 IAT Level II or III certification (e.g., Security+ CE, CySA+, CASP+, CISSP) is mandatory. Deep, hands-on expertise in data visualization tools (Power BI required, Tableau, or similar) for creating complex, automated operational and executive dashboards. Proven mastery of data analysis languages/tools (SQL required; Python/R for data engineering and statistical analysis preferred) with a track record of developing complex data models and analytical reports. Extensive experience with data correlation and aggregation from disparate enterprise systems, including security tools (SIEM, EDR), IT service management platforms (ServiceNow), and identity systems (Azure AD, Active Directory). Strong understanding of cybersecurity principles, Zero Trust architecture models (NIST SP 800-207), and compliance frameworks (DoD, FISMA, RMF). Exceptional analytical and problem-solving skills, with a demonstrable track record of translating complex technical data into clear, concise, and actionable business insights for senior leadership. Strong commitment to data governance, accuracy, and the practical application of IT service management and performance measurement best practices. Clearance Required: Must be clearable up to an active Secret clearance. Preferred Skills and Experience Prior experience supporting the U.S. Coast Guard, DoD, or other federal government agencies is highly preferred. Relevant industry certifications such as Certified Data Management Professional (CDMP), CISSP, CISM, or ITIL Foundation/Intermediate certifications. Experience with machine learning or advanced statistical modeling applied to cybersecurity data for predictive analytics. Familiarity with ITSM platform administration or configuration for data extraction and reporting (e.g., ServiceNow Performance Analytics module). Company Overview: GovCIO is a team of transformers--people who are passionate about transforming government IT. Every day, we make a positive impact by delivering innovative IT services and solutions that improve how government agencies operate and serve our citizens. But we can't do it alone. We need great people to help us do great things - for our customers, our culture, and our ability to attract other great people. We are changing the face of government IT and building a workforce that fuels this mission. Are you ready to be a transformer? What You Can Expect Interview & Hiring Process If you are selected to move forward through the process, here's what you can expect: During the Interview Process Virtual video interview conducted via video with the hiring manager and/or team Camera must be on A valid photo ID must be presented during each interview During the Hiring Process Enhanced Biometrics ID verification screening Background check, to include: Criminal history (past 7 years) Verification of your highest level of education Verification of your employment history (past 7 years), based on information provided in your application Employee Perks At GovCIO, we consistently hear that meaningful work and a collaborative team environment are two of the top reasons our employees enjoy working here. In addition, our employees have access to a range of perks and benefits to support their personal and professional well-being, beyond the standard company offered health benefits, including: Employee Assistance Program (EAP) Corporate Discounts Learning & Development platform, to include certification preparation content Training, Education and Certification Assistance* Referral Bonus Program Internal Mobility Program Pet Insurance Flexible Work Environment *Available to full-time employees Our employees' unique talents and contributions are the driving force behind our success in supporting our customers, which ultimately fuels the success of our company. Join us and be a part of a culture that invests in its people and prioritizes continuous enhancement of the employee experience. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, disability, or status as a protected veteran. EOE, including disability/vets. Posted Pay Range The posted pay range, if referenced, reflects the range expected for this position at the commencement of employment, however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, education, experience, and internal equity. The total compensation package for this position may also include other compensation elements, to be discussed during the hiring process. If hired, employee will be in an “at-will position” and the GovCIO reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, GovCIO or individual department/team performance, and market factors. Posted Salary Range: USD $95,000.00 - USD $130,000.00 /Yr.
    $95k-130k yearly 4d ago
  • Data Scientist

    Hackajob

    Data scientist job in Washington, DC

    hackajob has partnered with Planet Technologies, a leader in digital transformation and cloud innovation. Data Scientist Contract: Full-time Salary Range: $125,000 - $200,000 annually Security Clearance: Top Secret (TS) Planet Technologies is seeking a Data Scientist to support high-impact analytics and automation projects within secure federal environments. This role focuses on developing data-driven solutions, predictive models, and business intelligence tools to enhance decision-making and operational efficiency. Job Description: As a Data Scientist, you will design, develop, and implement data solutions to extract insights and support strategic initiatives. You'll collaborate across teams to build predictive models, automate processes, and improve data visualization and integration methods. Key Responsibilities: Build, maintain, and enhance dashboards, applications, and automations. Connect to APIs and establish system-to-system integrations for ETL processes. Develop predictive risk models and apply AI/ML techniques to analyze unstructured data. Create and deliver comprehensive data calls, normalization, and visualizations. Produce business intelligence analyses and visualizations for leadership. Improve methodologies and tools used for risk assessment. Research and recommend data storage and integration solutions. Develop user documentation and guides for BI products. Utilize data science tools such as SQL, R, and Python in daily operations. Qualifications: Strong proficiency with Power Platform, SharePoint, and InfoPath (required). Solid understanding of machine learning techniques and algorithms. Experience with data science toolkits such as R, Weka, NumPy, MATLAB, and BI tools like Power BI, Anaconda, or SPSS. Experience working with or integrating FBI systems (preferred). 2-6+ years of experience in data science or related fields (certifications or equivalent experience may be considered). Nice to Have: Familiarity with FBI data systems and federal compliance frameworks. Experience implementing machine learning for risk modeling or automation. About hackajob: hackajob is a recruitment platform that connects you with roles that match your skills and experience. To be considered for this opportunity, create a hackajob account and complete your profile. hackajob is a recruitment platform that will match you with relevant roles based on your preferences and in order to be matched with the roles you need to create an account with us. This role requires you to be based in Washington D.C.
    $125k-200k yearly 4d ago
  • Data Scientist

