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  • EY-Parthenon - Strategy and Execution - Growth Platforms - Data Scientist - Director

    Ernst & Young Oman 4.7company rating

    Data scientist job in McLean, VA

    Location: Atlanta, Boston, Chicago, Dallas, Denver, Detroit, Houston, Los Angeles, McLean, New York, Hoboken, Philadelphia, San Francisco, Seattle At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. EY-Parthenon - EY Growth Platforms - Data Scientist - Director The opportunity EY-Parthenon's unique combination of transformative strategy, transactions and corporate finance delivers real-world value - solutions that work in practice, not just on paper. Benefiting from EY's full spectrum of services, we've reimagined strategic consulting to work in a world of increasing complexity. With deep functional and sector expertise, paired with innovative AI-powered technology and an investor mindset, we partner with CEOs, Boards, Private Equity and Governments every step of the way - enabling you to shape your future with confidence. Within the EY-Parthenon service line, the EY Growth Platforms Data Scientist Director will collaborate with Business Leaders, AI/ML Engineers, Project Managers, and other team members to design, build, and scale innovative AI solutions that power strategic growth initiatives and create enterprise value for F500 clients. Your key responsibilities The EY Growth Platforms Data Scientist Director will play a critical role building and scaling our multi-source data pipelines- sourcing, merging, and transforming data assets that power high-visibility client engagements. This role will architect, clean, transform, and enrich data to power AI/ML-driven agents and dashboards, and collaborate with Business leaders and C-level executives to get hands-on experience solving some of the most interesting and mission-critical business questions with data. Skills and attributes for success · Lead ingestion and ETL design for structured and semi-structured data (CSV, JSON, APIs, Flat Files). · Understand schema, data quality, and transformation logic for multiple sources on a client-by-client like NAIC, NOAA, Google Trends, EBRI, Cannex, LIMRA, and internal client logs. · Design normalization and joining pipelines across vertical domains (insurance + consumer + economic data). · Build data access layers optimized for ML (feature stores, event streams, vector stores). · Define and enforce standards for data provenance, quality checks, logging, and version control. · Partner with AI/ML and Platform teams to ensure data is ML- and privacy-ready (HIPAA, SOC2, etc.). To qualify for the role you must have · A bachelor's degree in Business, Statistics, Economics, Mathematics, Engineering, Computer Science, Analytics, or other related field and 5 years of related work experience; or a graduate degree and approximately 3 years of related work experience. · Experience in data engineering or hybrid data science roles focused on pipeline scalability and schema management. · Expertise in cloud-native data infrastructure (e.g., GCP/AWS, Snowflake, BigQuery, Databricks, Delta Lake). · Strong SQL/Python/Scala proficiency and experience with orchestration tools (Airflow, dbt). · Experience with merging and reconciling third-party data (public APIs, vendor flat files, dashboards). · Comfort defining semantic layers and mapping unstructured/dirty datasets into usable models for AI/BI use. · Basic understanding of ML/feature pipelines and downstream modeling needs. · The ability and willingness to travel and work in excess of standard hours when necessary. Ideally, you will have · Experience working in a startup and/or management/strategy consulting. · Knowledge of how to leverage AI tools in a business setting, including Microsoft Copilot. · Collaborative, problem-solving, and growth-oriented mindset. What we look for We're interested in passionate leaders with strong vision and a desire to stay on top of trends in the Data Science and Big Data industry. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you. What we offer you At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $205,000 to $235,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at **************************. #J-18808-Ljbffr
    $73k-105k yearly est. 2d ago
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  • Principal Data Scientist: ML & Big Data for Card Products

    Capital One 4.7company rating

    Data scientist job in McLean, VA

    A leading financial services company seeks a Data Scientist to leverage advanced analytics and machine learning techniques. The role demands a strong background in Python, AWS, and statistical modeling, requiring a bachelor's degree in a quantitative field and relevant experience in data analytics. The candidate will work cross-functionally to translate complex data into actionable insights for customers. A competitive benefits package is offered. #J-18808-Ljbffr
    $69k-89k yearly est. 2d ago
  • Delivery Consultant - Data Engineer, Data and Machine Learning, WWPS US Federal

