Senior data scientist jobs in Dundalk, MD - 1,001 jobs

A leading financial services firm in McLean, Virginia, is seeking experienced data analysts to leverage their quantitative expertise in building machine learning models. The ideal candidate will have a Bachelor's, Master's, or PhD in a quantitative field and at least 5 years of relevant experience. Responsibilities include collaborating with various teams to deliver products and translating complex data insights into business objectives. Capital One offers a supportive benefits package to promote well-being. #J-18808-Ljbffr

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.

Data Scientist Indev is seeking a Data Scientist with 6+ years of experience to support our AI/ML, advanced analytics, and data visualization initiatives. This role will be instrumental in analyzing, visualizing, and communicating data insights that drive key business decisions. The ideal candidate will have strong technical skills in Python, SQL, Tableau, and AWS Cloud, as well as excellent communication and presentation abilities. This is a direct-hire, full-time position with salary and benefits. Indev provides a comprehensive benefits package, including Medical, Dental, Vision, 401k with match, Flexible Spending Account, and Paid Time Off (PTO)-including vacation and holiday pay. Your future duties and responsibilities: Data Analytics and Business Intelligence: Analyze large and complex data sets to uncover insights and support decision-making. Partner with stakeholders to define analytical needs and deliver actionable solutions. Develop and maintain data models to support advanced analytics initiatives. Data Visualization and Reporting: Design and create interactive dashboards and reports using Tableau. Present findings in a clear, concise manner tailored to both technical and non-technical audiences. Support data storytelling through compelling visualizations that communicate trends and patterns. Data Extraction and Management: Write complex SQL queries for data extraction, transformation, and loading (ETL) tasks. Work with relational databases (e.g., PostgreSQL, MySQL, NoSQL) to support data integrity and consistency. Automate routine data processes using a variety of scripts and tools. (e.g., Python, Airflow, SQL, AWS) Cloud Technology Utilization: Leverage AWS Cloud services (e.g., S3, EC2, RDS, Lambda) for data processing, storage, and retrieval. Ability to guide and support cloud modernization of data processes, including advanced AI/ML, automation, and governance technologies. Optimize cloud workflows for data access and analysis efficiency. Collaboration and Communication: Collaborate with cross-functional teams, including engineers, analysts, and business stakeholders. Clearly articulate analytical concepts and results to a wide range of audiences. Contribute to client-facing presentations and written reports. Required qualifications to be successful in this role: Bachelor's Degree in Technology, Business, Mathematics, Computer Science, Information Systems, or other related discipline from an accredited college, university, or academic institution in the United States. (Master's preferred) 6+ years of professional experience in AI/ML, data analysis, visualization, and reporting. Proficiency in Python for data manipulation and automation. Strong experience with SQL and relational databases (e.g., PostgreSQL, MySQL). Proficiency with Tableau for creating dashboards and visual reports. Experience creating automated data workflows, analytics processes, and processing pipelines. Advanced knowledge of data visualization and reporting using a variety of software and tools. Familiarity with AWS Cloud environments and services for data processing and storage. Familiarity with DevOps practices, Agile methodologies, and modern software development environments. Familiarity with the entire software development process from end-to-end. Excellent oral and written communication skills, with the ability to present complex information clearly. Strong problem-solving and analytical thinking skills. Existing and active DHS EOD/clearance (ICE preferred). Additional preferred qualification: Strong knowledge of change management processes and technologies (e.g., GitHub) Experience modeling and analyzing large financial and operational data in cloud environments. Demonstrated experience developing prototypes and proof-of-concept applications or software from end-to-end. Knowledge of federal data governance standards and compliance frameworks. Prior experience supporting federal government clients, especially DHS. Existing and active DHS EOD/clearance (ICE or TSA preferred). Clearance: Existing and active DHS EOD/clearance (ICE preferred). About Us: At Indev, we're not just a company; we're a trailblazing force transforming the way technology solutions shape the future. As a dynamic player in the federal government sector, we're on a mission to empower agencies with cutting-edge, innovative technology solutions that drive innovation, efficiency, and progress. Our team thrives on collaboration, innovation, and embracing challenges head-on to create a meaningful impact on the world around us. Let's innovate. *************