    Bestinfo Systems LLC

    Data scientist job in Columbia, MD

    Data Scientist - Transit Data Focus_Columbia, MD (On-site / hybrid)_Contract (6 Months) Data Scientist - Transit Data Focus Employment type: Contract Duration: 6 Months Justification: To manage and analyze customer databases, AVA (automated voice announcement), and schedule data for predictive maintenance and service planning. Experience Level: 3-5 years Job Responsibilities: Collect, process, and analyze transit-related datasets including customer databases, AVA (automated voice announcement) logs, real-time vehicle data, and schedule data. Develop predictive models and data-driven insights to support maintenance forecasting, service planning, and operational optimization. Design and implement data pipelines to integrate, clean, and transform large, heterogeneous transit data sources. Perform statistical analysis and machine learning to identify patterns, trends, and anomalies relevant to transit service performance and reliability. Collaborate with transit planners, maintenance teams, and IT staff to translate data insights into actionable business strategies. Monitor data quality and integrity; implement data validation and cleansing processes. Technical Skills & Qualifications: Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Transportation Engineering, or a related quantitative field. 3-5 years of experience working as a data scientist or data analyst, preferably in a transit, transportation, or public sector environment. Strong proficiency in Python or R for data analysis, statistical modeling, and machine learning. Experience with SQL for database querying, manipulation, and data extraction. Familiarity with transit data standards such as GTFS, AVL/CAD, APC (Automated Passenger Counters), and AVA systems. Experience with data visualization tools such as Power BI, or equivalent.
    $73k-103k yearly est. 21h ago
  • Data Scientist

    Kavaliro 4.2company rating

    Data scientist job in McLean, VA

    Kavaliro is seeking a Data Scientist to provide highly technical and in-depth data engineering support. The candidate MUST have experience designing and building data infrastructure, developing data pipelines, transforming and preparing data, ensuring data quality and security, and monitoring and optimizing systems. The candidate MUST have extensive experience with Python and AWS. Experience with SQL, multi-data source queries with database technologies (PostgreSQL, MySQL, RDS, etc.), NiFi, Git, Elasticsearch, Kibana, Jupyter Notebooks, NLP, AI, and any data visualization tools (Tableau, Kibana, Qlik, etc.) are desired. Required Skills and Demonstrated Experience Demonstrated experience with data engineering, to include designing and building data infrastructure, developing data pipelines, transforming/preparing data, ensuring data quality and security, and monitoring/optimizing systems. Demonstrated experience with data management and integration, including designing and perating robust data layers for application development across local and cloud or web data sources. Demonstrated work experience programming with Python Demonstrated experience building scalable ETL and ELT workflows for reporting and analytics. Demonstrated experience with general Linux computing and advanced bash scripting Demonstrated experience with SQL. Demonstrated experience constructing complex multi-data source queries with database technologies such as PostgreSQL, MySQL, Neo4J or RDS Demonstrated experience processing data sources containing structured or unstructured data Demonstrated experience developing data pipelines with NiFi to bring data into a central environment Demonstrated experience delivering results to stakeholders through written documentation and oral briefings Demonstrated experience using code repositories such as Git Demonstrated experience using Elastic and Kibana Demonstrated experience working with multiple stakeholders Demonstrated experience documenting such artifacts as code, Python packages and methodologies Demonstrated experience using Jupyter Notebooks Demonstrated experience with machine learning techniques including natural language processing Demonstrated experience explaining complex technical issues to more junior data scientists, in graphical, verbal, or written formats Demonstrated experience developing tested, reusable and reproducible work Work or educational background in one or more of the following areas: mathematics, statistics, hard sciences (e.g. Physics, Computational Biology, Astronomy, Neuroscience, etc.) computer science, data science, or business analytics Desired Skills and Demonstrated Experience Demonstrated experience with cloud services, such as AWS, as well as cloud data technologies and architecture. Demonstrated experience using big data processing tools such as Apache Spark or Trino Demonstrated experience with machine learning algorithms Demonstrated experience with using container frameworks such as Docker or Kubernetes Demonstrated experience with using data visualizations tools such as Tableau, Kibana or Apache Superset Demonstrated experience creating learning objectives and creating teaching curriculum in technical or scientific fields Location: McLean, Virginia This position is onsite and there is no remote availability. Clearance: TS/SCI with Full Scope Polygraph Applicant MUST hold a permanent U.S. citizenship for this position in accordance with government contract requirements. Kavaliro provides Equal Employment Opportunities to all employees and applicants. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Kavaliro is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Kavaliro will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please respond to this posting to connect with a company representative.
    $74k-105k yearly est. 4d ago
  • Senior Data Scientist