    Amazon 4.7company rating

    Data scientist job in Herndon, VA

    The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. It is expected to work from one of the above locations (or customer sites) Monday through Friday each week. This is not a remote position. You are expected to be in the office or with customers as needed. This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work. 10040 Key job responsibilities As an experienced technology professional, you will be responsible for: - Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs - Providing technical guidance and troubleshooting support throughout project delivery - Collaborating with stakeholders to gather requirements and propose effective migration strategies - Acting as a trusted advisor to customers on industry trends and emerging technologies - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications - Bachelor's degree in Computer Science, Engineering, a related technical field or equivalent - 3+ years of cloud architecture and solution implementation experience - 3+ years of experience with data warehouse architecture, ETL/ELT tools, data engineering, and large-scale data manipulation using technologies like Spark, EMR, Hive, Kafka, and Redshift. - Experience with relational databases, SQL, and performance tuning, as well as software engineering best practices for the development lifecycle, including coding standards, reviews, source control, and testing. - Current, active US Government Security Clearance of TS/SCI with Polygraph. Preferred Qualifications - AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred. - Experience with automation and scripting (e.g., Terraform, Python). - Knowledge of security and compliance standards (e.g., HIPAA, GDPR). - Experience leading large-scale data engineering and analytics projects using AWS technologies like Redshift, S3, Glue, EMR, Kinesis, Firehose, and Lambda. - Experience with non-relational databases and implementing data governance solutions. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************* . This position will remain posted until filled. Applicants should apply via our internal or external career site.
    $118.2k-204.3k yearly 5d ago
  • Senior Data Scientist- Gen AI

    Tiger Analytics 4.2company rating

    Data scientist job in Charlotte, NC

    Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are seeking an experienced Senior Data Scientist with 6-10 years of expertise to join our team. You will leverage advanced data science techniques, generative AI concepts, and NLP expertise to solve complex business problems and drive measurable impact aligned with our leadership's vision. Key Responsibilities Design and implement data science solutions to address business challenges using advanced problem-solving methodologies and statistical techniques. Develop, train, and deploy machine learning models with a focus on generative AI and large language models (LLMs) Work with text and transcription data to build NLP-based solutions that enhance product capabilities and user experience. Partner with cross-functional teams including engineering, product, and business stakeholders to identify process and workflow gaps, analyze root causes using data science techniques, and architect scalable solutions that drive operational efficiency and business value. Stay at the forefront of AI/NLP advancements and evaluate new algorithms for potential business applications Create comprehensive documentation and present findings to stakeholders, ensuring alignment with organizational objectives Requirements 6-10 years of professional experience as a Data Scientist or in a closely related role Strong Problem-Solving Skills: Demonstrated ability to approach complex business and technical challenges using data science methodologies and statistical techniques Proficiency in Python and SQL: Hands-on experience in writing production-grade code, data manipulation, and querying large databases Expertise in NLP: Proven experience working with text and transcription data, including preprocessing, feature engineering, and model development Generative AI Knowledge: Solid understanding of latest-generation AI concepts including LLMs, prompt engineering, retrieval-augmented generation (RAG), and other contemporary generative AI applications Curiosity and Continuous Learning: Passionate about staying current with emerging trends, research papers, and advancements in NLP and AI Strategic Alignment: Ability to understand organizational vision and strategy, translating it into data-driven initiatives that create positive business impact Strong Communication: Ability to articulate complex technical concepts to both technical and non-technical audiences. Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
    $86k-118k yearly est. 3d ago
  • Snowflake Data Engineer

    GAC Solutions

    Data scientist job in Nashville, TN

    Data Engineering: Utilize your ETL/Data Engineering expertise in Databricks, Snowflake and Cloud data services to build and maintain robust data solutions. Lead the evaluation of various catalogs and query engines for the Data Lakehouse platform, documenting findings and reviewing them with the architecture teams. SQL, Python, and strong knowledge of the SDLC are required. Build and manage dozens of data pipelines to source and transform data based on business requirements. Financial Data Analysis: Apply your knowledge in financial data analysis, risk, and compliance data management to support our financial services customers. Data Analysis and Discovery: Leverage Databricks and Snowflake for data analysis and discovery, ensuring data is accessible and actionable. Leverage 10+ sources of data to derive insights. Innovation and Learning: Quickly learn new technologies by applying your current skills, staying ahead of industry trends and advancements. Self-identify the need for new skills to be developed and adopt new technologies into your skill set in a month's time. Client Collaboration: Work closely with financial services clients to build modern data solutions that transform how they leverage data for key business decisions, investment portfolio performance analysis, and risk and compliance management. Manage multiple stakeholder groups and their requirements.
    $70k-94k yearly est. 3d ago
  • Data Engineer / Data Scientist / Data Architect - Full time