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Visa USA Inc., a Visa Inc. company, needs a Staff Data Scientist (multiple openings) in Washington, DC to: Building and validating predictive models with advanced machine learning techniques and tools to drive business value, interpreting and presenting modeling and analytical results to non-technical audience. Conducting research using latest and emerging modeling technologies and tools to solve new fraud detection business problems like merchant acceptance fraud detection and/or improve existing production models' performance for fraud related business context. Improving the modeling process through MLOps and automation to drive efficiency and effectiveness. Partnering with a cross functional team of Product Managers, Data Engineers, Software Engineers, and Platform Engineers to deploy models and/or model innovations into production. Managing model risks in line with Visa Model Risk Management requirements. Conducting modeling analysis to address internal and external clients' questions and requests. Position reports to the Washington, DC office and may allow for partial telecommuting. Qualifications Basic Qualifications: Master's degree in Mathematics, Statistics, Computer Science, Engineering, Economics or related field and 6 years of experience in the job offered or in a Data Scientist or Data Analyst-related occupation. Position requires the following: Developing predictive models using Machine learning or Statistical Modeling (e.g. XGBoost). Scripting in Python, Unix or Linux. Using SQL for extracting and aggregating data. Experience with Hadoop or related big data query engine such as PySpark or Scala Spark. Experience with Model Risk Management. Additional Information Worksite: Washington, DC This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs. Travel Requirements:This position does not require travel. Mental/Physical Requirements:This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is $170,872.00 USD to $232,700.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

An established industry player is seeking a seasoned Machine Learning Engineer to join a dynamic team focused on leveraging AI/ML technology for Federal use cases. In this role, you will collaborate with data scientists and engineers to design and develop innovative machine learning models, analyze large datasets, and optimize solutions for performance and scalability. This position offers a unique opportunity to contribute to impactful projects while working with cutting-edge technologies in a supportive environment that values your growth and contributions. If you are passionate about data and problem-solving, this role is perfect for you! #J-18808-Ljbffr

Job ID 2025-12923 # of Openings 3 Category Data/Analytics Benefit Type Salaried High Fringe/Full-Time We are seeking a Data Engineer to join our team. The Data Engineer will be responsible for designing, developing, and maintaining enterprise database systems in support of various government and defense projects. This role involves implementing ETL processes, managing low latency application databases, and ensuring database performance and availability. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. Responsibilities Oversee data architecture for large-scale APIs and web application back-end data stores. Implement ETL processes to supply application data for usage in web applications. Manage critical low latency application databases on various platforms. Develop and maintain packages, scripts, and reusable components for system enhancements and interfaces. Develop scripts to validate various data on systems and improve database performance. Troubleshoot and correct code problems identified during ETL and refresh processes. Develop, implement, and execute quality assurance programs and quality control standards. Establish database backup/recovery strategy and implement automation of DBA utility functions. Document database design, data definition language, and data migration strategy. Engineer extensive database solutions and interfaces for enhanced data requests performance. Qualifications Minimum Qualifications: 5+ years of experience designing, developing, and maintaining enterprise database systems. Strong understanding of SQL (MariaDB/MySQL, Postgres, MS SQL, or Oracle). Demonstrated experience with ETL pipeline design and implementation using third-party vendor solutions (NNCompass, Pentaho) or developing custom solutions. Experience with cloud database development and implementation (AWS preferred). Robust understanding of data migration procedures for backup, restore, as well as schema migration. Bachelor's degree in Computer Science, Data Science, or a related field. Master's degree preferred but not mandatory. Ability to obtain and maintain a security clearance (Confidential/NAC required). Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances. The salary range for this position is - $148,776-$207,000 LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Need help finding the right job? We can recommend jobs specifically for you! Click here to get started.

Who We Are: ThinkTek LLC is a fast-growing Certified SBA 8(a) and Service-Disabled Veteran-Owned Small Business (SDVOSB). We specialize in providing management and technology consulting services to support the business and technology modernization efforts of the Federal Government. ThinkTek was formed with the specific purpose of providing clients tailored solutions in Program & Project Management, Strategic Planning, and IT Services. Position Description: ThinkTek is seeking a Data Engineer with strong expertise in Microsoft Azure and experience integrating with ServiceNow (SNOW) platforms to support a Human Capital Management (HCM) modernization program for a large Federal agency. The selected candidate will provide technical leadership in designing secure, scalable data solutions that enhance interoperability between Azure-based systems, HCM platforms, and ServiceNow applications. The ideal candidate will have deep hands-on experience in Azure Data Factory, Azure Synapse Analytics, Power BI, and SQL Server, combined with a working knowledge of ServiceNow data structures, CMDB, and API integrations. Responsibilities: Lead the design and implementation of enterprise data architecture to support Human Capital Management and related business systems. Develop and maintain scalable data models, data warehouses, and migration strategies within the Microsoft Azure environment. Architect and manage Azure SQL Database, Azure Data Lake, and Synapse pipelines to enable secure data flow across HCM and ServiceNow platforms. Integrate data between Azure and ServiceNow, leveraging APIs, MID Servers, and RESTful web services. Collaborate with HR, IT, and ServiceNow platform teams to define and implement data standards, mappings, and transformation logic. Establish and monitor data governance, quality assurance, and compliance processes aligned with federal cybersecurity and privacy mandates (e.g., FISMA, FedRAMP). Develop advanced analytics and reporting solutions using Power BI and Azure Analysis Services to support workforce planning, performance insights, and executive dashboards. Serve as a technical advisor to ensure data architecture aligns with business goals, modernization priorities, and cloud best practices. Required Qualifications: Active Secret Clearance. Bachelor's Degree or higher. 5+ years of experience leading enterprise data architecture, modeling, and migration efforts. 5+ years of hands-on experience with Azure SQL, Azure Data Factory, Azure Synapse, and Power BI. Experience with ServiceNow data models, integrations, and CMDB architecture. Strong SQL and database design proficiency, including stored procedures, APIs, and ETL workflows. Experience supporting or integrating Human Capital Management or ERP systems (e.g., Oracle HCM, Workday, PeopleSoft, or SAP SuccessFactors). Knowledge of federal data privacy, security, and compliance frameworks (FISMA, FedRAMP, NIST). Preferred: Azure Solutions Architect, Azure Data Engineer, or ServiceNow Integration Specialist certification. Why ThinkTek: ThinkTek LLC is proud to be an Equal Opportunity Employer (EOE), making employment decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class.We offer comprehensive benefits including medical, dental, and vision insurance for full-time employees, generous PTO, and a variety of paid leave options. Learn more about ThinkTek careers and benefits at ****************************