    Infocepts 3.7company rating

    Data scientist job in McLean, VA

    Purpose: As a Data Scientist, you will play a key role in delivering impactful, data-driven solutions for our strategic enterprise clients. This role also offers the opportunity to shape and grow Infocepts' Data Science & AI practice, contributing to high-impact AI/ML initiatives, crafting data-driven narratives for stakeholders, and applying advanced techniques to solve complex business problems from strategy to execution. Key Result Areas and Activities: Design, build, and deploy AI/ML solutions using modern cloud and data platforms. Lead data science projects across industries, ensuring alignment with business goals. Apply supervised, unsupervised, deep learning, and Generative AI (e.g., LLMs, agentic workflows) techniques to address client use cases. Collaborate with data engineering teams to optimize model pipelines using Delta Lake and Spark. Communicate findings effectively through data visualizations and stakeholder presentations. Drive adoption of MLOps practices for scalable and reliable model deployment. Contribute to the evolution of Infocepts' Data Science & AI offerings through innovation and knowledge sharing. Roles & Responsibilities Essential Skills 5+ years of experience in applied AI and machine/deep learning. Hands-on experience with Databricks, MLflow, PySpark, and Spark MLlib. Proficiency in Python and SQL for model development and data manipulation. Strong understanding of supervised and unsupervised learning, deep learning, and Generative AI. Familiarity with cloud platforms: AWS, Azure, and GCP. Solid foundation in advanced statistical methods and probabilistic analysis. Ability to lead end-to-end AI/ML projects, including design, development, and stakeholder management. Experience with visualization tools like Tableau, Power BI, or similar. Familiarity with ML workflow orchestration and MLOps practices. Desirable Skills Experience with LLMs (Large Language Models) and agentic AI workflows. Familiarity with modern data platforms like Snowflake. Exposure to real-time data processing in cloud-native environments. Contributions to open-source AI projects or publications in data science communities. Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field. Certifications in cloud platforms (AWS, Azure, GCP) or Databricks are a plus. Qualities: Able to consult, write, and present persuasively Able to work in a self-organized and cross-functional team Able to iterate based on new information, peer reviews, and feedback Able to work seamlessly with clients across multiple geographies Research focused mindset Excellent analytical, presentation, reporting, documentation and interactive skills "Infocepts is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law."
    $78k-108k yearly est. 4d ago
  • Data Engineer

    Strategic Staffing Solutions 4.8company rating

    Data scientist job in McLean, VA

    Data Management - Big Data/Machine Learning Engineer - Lead Duration: 2 years Pay- $75-$85/hr W2 ONLY, NO C2C Recommender is a key driver of Incremental PV for Campaign Arbitration on EASE creating over $400MM PV generated via Machine Learning optimization. For 2026 the platform will expand to support Email arbitration gating 100M emails/month. The platform RTE is expected to increase by 75% through expanded batch data and model training infra. The additional NAL will critically support RTE for the email expansion as well as add bench strength for campaign RTE. This will free up FTEs for Q1/Q2 KRs to produce the Replay framework and take ownership of the model training infrastructure. Basic Qualifications: Bachelor's Degree At least 3 years of experience in application development (Internship experience does not apply) At least 1 year of experience in big data technologies Preferred Qualifications: 5+ years of experience in application development including Python, SQL, Scala, or Java 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 2+ year experience working on real-time data and streaming applications 2+ years of experience with NoSQL implementation (Mongo, Cassandra) 2+ years of data warehousing experience (Redshift or Snowflake) 3+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices
    $75-85 hourly 4d ago
  • Operations Research Analyst

    Insight Global

    Data scientist job in Fort Meade, MD

    Job Title: ORSA Mon-Fri Day Shift Contract/Perm: 6-perm Clearance: TS/SCI Time left on gov't contract: 5 years Salary: $165K-$180K Day-To-Day: An employer is looking for an Operations Research Analyst to join the team at Fort Meade, MD. In this role, you will apply advanced analytical, mathematical, and statistical techniques to solve complex operational challenges and optimize organizational processes. Responsibilities include developing probability models, simulations, and predictive analytics; conducting quantitative and qualitative assessments; and creating data-driven solutions to support military decision-making. You will collaborate with cross-functional teams, analyze trends, forecast outcomes, and present actionable insights to stakeholders. The ideal candidate demonstrates strong quantitative skills, critical thinking, and proficiency in statistical software and programming, with the ability to communicate technical findings clearly and effectively. Must Haves: Active TS/SCI security clearance Bachelor's degree and 8-12 years' experience or Master's degree and 6-10 years' experience in Operations Research, Mathematics, Statistics, Computer Science, or a related field. Experience with specialized software such as MATLAB, SAS, or R. Familiarity with machine learning techniques and data mining. Experience with data analysis and statistical software.
    $165k-180k yearly 2d ago
  • Lead Data Engineer