    Ztek Consulting 4.3company rating

    Data scientist job in Vienna, VA

    Below are the 3 roles open: 1) Data Engineer 2) Data Scientist 3) Data Architect Job Descriptions: Data Engineer Design, build, and optimize batch and real-time data pipelines using Python, SQL, Airflow, Kafka, and AWS Glue Lead scalable ETL and data lake architectures across distributed cloud environments Ensure data quality, governance, security, and compliance while supporting analytics and data science needs Mentor junior engineers and collaborate with stakeholders to deliver reliable, well-documented data solutions Data Scientist 3+ years of experience in statistical modeling and applied data analysis, including regression, classification, clustering, and time-series analysis Proficient in Python or R, with hands-on experience in data wrangling, visualization, and model development Strong experience with SQL/Spark SQL, basic data modeling, and cloud platforms (AWS, Azure, or GCP) Excellent ability to communicate complex insights and manage multiple priorities effectively Data Architect: Lead and mentor data engineering teams while architecting and building enterprise-scale data platforms from design through production Develop and optimize production-grade ETL/ELT pipelines, data models, and data warehouses using Python, SQL, PySpark, and cloud platforms (AWS/GCP) Implement CI/CD, data governance, quality frameworks, and secure, compliant data solutions aligned with federal/VA standards Collaborate with cross-functional stakeholders to translate business requirements into scalable, high-quality data solutions
    $84k-119k yearly est. 3d ago
  • Data Scientist

    Lancesoft 4.5company rating

    Data scientist job in Parkton, NC

    Title: Data Scientist Duration: 0 -12 Months Shift: 8am-5pm Monday through Friday Rate: $51.00/Hour Job Duties / Responsibilities Design, develop, and optimize Retrieval-Augmented Generation (RAG) models and knowledge graphs to solve complex business problems and enhance decision-making Manage and optimize vector databases and advanced indexing techniques to support efficient information retrieval in conversational AI systems Fine-tune and optimize Large Language Models (LLMs) for improved performance, scalability, and reliability Implement and experiment with cutting-edge NLP and related techniques to enhance AI product capabilities Collaborate with cross-functional teams, including business stakeholders, platform engineers, and software engineers, to integrate GenAI solutions into production systems Build and deliver data visualizations, applications, websites, and analytical outputs to effectively communicate insights Present findings and recommendations through clear reports and presentations to technical and non-technical audiences Stay current with the latest Generative AI and data science advancements by actively engaging with the broader data science community Qualifications Education Master's or Ph.D. In Computer Science, Data Science, Machine Learning, or a related field Experience & Skills Proven experience in NLP and developing and deploying Generative AI (GenAI) models in commercial business environments Strong expertise in LLM prompt engineering and familiarity with LLM-based workflows and architectures Experience handling natural language data and building text- and number-based products using traditional and advanced NLP techniques (text mining, word embeddings, transformer-based models) Strong programming skills in Python, R, or similar languages Experience with data manipulation and analysis using SQL, Pandas, and NumPy Solid understanding of statistical analysis and data visualization, with hands-on experience using Power BI, Tableau, or similar tools Experience with Databricks, MLflow, Azure, endpoint deployment, LangChain, LlamaIndex, Hugging Face, or similar platforms Knowledge of encoder-decoder architectures, diffusion models, or related techniques (preferred) Excellent problem-solving skills with the ability to work independently and collaboratively Strong communication skills, including the ability to explain complex technical concepts to non-technical stakeholders Preferred Qualifications Experience with NLP, computer vision, foundation model fine-tuning, and deep learning applications Familiarity with cloud platforms, particularly Azure Experience in project management and leading data science initiatives Additional Requirements Drug screening required (no additional medical exams)
    $51 hourly 7d ago
  • Data Scientist

    Nextwave Resources 4.4company rating

    Data scientist job in Durham, NC

    Temp Data Scientist - Boston, MA or NC, NH, RI, TX, MA, or CO (18 month contract- probable extension or permanent conversion) Notes: Master's Degree Required Python development to build time series models Run SQL queries Linux OS administration Any web development experience preferred. Experience working with Artificial Intelligence, Machine learning algorithms, neural networks, decision trees, modeling, Cloud Machine Learning, time series analysis and robotics process automation. Description: We are seeking a hands-on experienced data scientist with financial services industry experience. As part of a small, nimble team, the associate's key differentiating abilities will be exceptional analytical skills, and an ability to conceive of and develop differentiated products for the benefit of customers. Absolutely critical is the associate's ability to carry an initiative from idea through to execution. 5+ years' experience in Information security/technology risk management for large-scale, complex IT infrastructures and distributed environments or an equivalent combination of related training and experience Analytic Skills: In addition to core regression, classification and time series skills that accompany the data science role, experience with next best action (NBA) prediction, multi-armed bandits, online learning, A/B testing, and experimentation methods are preferred Natural programmer, and confirmed industry experience with statistics and data modeling Experience with one or more of the following tools/frameworks - python, scikit-learn, nltk, pandas, numpy, R, pyspark, scala, SQL/big data tools, TensorFlow, PyTorch, etc Education- At least one advanced degree (Master or PhD level) in a technical or mathematically-oriented discipline, e.g., coursework or experience in fields such as statistics, machine learning, computer science, applied mathematics, econometrics, engineering, etc. Extensive experience in written and oral communications/presentations, and ability to produce a variety of business documents (business requirements, technical specs, slide presentations, etc.) that demonstrate command of language, clarity of thought, and orderliness of presentation We are looking for an authority quantitative developer to advance the research and development of AI/ML methods as components in the delivery of creative investment management technology solutions. You will have experience combining multi-variate statistical modeling, predictive machine learning methods and open-source approaches to Cloud computing and Big Data.
    $70k-100k yearly est. 60d+ ago
  • Data Scientist