    Ascendion

    Data scientist job in McLean, VA

    Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next. Ascendion | Engineering to elevate life We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us: Build the coolest tech for world's leading brands Solve complex problems - and learn new skills Experience the power of transforming digital engineering for Fortune 500 clients Master your craft with leading training programs and hands-on experience Experience a community of change makers! Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion. *** About the Role *** Job Title: Lead Data Engineer Key Responsibilities: Design, develop, and optimize scalable data pipelines using Spark and Databricks. Build and automate end-to-end ETL/ELT workflows using Airflow or similar orchestration tools. Develop, test, and maintain high-performance data processing solutions using Python. Work with data warehousing technologies such as Amazon Redshift or Snowflake to support analytics and reporting needs. Write complex and efficient SQL queries to transform, validate, and analyze large datasets. Collaborate with data architects, analysts, and cross-functional engineering teams to deliver reliable, high-quality data solutions. Monitor and improve pipeline performance, scalability, and data quality. Ensure adherence to data governance, security, and best engineering practices. Required Skills & Qualifications: 7+ years of hands-on experience as a Data Engineer or similar role. Strong experience with Apache Spark and distributed data processing. Expertise in Databricks for data engineering workflows. Proficiency in Python for data processing and automation. Solid experience with Airflow or other pipeline orchestration tools. Strong understanding of Data Warehousing concepts (Redshift or Snowflake preferred). Advanced SQL skills with experience in large-scale data operations. Experience working with cloud environments (AWS preferred). Strong problem-solving, communication, and collaboration skills. Nice-to-Have Skills: Experience with streaming technologies (Kafka, Kinesis). Knowledge of CI/CD for data pipelines. Familiarity with data modeling and governance frameworks. Location: Mclean, VA (3 days onsite) Salary Range: The salary for this position is between $130,000- $140,000 annually. Factors which may affect pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate. Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance] [dental insurance] [vision insurance] [401(k) retirement plan] [long-term disability insurance] [short-term disability insurance] [5 personal days accrued each calendar year. The Paid time off benefits meet the paid sick and safe time laws that pertains to the City/ State] [10-15 days of paid vacation time] [6 paid holidays and 1 floating holiday per calendar year] [Ascendion Learning Management System] Want to change the world? Let us know. Tell us about your experiences, education, and ambitions. Bring your knowledge, unique viewpoint, and creativity to the table. Let's talk!
    $130k-140k yearly 2d ago
  • Operations Research Analyst

    Apex Systems 4.6company rating

    Data scientist job in Fort Meade, MD

    Apex Systems is currently hiring for an Operations Research Analyst with one of our large government clients. Project Details / Mission Supported: Develop and apply probability models, statistical inference, simulations, optimization, data analysis, data visualization, and implement mathematical models to solve operational problems. Introduce quantitative and qualitative analysis, data analytics, and data science to military decision-making processes. Conduct analysis, assessments, and determine progress of Agency directives by developing measures of performance and measures of effectiveness. Qualified candidates will have the following experience and skills: 5+ years in data engineering, machine Learning or similar Implement scalable data pipelines and train and deploy ML model deployment frameworks Collaborate with data scientists to operationalize machine learning models Support enterprise-wide integration of Discover systems Develop solutions for credit card decisioning, fraud detection, and risk modeling Work across multiple business groups to deliver data-driven insights Title: Operations Research Analyst Location: Fort Meade, Maryland Onsite expectation: 100% Onsite Salary/Pay range: $65.00 - $75.00 / hourly on contract (salary upon conversion) PLEASE NOTE: Candidates must be able to obtain and/or maintain a Department of Defense TOP SECRET SCI CLEARANCE LEVEL security clearance as a condition and continuation of employment* If you are interested, please apply here or email an updated copy of your resume to Skylar Miller at *********************** Apex Systems Military & Veteran Programs: At Apex Systems, we are proud to support those who serve. Our commitment to the military community is reflected in our robust veteran hiring initiatives, military-friendly workplace policies, and nationally recognized programs. We value the leadership, discipline, and mission-first mindset that military professionals bring to our team. Join us in continuing your mission. Why Apex is a Top Choice for Veterans and Military Talent: Military-Friendly Employer: Recognized as a Military Friendly Employer for multiple consecutive years. Transition Programs: DoD Skill Bridge program with multiple pathway options. Veteran Hiring Commitment: We actively partner with multiple veteran and military organizations that specialize in IT upskilling and certification training, helping service members and veterans transition into high-demand tech careers Apex Military Network: Internal employee resource group supporting veterans, Guard/Reserve members, and their families. Apex Benefits Overview Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our ‘Welcome Packet' as well, which an Apex team member can provide. EEO Employer Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at ******************************** or ************. Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
    $65-75 hourly 4d ago
  • Data Engineer / Big data Engineer

    Pyramid Consulting, Inc. 4.1company rating

    Data scientist job in McLean, VA

    Immediate need for a talented Data Engineer / Big data Engineer. This is a 12 months contract opportunity with long-term potential and is located in Mclean, VA(Hybrid). Please review the job description below and contact me ASAP if you are interested. Job ID: 25-93504 Pay Range: $70 - $75/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: Design, develop, and maintain data pipelines leveraging Python, Spark/PySpark, and cloud-native services. Build and optimize data workflows, ETL processes, and transformations for large-scale structured and semi-structured datasets. Write advanced and efficient SQL queries against Snowflake, including joins, window functions, and performance tuning. Develop backend and automation tools using Golang and/or Python as needed. Implement scalable, secure, and high-quality data solutions across AWS services such as S3, Lambda, Glue, Step Functions, EMR, and CloudWatch. Troubleshoot complex production data issues, including pipeline failures, data quality gaps, and cloud environment challenges. Perform root-cause analysis and implement automation to prevent recurring issues. Collaborate with data scientists, analysts, platform engineers, and product teams to enable reliable, high-quality data access. Ensure compliance with enterprise governance, data quality, and cloud security standards. Participate in Agile ceremonies, code reviews, and DevOps practices to ensure high engineering quality. Key Requirements and Technology Experience: Proficiency in Python with experience building scalable data pipelines or ETL processes. Strong hands-on experience with Spark/PySpark for distributed data processing. Experience writing complex SQL queries (Snowflake preferred), including optimization and performance tuning. Working knowledge of AWS cloud services used in data engineering (S3, Glue, Lambda, EMR, Step Functions, CloudWatch, IAM). Experience with Golang for scripting, backend services, or performance-critical processes. Strong debugging, troubleshooting, and analytical skills across cloud and data ecosystems. Familiarity with CI/CD workflows, Git, and automated testing. Our client is a leading Banking and Financial Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.
    $70-75 hourly 4d ago
  • Senior Data Modeler

    Motion Recruitment 4.5company rating

    Data scientist job in Baltimore, MD

    6 Month Contract (Possible Extension or Contract-to-Hire) * Must be able to work on a W-2 * Must be able to work EST hours Job Description Seeking a seasoned Data Modeler to architect and operationalize scalable, governed data structures that transform raw, disparate data into trusted, analytics-ready assets. This role demands mastery of data modeling principles, normalization, and SQL-based transformations within modern cloud ecosystems (e.g., Snowflake). As a senior individual contributor, you will set modeling standards, influence cross-functional teams, and ensure data integrity, consistency, and performance across the enterprise. • Ability to collaborate closely with technical and business leaders to understand data requirements and deliver impactful solutions. • Ability to design data quality, data lineage, and data governance practices across the organization. • Ability to advocate for advanced data engineering tools, platforms, and technologies. • Ability to transfer knowledge and experience to junior staff. Key Responsibilities Data Architecture & Modeling • Design and maintain conceptual, logical, and physical data models that enable high-performance analytics and transactional workloads. • Normalize and optimize complex, raw, and semi-structured data into relational structures aligned with business and analytical requirements. • Own metadata and lineage: document entity relationships, definitions, and transformation logic to ensure transparency and reusability. Collaboration & Influence • Partner strategically with data engineers, analysts, and business stakeholders to translate requirements into scalable models and influence upstream design decisions. • Serve as SME for data modeling best practices; evangelize standards and mentor peers to elevate modeling maturity across teams. Implementation & Governance • Implement models in Snowflake and other cloud platforms, ensuring compliance with performance, security, and governance frameworks. • Champion automation: leverage dbt, Python, or orchestration tools to streamline model deployment and enforce version control. • Conduct proactive data profiling and quality checks to validate accuracy and integrity before production rollout. Innovation & Continuous Improvement • Lead POCs for modern modeling approaches-including semantic layers, ML-ready schemas, and hybrid architectures-and institutionalize successful patterns. • Continuously refine modeling standards, naming conventions, and governance policies to support evolving business needs. Mandatory Skills • 5+ years of experience in data modeling or database design, with proven ability to normalize complex datasets into optimized relational models. • Advanced SQL skills and strong understanding of ETL/ELT processes. • Hands-on experience with modern cloud data platforms (Snowflake preferred). Education • Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Desired Skills • Familiarity with data governance and cataloging tools (e.g., Collibra, Alation). • Experience with dbt or scripting (Python) for automated transformations and CI/CD workflows. • Strong communication skills to translate technical concepts into business language and influence stakeholders. You Will Receive The Following Benefits: Medical & Dental Insurance Health Savings Account (HSA) 401(k) Paid Sick Time Leave Pre-tax Commuter Benefit Applicants must be currently authorized to work in the United States on a full-time basis now and in the future. Motion Recruitment provides IT Staffing Solutions (Contract, Contract-to-Hire, and Direct Hire) in major North American markets. Our unique expertise in today's highest-demand tech skill sets, paired with our deep networks and knowledge of our local technology markets, results in an exemplary track record with candidates and clients.
    $92k-137k yearly est. 2d ago
  • Data Engineer

    CCS Global Tech 4.2company rating

    Data scientist job in McLean, VA

    Job Details: Job Title: Data Engineer Duration: Full time Clearance: Active Top Secret clearance MUST HAVE active Top Secret Clearance Degree in Computer Science, Data Engineering, or a related field is preferred; however, candidates with a strong mix of education and hands-on experience are encouraged to apply. 5+ years of experience in data engineering or backend systems development. Expertise in Python and frameworks such as R, Pandas, SQLAlchemy, PySpark, and RESTful API design. Proficient in writing and optimizing SQL queries and working with relational and non-relational databases (e.g., PostgreSQL, MongoDB, Redis). Familiarity with CI/CD workflows and Git. Experience creating, developing, testing, and sustaining databases. Experience with data conversion, migration, and conditioning. MUST HAVE Security+ Preferred Qualifications: Certifications in Python and other programming languages AWS certificates Previous work with Python code that accesses AWS resources. Experience designing and deploying cloud-native data architectures (AWS, OpenStack, or similar). Job Type: Full-time Education: Bachelor's (Required) Experience: PySpark: 2 years (Required) Python: 3 years (Required) License/Certification: CompTIA Security+ (Required) Security clearance: Top Secret (Required)
    $87k-124k yearly est. 1d ago
  • Sr Data Engineer