    Elder Research 3.9company rating

    Data scientist job in Arlington, VA

    General Information Requisition # 642 Locations USA-VA-Arlington - Hybrid, USA-DC-Washington - Hybrid, USA-MD-Maryland - Hybrid, USA-VA-Virginia - Hybrid, USA - Remote - Eastern Time Zone Posting Date 01/22/2026 Security Clearance Required - Active IRS Public Trust w/ Background Investigation Remote Type Onsite/Hybrid Time Type Full time Description & Requirements As a Data Scientist, you will support the Internal Revenue Services mission to improve tax compliance, fraud detection, and risk identification across large, complex tax and financial data environments. You will work directly with government clients, program managers, and technical teams to understand business and compliance challenges, design analytical approaches, and deliver data-driven solutions that inform enforcement, audit prioritization, and fraud prevention efforts. In this role, you will develop, test, and deploy predictive and statistical models using structured and unstructured data to identify anomalies, non-compliance risk, and potential fraud within tax records and related datasets. You will contribute across the full data science lifecycle, from problem formulation and data exploration through model validation, deployment, and stakeholder communication. Responsibilities include but are not limited to: * Prior programming experience, preferably in Python or R, including data exploration, feature engineering, and model development * Explore, clean, and wrangle large, complex datasets to uncover insights and identify opportunities for data sciencedriven solutions in support assessments, gap analyses, and actionable recommendations for IRS stakeholders * Design, develop, test, and implement quantitative and qualitative data science solutions that are modular, maintainable, and adaptable to evolving government and regulatory requirements * Demonstrated experience using Python, SQL, and Databricks for data analysis, modeling, and statistical evaluation * Apply statistical and machine learning techniques to anomaly detection, fraud identification, and non-compliance risk scoring, including supervised and unsupervised approaches to help prioritize cases based on compliance risk, fraud indicators and business impact * Develop and evaluate predictive risk models used to support audit selection, refund review, and fraud prevention initiatives * Test and validate models using robustness, sensitivity, and significance testing, ensuring defensible and explainable results * Write modular, reusable, and well-documented code within an iterative development process that includes peer review and collaboration * Collaborate with clients, subject matter experts, and cross-functional teams to refine problem statements, requirements, and analytical approaches * Prepare and deliver technical and non-technical briefings, reports, and presentations to audiences with varying levels of analytical sophistication * Demonstrated ability to work independently in a collaborative, fast-paced environment * Strong interpersonal, written, and verbal communication skills, with the ability to translate business and compliance needs into technical solutions * Experience using Markdown for technical documentation Minimum Qualifications * Bachelor of Science degree in a relevant field such as statistics, computer science, economics, mathematics, analytics, data science, business, or social sciences * 2-10+ years of experience in data science, analytics, or a related technical field * Experience using version control systems (e.g., Git) and collaborative development practices * Strong understanding of relational databases and SQL * Comfortable learning new tools, methodologies, and domains, including working outside your comfort zone * Strong analytical mindset with a willingness to tackle complex mathematical and statistical challenges * Willingness to travel and work on-site at client locations as required by project needs Preferred Qualifications * Advanced degree (MS or PhD) in statistics, computer science, data science, mathematics, analytics, engineering, or related fields * Experience with PySpark, Unity Catalog, and Jobs in DataBricks * Experience with Natural Language Processing (NLP) and text analytics applied to unstructured documents or case notes * Experience with graph analytics and network analysis to identify relationships, fraud rings, or interconnected entities * Familiarity with platforms and tools such as Databricks, and AWS * Experience with containerization and environment management (e.g., venv, conda) * Understanding of the data analytics lifecycle (e.g., CRISP-DM) * Experience applying advanced statistical concepts including sampling considerations, bias detection, weighting techniques, handling missing or outlier data, exploratory analysis, and longitudinal forecasting * Experience operating in secure or remote government environments, including use of bash and command-line tools Clearance & Other Requirements * Must currently possess an IRS Public Trust clearance with Full Background Investigation Physical Requirements: * Must be able to remain in a stationary position 50% * Needs to occasionally move about inside the office to access file cabinets, office machinery, etc. * Frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations Why apply to this position at Elder Research? * Competitive Salary and Benefits * Important Work / Make a Difference supporting U.S. national security. * Job Stability: Elder Research is not a typical government contractor, we hire you for a career not just a contract. * People-Focused Culture: we prioritize work-life-balance and provide a supportive, positive, and collaborative work environment as well as opportunities for professional growth and advancement.
    $76k-111k yearly est. 7d ago
  • Data Scientist