    Kamispro

    Data scientist job in Washington, DC

    The Senior Data Engineer will be instrumental in reshaping how data is collected, processed, and leveraged throughout the organization. This role centers on breaking down data silos, automating processes, and ensuring reliable data delivery to support critical business decisions. The engineer will lead initiatives to enhance data pipelines, strengthen infrastructure, and improve overall data quality, scalability, and performance. Operating in an Agile environment, this position requires close collaboration with cross-functional teams to design and implement innovative, data-driven solutions. The ideal candidate will possess strong technical expertise in Databricks, ETL development, and automated data workflows, with the ability to build and manage large-scale, high-efficiency data systems. Responsibilities Design, build, and maintain data pipelines and ETL processes using Databricks, SQL, and Python. Develop and optimize batch ETL workflows and integrate Kafka streaming solutions. Participate in Agile sprints to deliver scalable, mission-aligned data capabilities. Enhance data quality, governance, and consistency across multiple domains. Create, test, and deploy automated solutions for extracting, transforming, and loading data between systems. Engage in backlog refinement, sprint planning, and technical reviews to ensure alignment with business objectives. Drive continuous improvements in data infrastructure and analytics enablement. Build subject matter expertise in assigned business areas. Collaborate with developers to assess operational and reporting impacts throughout the SDLC. Requirements Bachelor's degree or equivalent experience (four additional years in lieu of degree). Minimum of 5 years of relevant experience; commercial experience preferred. Proficiency in Oracle PLSQL, SQL, Oracle OEM, and Cloudwatch. Strong background in data modeling, integration, and engineering. Hands-on experience with Databricks platform. Familiarity with data governance tools such as Alation. Skilled in Python or shell scripting. Excellent written and verbal communication skills. Strong analytical and problem-solving abilities. Ability to pass thorough background investigation
    $80k-109k yearly est. 3d ago
  • Data Engineer

    The Ash Group

    Data scientist job in Falls Church, VA

    *** W2 Contract Only - No C2C - No 3rd Parties *** The Ash Group is hiring a new Programmer Analyst Principal (Data Engineer) for our client (a global leader providing advanced systems and support in defense, aerospace, and security) based in Falls Church, VA. In this role, you'll be designing, implementing, and optimizing large-scale data systems and ETL pipelines, with a strong focus on using Amazon Redshift and AWS services to ensure data quality and integrity for complex defense programs. Compensation, Benefits, and Role Info Competitive pay rate of $65 per hour. Medical, dental, vision, direct primary care benefits, and, after six months of employment, a 4% matched 401(k) plan with immediate 100% vesting. Type: 12-month contract with potential extension or conversion. Location: On-site in Falls Church, VA. What You'll Be Doing Design and implement large-scale ETL data pipelines using AWS Glue and Python/PySpark to ingest, transform, and load data from various sources. Build and maintain robust data warehouses, focusing on Amazon Redshift, including data modeling and governance. Write and optimize complex, highly-performant SQL queries across large datasets (Redshift, Oracle, SQL Server). Collaborate with cross-functional teams (data scientists, analysts) to understand requirements and deliver end-to-end data solutions. Troubleshoot, optimize performance, and resolve data-related issues like pipeline failures and data quality bottlenecks. What We're Looking For 8+ years of hands-on experience in data engineering, focusing on designing and implementing large-scale data systems. 5+ years of experience in building production-level ETL pipelines using AWS Glue and Python/PySpark. Deep proficiency in SQL, including query optimization, indexing, and performance tuning across data warehouses like Amazon Redshift. Strong understanding of database design principles, data modeling (star/snowflake schemas), and data governance. Experience with data processing/orchestration frameworks such as Apache Airflow, Apache Kafka, or Fivetran. If you're a seasoned data engineering professional passionate about building scalable data solutions and driving innovation in cloud-based environments, we want to hear from you. This is an exciting opportunity to work on cutting-edge technologies, collaborate with cross-functional teams, and make a meaningful impact on data-driven decision-making. Apply now to be part of a forward-thinking organization where your expertise will shape the future of our data infrastructure. #DataEngineer #DataEngineering #AWSEngineer #Redshift #ETL #PySpark #DataPipeline #Westminster #ColoradoJobs #Contract
    $65 hourly 4d ago
  • Senior Data Engineer

    Zillion Technologies, Inc. 3.9company rating

    Data scientist job in McLean, VA

    The candidate must have 5+ years of hands on experience working with PySpark/Python, microservices architecture, AWS EKS, SQL, Postgres, DB2, Snowflake, Behave OR Cucumber frameworks, Pytest (unit testing), automation testing and regression testing. Experience with tools such as Jenkins, SonarQube AND/OR Fortify are preferred for this role. Experience in Angular and DevOps are nice to haves for this role. Must Have Qualifications: PySpark/Python based microservices, AWS EKS, Postgres SQL Database, Behave/Cucumber for automation, Pytest, Snowflake, Jenkins, SonarQube and Fortify. Responsibilities: Development of microservices based on Python, PySpark, AWS EKS, AWS Postgres for a data-oriented modernization project. New System: Python and PySpark, AWS Postgres DB, Behave/Cucumber for automation, and Pytest Perform System, functional and data analysis on the current system and create technical/functional requirement documents. Current System: Informatica, SAS, AutoSys, DB2 Write automated tests using Behave/cucumber, based on the new micro-services-based architecture Promote top code quality and solve issues related to performance tuning and scalability. Strong skills in DevOps, Docker/container-based deployments to AWS EKS using Jenkins and experience with SonarQube and Fortify. Able to communicate and engage with business teams and analyze the current business requirements (BRS documents) and create necessary data mappings. Preferred strong skills and experience in reporting applications development and data analysis Knowledge in Agile methodologies and technical documentation.
    $77k-109k yearly est. 3d ago
  • Azure Data Modeler

    Dexian

    Data scientist job in Washington, DC

    Azure Data Modeler - Budget Transformation Project Our client is embarking on a major budget transformation initiative and is seeking an experienced Azure Data Modeler to support data architecture, modeling, and migration activities. This role will play a critical part in designing and optimizing data structures as the organization transitions to SAP. Experience with SAP is preferred, but strong ERP data experience in any platform is also valuable. Responsibilities Design, develop, and optimize data models within the Microsoft Azure environment. Support data architecture needs across the budget transformation program. Partner with cross-functional stakeholders to enable the transition to SAP (or other ERP systems). Participate in data migration planning, execution, and validation efforts. Work collaboratively within SAFe Agile teams and support sprint activities. Provide off-hours support as needed for critical tasks and migration windows. Engage onsite in Washington, DC up to three days per week. Required Qualifications Strong hands-on expertise in data architecture and data model design. Proven experience working with Microsoft Azure (core requirement). Ability to work flexibly, including occasional off-hours support. Ability to be onsite in Washington, DC as needed (up to 3 days/week). Preferred Qualifications Experience with SAP ECC or exposure to SAP implementations. Experience with other major ERP systems (Oracle, Workday, etc.). SAFe Agile certification. Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support. Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit ******************** Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.
    $81k-111k yearly est. 1d ago
  • Data Scientist (U.S. Intelligence Community)

    Elder Research 3.9company rating

    Data scientist job in Fort Meade, MD

    Job Title: Data Scientist (U.S. Intelligence Community) Workplace: On-site (hands-on access to high impact data systems needed) Clearance Required: TS/SCI with Polygraph Why Join Elder Research * Mission-Driven Work: Support the U.S. Intelligence Community by building secure, scalable data systems that enable real-time insights. * Career Stability: We hire for careers, not contractsour work is growing * People-Focused Culture: We value work-life balance, collaboration, and professional growth. * Ownership Mindset: Every employee is a shareholder through our Employee Stock Ownership Plan (ESOP). * Competitive Pay & Benefits: * Typical salary range: $117k-$196K, depending on experience and contract labor category * 401(k) with employer contribution * Health, dental, and vision coverage * Paid parental leave and flexible PTO Ready to make an Impact? Message our recruiting team directly at:
    $117k-196k yearly 60d+ ago
  • Senior Data Engineer.

    Pyramid Consulting, Inc. 4.1company rating

    Data scientist job in McLean, VA

    Immediate need for a talented Senior Data Engineer. This is a 06+months contract opportunity with long-term potential and is located in Mclean, VA(Remote). Please review the job description below and contact me ASAP if you are interested. Job ID: 25-84666 Pay Range: $64 - $68/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: Demonstrate ability in implementing data warehouse solutions using modern data platforms such as Client, Databricks or Redshift. Build data integration solutions between transaction systems and analytics platforms. Expand data integration solutions to ingest data from internal and external sources and to further transform as per the business consumption needs. Develop tasks for a multitude of data patterns, e.g., real-time data integration, advanced analytics, machine learning, BI and reporting. Fundamental understanding of building of data products by data enrichment and ML. Act as a team player and share knowledge with the existing team members. Key Requirements and Technology Experience: Key skills; Python, AWS, SNOWFLAKE Bachelor's degree in computer science or a related field. Minimum 5 years of experience in building data driven solutions. At least 3 years of experience working with AWS services. Applicants must be authorized to work in the US without requiring employer sponsorship currently or in the future. U.S. FinTech does not offer H-1B sponsorship for this position. Expertise in real-time data solutions, good-to-have knowledge of streams processing, Message Oriented Platforms and ETL/ELT Tools. Strong scripting experience using Python and SQL. Working knowledge of foundational AWS compute, storage, networking and IAM. Understanding of Gen AI models, prompt engineering, RAG, fine tuning and pre-tuning will be a plus. Solid scripting experience in AWS using Lambda functions. Knowledge of CloudFormation template preferred. Hands-on experience with popular cloud-based data warehouse platforms such as Redshift and Client. Experience in building data pipelines with related understanding of data ingestion, transformation of structured, semi-structured and unstructured data across cloud services. Knowledge and understanding of data standards and principles to drive best practices around data management activities and solutions. Experience with one or more data integration tools such as Attunity (Qlik), AWS Glue ETL, Talend, Kafka etc. Strong understanding of data security - authorization, authentication, encryption, and network security. Hands on experience in using and extending machine learning framework and libraries, e.g, scikit-learn, PyTorch, TensorFlow, XGBoost etc. preferred. Experience with AWS SageMaker family of services or similar tools to develop machine learning models preferred. Strong written and verbal communication skills to facilitate meetings and workshops to collect data, functional and technology requirements, document processes, data flows, gap analysis, and associated data to support data management/governance related efforts. Acts with integrity and proactively seeks ways to ensure compliance with regulations, policies, and procedures. Demonstrated ability to be self-directed with excellent organization, analytical and interpersonal skills, and consistently meet or exceed deadline deliverables. Strong understanding of the importance and benefits of good data quality, and the ability to champion results across functions. Our client is a leading Financial Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here.
    $64-68 hourly 4d ago
  • Sr Data Analytics Engineer