    People Technology and Processes 4.2company rating

    Data scientist job in Arlington, VA

    Data Scientist Clearance Level: Secret Responsibilities will include, but are not limited to: Serve as a primary facilitator for preparation, execution and follow up for all Planning, Programming, and Budgeting Committee - Guard (PPBC-G) forums (General Officer / Strategic Level forums), to include Resourcing Council of Colonels (RCoC), Resource Integration Steering Committee (RISC). Coordinates across Army National Guard Bureau staffs to develop topics, products, and presentations for submission to the PPBC-G process. Support the design, development, and execution of all data analytic efforts led by the GS-13 Data Scientist as directed by the DAG-R Division Chief/Deputy Division Chief in support of the Chief Financial Officer's analytic agenda. Provide expertise on ARNG Roles, Missions, Authorities and Army strategic guidance and key planning efforts such as The Army Plan (TAP), Total Army Analysis (TAA), the Army Equipment Modernization Strategy (AEMS), and the Long-Range Investment Requirements Analysis (LIRA). Develop and enhance websites, applications, and secure access to databases based upon requirements for analytic efforts as approved by the COR. Customers include the CFO, ARNG G-8, DAG-R, ARNG Directorate Office of Primary Responsibility (OPR) for program portfolio's, and National-level Program Managers (NPMs). Qualifications Required qualifications Bachelor's Degree in related field of study or equivalent experience. Minimum of four years of experience, two within the DoD working with big-data systems and developing production-level data models . Possess skills and expertise in machine learning tools to select features, create, and optimize classifiers. Possess demonstrable collegiate-level writing skills, demonstrated familiarity with the U.S. Army organization and regulations, and strong organization and communication skills. Demonstrate practical experience substantiating equivalent skills such as Structured Query Language, Microsoft Excel, R or Python statistical programming, Data Visualization, and Presentation Skills. Prior knowledge of Power BI, Tableau, and Advana data science is preferred
    $71k-95k yearly est. 18d ago
  • Data Scientist (FSP)

    Red Rock Government Services 3.7company rating

    Data scientist job in Herndon, VA

    Red Rock Government Services is a leading software engineering company recognized for its exceptional support to the intelligence community. With a proven track record of delivering innovative and mission-critical solutions, Red Rock specializes in developing secure, scalable, and cutting-edge technologies tailored to meet the complex needs of intelligence operations. The company's expertise in advanced analytics, cloud computing, and artificial intelligence enables it to empower agencies with enhanced decision-making capabilities and operational efficiency. Red Rock's commitment to excellence, agility, and collaboration solidifies its reputation as a trusted partner in safeguarding national security and advancing intelligence objectives. This position requires a current and active TS/SCI with Full Scope Polygraph security clearance. This position does not have the ability to sponsor candidates for clearance processing. RedRock is seeking a Data Scientist to join our team of diverse and qualified professionals. The role focuses on supporting the Sponsor's mission by delivering advanced language training to ensure proficiency across a broad spectrum of languages for the Sponsor's employees. Responsibilities: Works closely with the Sponsor to gather requirements and advise on AWS infrastructure design, development, and deployment of Cloud resources. Designs, tests, and implements log aggregation in support of Cloud and AWS systems. Designs, tests, and implements search and visualization infrastructure in support of AWS systems. Works with vendors to develop and deploy Cloud based solutions to the learning environment in AWS. Acts as a liaison between the Customer and Vendor Contacts to troubleshoot AWS when deploying new resources. Recommends new technologies for use in the cloud environment (AWS). Communicates IT requirements between management and technical entities. Qualifications: Experience in risk management and ability to identify project risks and facilitate the development and implementation of mitigation strategies Experience implementing and integrating AWS solutions. Experience in gathering requirements from vendor contacts and customers. Experience using Linux in the AWS environment. Experience with scripting and web programming technologies required to support web-based learning systems, such as PHP, PERL, Java, Jscript, or PowerShell. Experience deploying third party software products. Experience with Software Configuration Management (SCCM). Experience working with desktop and network hardware. Location: Herndon, VA Pay and Benefits: Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Paid Leave and Retirement. Commitment to Diversity: All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.
    $78k-112k yearly est. 60d+ ago
  • Principal Data Scientist (Compliance)