    Kamispro

    Data scientist job in Washington, DC

    Hybrid Work Schedule: one day per week in DC + one day per month in Arlington Salary range: 125-145K The Senior Data Analytics Engineer is a key contributor in modernizing how data is accessed, processed, and leveraged throughout the enterprise. This role is responsible for breaking down data silos, streamlining workflows, and ensuring timely, reliable data availability to address critical business needs. Acting as a Data Engineer, you will lead initiatives to enhance data pipelines, strengthen infrastructure, and improve data quality, scalability, and resilience. Operating within an Agile framework, this position collaborates closely with cross-functional teams to design and deliver innovative, data-driven solutions. The ideal candidate will possess deep technical expertise in Databricks, ETL development, and automated data pipelines, with proven experience building and managing large-scale, high-performance data systems. Key Responsibilities - Examine complex datasets to identify trends, patterns, risks, and opportunities that inform strategic decisions. - Build intuitive dashboards and visualizations using Databricks and tools such as Tableau, Power BI, or Excel. - Produce detailed analytical reports that translate insights into actionable recommendations. - Perform data cleansing, transformation, and structuring to ensure accuracy and usability. - Write and optimize SQL queries for data validation and manipulation across multiple systems. - Apply foundational machine learning or predictive analytics techniques to support forward-looking insights. - Partner with stakeholders to gather requirements, refine deliverables, and align outputs with business objectives. - Participate in Agile ceremonies-such as backlog grooming, sprint planning, and testing-to ensure timely delivery of analytics solutions. - Contribute to cross-functional teams by providing analytical expertise and supporting SDLC activities, including user story documentation and functional testing. - Develop domain knowledge in assigned business areas to strengthen analytical interpretations and recommendations. Requirements - Ability to pass thorough background investigation - Bachelor's degree or equivalent experience (additional four years in lieu of degree) - Minimum 5 years of relevant professional experience - Proficiency in Oracle PLSQL, SQL, Oracle OEM, and Cloudwatch - Strong background in data modeling, integration, and engineering - Hands-on experience with Databricks platform - Familiarity with data governance tools (e.g., Alation) - Exposure to predictive analytics or machine learning frameworks - Scripting skills in Python or shell - Exceptional verbal and written communication skills - Strong analytical and problem-solving abilities
    $80k-109k yearly est. 2d ago
  • Cloud Data Engineer- Databricks

    Infocepts 3.7company rating

    Data scientist job in McLean, VA

    Purpose: We are seeking a highly skilled Cloud Data Engineer with deep expertise in Databricks and modern cloud platforms such as AWS, Azure, or GCP. This role is ideal for professionals who are passionate about building next-generation data platforms, optimizing complex data workflows, and enabling advanced analytics and AI in cloud-native environments. You'll have the opportunity to work with Fortune-500 organizations in data and analytics, helping them unlock the full potential of their data through innovative, scalable solutions. Key Result Areas and Activities: Design and implement robust, scalable data engineering solutions. Build and optimize data pipelines using Databricks, including serverless capabilities, Unity Catalog, and Mosaic AI. Collaborate with analytics and AI teams to enable real-time and batch data workflows. Support and improve cloud-native data platforms (AWS, Azure, GCP). Ensure adherence to best practices in data modeling, warehousing, and governance. Contribute to automation of data workflows using CI/CD, DevOps, or DataOps practices. Implement and maintain workflow orchestration tools like Apache Airflow and dbt. Roles & Responsibilities Essential Skills 4+ years of experience in data engineering with a focus on scalable solutions. Strong hands-on experience with Databricks in a cloud environment. Proficiency in Spark and Python for data processing. Solid understanding of data modeling, data warehousing, and architecture principles. Experience working with at least one major cloud provider (AWS, Azure, or GCP). Familiarity with CI/CD pipelines and data workflow automation. Desirable Skills Direct experience with Unity Catalog and Mosaic AI within Databricks. Working knowledge of DevOps/DataOps principles in a data engineering context. Exposure to Apache Airflow, dbt, and modern data orchestration frameworks. Qualifications Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field. Relevant certifications in cloud platforms (AWS/Azure/GCP) or Databricks are a plus. Qualities: Able to consult, write, and present persuasively Able to work in a self-organized and cross-functional team Able to iterate based on new information, peer reviews, and feedback Able to work seamlessly with clients across multiple geographies Research focused mindset Excellent analytical, presentation, reporting, documentation and interactive skills "Infocepts is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law."
    $77k-105k yearly est. 4d ago

Learn more about data scientist jobs

How much does a data scientist earn in Baltimore, MD?

The average data scientist in Baltimore, MD earns between $63,000 and $120,000 annually. This compares to the national average data scientist range of $75,000 to $148,000.

Average data scientist salary in Baltimore, MD

$87,000

What are the biggest employers of Data Scientists in Baltimore, MD?

The biggest employers of Data Scientists in Baltimore, MD are:
  1. Deloitte
  2. Jobs Partner
  3. Pwc
  4. Mercor
  5. Johns Hopkins University
  6. Northrop Grumman
  7. Kepora
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