    Navy Federal Credit Union 4.7company rating

    Data scientist job in Vienna, VA

    Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must be authorized to work in the United States without the need for current or future sponsorship. Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for Compliance. Understand business needs and identify opportunities for improvements to products, services, and processes to meet business objectives using cutting-edge data science. Develop artificial intelligence models and insights to drive impact across the organization. Regarded as an advanced professional in the data science field. Conduct complex work under minimal supervision and with wide latitude for independent judgment. Individual contributor and mentor to junior staff. 6+ years of experience with requisite competencies Complete knowledge and full understanding of specialization Statistics, machine learning, data mining, data auditing, aggregation, reconciliation, and visualization Advanced knowledge of natural language processing, sentiment analysis, anomaly detection, geospatial analytics, etc. Understanding of data models, large datasets, business/technical requirements, BI tools, statistical programming languages and libraries Programming, data modeling, simulation, and advanced mathematics Advanced knowledge of SQL, R, Python, Microsoft Azure, and Databricks Model lifecycle execution Technical writing Data storytelling and technical presentation skills Research Skills Interpersonal Skills Advanced knowledge of procedures, instructions and validation techniques Model Development Communication Critical Thinking Collaborate and Build Relationships Initiative with sound judgement Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.) Independent Judgment Problem Solving (Identifies the constraints and risks) Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields Desired Qualifications: Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or Engineering Familiar with Data Integration, Data Governance and Data Warehousing Familiar with project management concepts and frameworks such as Agile Frameworks (SAFE), Communication Strategy and Management, Delivery Excellence and Requirements management Hours: Available Monday - Friday, 8:00AM - 4:30PM Location: 820 Follin Lane, Vienna, VA 22180 Design, develop, and evaluate natural language processing, sentiment analysis, anomaly detection, geospatial analytics, etc. Design, develop, and evaluate large and complex predictive models and advanced algorithms Test hypotheses/models, analyze, and interpret results Develop actionable insights and recommendations Develop and code complex software programs, algorithms, and automated processes Use evaluation, judgment, and interpretation to select right course of action Work on problems of diverse scope where analysis of information requires evaluation of identifiable factors Produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets Transform data into charts, tables, or format that aids effective decision making Utilize effective written and verbal communication to document analyses and present findings analyses to a diverse audience of stakeholders Develop and maintain strong working relationships with team members, subject matter experts, and leaders Lead moderate to large projects and initiatives Model best practices and ethical AI Works with senior management on complex issues Assist with the development and enhancement practices, procedures, and instructions Serve as technical resource for other team members Mentor lower levels
    $72k-95k yearly est. Auto-Apply 7d ago
  • Principal Data Scientist - Model Risk & ML Innovation

    Capital One 4.7company rating

    Data scientist job in McLean, VA

    A leading financial services company in McLean, Virginia, is seeking an experienced data analyst to develop machine learning models and partner with cross-functional teams. The ideal candidate has a Bachelor's Degree in a quantitative field and at least 5 years of relevant experience, with strong proficiency in Python, SQL, and AWS. Responsibilities include leveraging technology to derive insights from data and staying current with industry advancements. This role offers a comprehensive benefits package and a supportive work environment. #J-18808-Ljbffr
    $69k-89k yearly est. 2d ago
  • Delivery Consultant - Data Engineer, Data and Machine Learning, WWPS US Federal

    Amazon 4.7company rating

    Data scientist job in Arlington, VA

    The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. It is expected to work from one of the above locations (or customer sites) Monday through Friday each week. This is not a remote position. You are expected to be in the office or with customers as needed. This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work. 10040 Key job responsibilities As an experienced technology professional, you will be responsible for: - Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs - Providing technical guidance and troubleshooting support throughout project delivery - Collaborating with stakeholders to gather requirements and propose effective migration strategies - Acting as a trusted advisor to customers on industry trends and emerging technologies - Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications - Bachelor's degree in Computer Science, Engineering, a related technical field or equivalent - 3+ years of cloud architecture and solution implementation experience - 3+ years of experience with data warehouse architecture, ETL/ELT tools, data engineering, and large-scale data manipulation using technologies like Spark, EMR, Hive, Kafka, and Redshift. - Experience with relational databases, SQL, and performance tuning, as well as software engineering best practices for the development lifecycle, including coding standards, reviews, source control, and testing. - Current, active US Government Security Clearance of TS/SCI with Polygraph. Preferred Qualifications - AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred. - Experience with automation and scripting (e.g., Terraform, Python). - Knowledge of security and compliance standards (e.g., HIPAA, GDPR). - Experience leading large-scale data engineering and analytics projects using AWS technologies like Redshift, S3, Glue, EMR, Kinesis, Firehose, and Lambda. - Experience with non-relational databases and implementing data governance solutions. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************* . This position will remain posted until filled. Applicants should apply via our internal or external career site.
    $118.2k-204.3k yearly 5d ago
  • Snowflake Data Engineer

    GAC Solutions

    Data scientist job in Nashville, TN

    Experience: At least 5 years of experience in data engineering. Technical Skills: Proficiency in Snowflake and Cloud data services. 5+ years of experience working with cloud services. 2+ years of experience working with Databricks or Snowflake. 3+ years working with PySpark. Proficiency in the following areas: Data Warehousing: Strong knowledge of data warehousing concepts. Python or Java: Advanced skills in Python or Java programming for data engineering and data pipelines. Data Integration: Proficiency in integrating data from various sources. Data Platforms: Strong knowledge of data modeling, storage and design within Snowflake.
    $70k-94k yearly est. 2d ago
  • Data Scientist (FSP)

    Red Rock Government Services 3.7company rating

    Data scientist job in Herndon, VA

    Job Description Red Rock Government Services is a leading software engineering company recognized for its exceptional support to the intelligence community. With a proven track record of delivering innovative and mission-critical solutions, Red Rock specializes in developing secure, scalable, and cutting-edge technologies tailored to meet the complex needs of intelligence operations. The company's expertise in advanced analytics, cloud computing, and artificial intelligence enables it to empower agencies with enhanced decision-making capabilities and operational efficiency. Red Rock's commitment to excellence, agility, and collaboration solidifies its reputation as a trusted partner in safeguarding national security and advancing intelligence objectives. This position requires a current and active TS/SCI with Full Scope Polygraph security clearance. This position does not have the ability to sponsor candidates for clearance processing. RedRock is seeking a Data Scientist to join our team of diverse and qualified professionals. The role focuses on supporting the Sponsor's mission by delivering advanced language training to ensure proficiency across a broad spectrum of languages for the Sponsor's employees. Responsibilities: Works closely with the Sponsor to gather requirements and advise on AWS infrastructure design, development, and deployment of Cloud resources. Designs, tests, and implements log aggregation in support of Cloud and AWS systems. Designs, tests, and implements search and visualization infrastructure in support of AWS systems. Works with vendors to develop and deploy Cloud based solutions to the learning environment in AWS. Acts as a liaison between the Customer and Vendor Contacts to troubleshoot AWS when deploying new resources. Recommends new technologies for use in the cloud environment (AWS). Communicates IT requirements between management and technical entities. Qualifications: Experience in risk management and ability to identify project risks and facilitate the development and implementation of mitigation strategies Experience implementing and integrating AWS solutions. Experience in gathering requirements from vendor contacts and customers. Experience using Linux in the AWS environment. Experience with scripting and web programming technologies required to support web-based learning systems, such as PHP, PERL, Java, Jscript, or PowerShell. Experience deploying third party software products. Experience with Software Configuration Management (SCCM). Experience working with desktop and network hardware. Location: Herndon, VA Pay and Benefits: Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Paid Leave and Retirement. Commitment to Diversity: All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.
    $78k-112k yearly est. 1d ago
  • Data Scientist

    Navy Federal 4.7company rating

    Data scientist job in Virginia

    The Data Analytics and Reporting team at NFFG develops scalable analytics solutions that support investment strategy, member engagement, and business performance. This role involves building predictive models and applying mathematical optimization to improve targeting and decision-making. Responsibilities also include automating data pipelines and workflows, developing interactive dashboards, and producing recurring reports that deliver clear, actionable insights. Success in this role requires strong technical skills, business understanding, and the ability to communicate analytical findings effectively across teams Responsibilities Develop and deploy predictive models (classification, regression, clustering, time series) to support investment behavior analysis and member targeting. Automate data pipelines and modeling workflows for scalable deployment across data channels. Develop interactive dashboards to visualize key trends and model insights Apply mathematical optimization to improve portfolio strategy, and campaign effectiveness. Conduct deep-dive analyses on member behavior, transactions, and product adoption to guide data-driven decisions. Collaborate with cross-functional teams to align analytics with business objectives. Present findings clearly to technical and non-technical audiences Model monitoring and documentation Qualifications 2-3 years of experience with requisite competencies Proficient in Python, SQL, PySpark, Power BI (or Tableau) Hands-on experience with statistics, machine learning, time series forecasting, and mathematical optimization Strong communication, collaboration and presentation and problem-solving skills Experience with cloud platforms (e.g., Azure Databricks) Research skills Independent judgment Data storytelling and technical presentation skills Problem solving and critical thinking Bachelor's Degree in Computers Science, Engineering, Statistics, Operations Research, Mathematics, or degrees in similar quantitative fields Desired Qualifications Master's Degree in Data Science, Statistics, Mathematics, Computer Science, or Engineering 3+ years of experience with requisite competencies Hours: Monday - Friday, 8:00AM - 4:30PM Hybrid Location: 820 Follin Lane, Vienna, VA 22180 This position is eligible for the TalentQuest employee referral program. If an employee referred you for this job, please apply using the system-generated link that was sent to you. Navy Federal Credit Union currently does not provide sponsorship for this role. Applicants must be authorized to work in the United States without the need for current or future sponsorship.
    $72k-94k yearly est. Auto-Apply 7d ago
  • LLM Customization Data Scientist - Principal Associate

    Capital One National Association 4.7company rating

    Data scientist job in McLean, VA

    A prominent financial services company located in McLean is seeking a Principal Associate, Data Scientist for the LLM Customization Team. The ideal candidate will leverage cutting-edge machine learning technologies to enhance customer interactions and financial analytics. Candidates should possess a strong background in data science, experience with NLP, machine learning, and programming in Python, SQL, and AWS. This role offers competitive salaries and benefits, driving innovation within a dynamic team environment. #J-18808-Ljbffr
    $69k-89k yearly est. 5d ago
  • Delivery Consultant - Data Engineer, Data and Machine Learning, WWPS US Federal

    Amazon.com, Inc. 4.7company rating

    Data scientist job in Arlington, VA

    The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries. It is expected to work from one of the above locations (or customer sites) Monday through Friday each week. This is not a remote position. You are expected to be in the office or with customers as needed. This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work. 10040 Key job responsibilities As an experienced technology professional, you will be responsible for: Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs Providing technical guidance and troubleshooting support throughout project delivery Collaborating with stakeholders to gather requirements and propose effective migration strategies Acting as a trusted advisor to customers on industry trends and emerging technologies Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts About the team Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications Bachelor's degree in Computer Science, Engineering, a related technical field or equivalent 3+ years of cloud architecture and solution implementation experience 3+ years of experience with data warehouse architecture, ETL/ELT tools, data engineering, and large-scale data manipulation using technologies like Spark, EMR, Hive, Kafka, and Redshift. Experience with relational databases, SQL, and performance tuning, as well as software engineering best practices for the development lifecycle, including coding standards, reviews, source control, and testing. Current, active US Government Security Clearance of TS/SCI with Polygraph. Preferred Qualifications AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred. Experience with automation and scripting (e.g., Terraform, Python). Knowledge of security and compliance standards (e.g., HIPAA, GDPR). Experience leading large-scale data engineering and analytics projects using AWS technologies like Redshift, S3, Glue, EMR, Kinesis, Firehose, and Lambda. Experience with non-relational databases and implementing data governance solutions. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit ********************************************************* for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,200/year in our lowest geographic market up to $204,300/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit ******************************************************** This position will remain posted until filled. Applicants should apply via our internal or external career site.
    $118.2k-204.3k yearly 5d ago
  • Senior Data Scientist

    Navy Federal 4.7company rating

    Data scientist job in Vienna, VA

    Provide independent data science, machine learning, and analytical insights using member, financial, and organizational data to support mission critical decision making for various areas of the organization. Understand business needs and identify opportunities for new products, services, and process optimization to meet business objectives through the use of cutting-edge data science. Create descriptive, predictive, and prescriptive models and insights to drive impact across the organization. Conduct work assignments of increasing complexity, under moderate supervision with some latitude for independent judgment. Intermediate professional within field; requires moderate skill set and proficiency in discipline. 3-5 years of experience in exploratory data analysis Basic understanding of business and operating environment Statistics Programming, data modeling, simulation, and advanced mathematics SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS Model lifecycle execution Technical writing Data storytelling and technical presentation skills Research Skills Interpersonal Skills Working knowledge of procedures, instructions, and validation techniques Model Development Communication Critical Thinking Collaborate and Build Relationships Initiative with sound judgement Technical (Big Data Analysis, Coding, Project Management, Technical Writing, etc.) Sound Judgment Problem Solving (Responds as problems and issues are identified) Bachelor's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields Desired Qualification(s) Master's/PhD Degree in Data Science, Statistics, Mathematics, Computers Science, or Engineering 4-5 years of experience in exploratory data analysis Hours: Monday - Friday, 8:00AM - 4:30PM Location: 820 Follin Lane, Vienna, VA 22180 Design, develop, and evaluate moderately complex predictive models and advanced algorithms Identifies meaningful insights from large data and metadata sources Test hypotheses/models, analyze, and interpret results Exercise sound judgment and discretion within defined procedures and practices Develop and code moderately complex software programs, algorithms, and automated processes Use modeling and trend analysis to analyze data and provide insights Develop understanding of best practices and ethical AI Transform data into charts, tables, or format that aids effective decision making Build working relationships with team members and subject matter experts Lead small projects and initiatives Utilize effective written and verbal communication to document and present findings of analyses to a diverse audience of stakeholders
    $79k-101k yearly est. Auto-Apply 13d ago

Learn more about data scientist jobs

How much does a data scientist earn in Johnson City, TN?

The average data scientist in Johnson City, TN earns between $61,000 and $112,000 annually. This compares to the national average data scientist range of $75,000 to $148,000.

Average data scientist salary in Johnson City, TN

$82,000
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