With over 5 million members, Working America mobilizes working people who don?t have the benefit of a union at work to fight for good jobs and a fair economy. As the community affiliate of the AFL-CIO, we unite working people in urban and suburban communities around a shared economic agenda. The Associate Data Engineer will support Working America's data integration work, including troubleshooting data issues, supporting interface data flows, and contributing to data validation and transformation efforts. Under the direction of the Manager of Data and Cloud services, they will assist in documenting data structures, supporting audit readiness, and ensuring compliance with data governance standards. This is a fixed-term position through Dec. 18, 2026. Reports to: IT Manager of Data & Cloud Services Duties and Responsibilities ? Support the design, development, and maintenance of data pipelines and database systems. ? Manage data quality, supporting data integration across internal and external systems,and maintaining metadata and data dictionaries. ? Write and update technical documentation for collaboration and knowledge sharing with team members. ? Support the development of reports and visualizations based on established report definitions. ? Other duties as assigned. Qualifications ? STEM-related Associate?s degree preferred, ? 0-2 years of related work experience in data engineering or architecture required; ? Familiarity with data systems and infrastructures, pipelines, and data sets required; ? Strong command of relational databases and SQL; Extract, Transform, and Load (ETL) data into a relational database required; ? Familiarity with cloud infrastructure technologies. ? 0-2 years of Python strongly preferred; ? Familiarity with GitHub; ? Excellent listening, interpersonal, communication and problem solving skills; ? Ability to use good judgment, take initiative, and make recommendations in resolving problems; ? Ability to work long and irregular hours as necessary in response to technical difficulties. Location: Washington, DC Position ? Full-time ? FLSA Classification: Non-Exempt The Step 1 salary is $94,209, with additional steps considered for candidates with experience and qualifications beyond what is required above. Includes medical insurance, paid time off, and 401(k) with employer contribution. The position is a bargaining unit position, represented by the Washington-Baltimore NewsGuild, TNG-CWA, Local 32035. Working America is an equal opportunity employer. Working America is committed to building a diverse workforce and encourages applications from women, people of color, LGBTQIA and other non-conforming individuals, and individuals with disabilities. Please see PI281420309 Job distributed by JobTarget. Please see job description

The primary role of the Data Scientist is to drive mission-focused insights from complex datasets. This role involves managing, modeling, and interpreting large-scale government data holdings to support decision-making and operational success. You will combine expertise in mathematics, statistics, computer science, and domain-specific knowledge to deliver actionable conclusions and communicate them effectively to both technical and non-technical audiences. Position Responsibilities Build and assess analytic models tailored to mission-specific needs Communicate principal conclusions clearly, using mathematics, statistics, and computer science methods Develop reproducible workflows and ensure data integrity Develop qualitative and quantitative methods for exploring and assessing datasets in varying states of organization and cleanliness. Organize, clean, and curate large datasets for analysis Present complex technical findings in a way that is accessible to technical and non-technical stakeholders Experience Bachelor's degree in Mathematics, Applied Mathematics, Applied Statistics, Machine Learning, Data Science, Computer Science or related field or equivalent combination of education and experience. Minimum 3+ years' relevant work experience. Experience with software development working with Python in a Unix environment. Experience using the Unix command line. Practical knowledge in Python Machine Learning and Data Visualization Practical knowledge in Data ETL such as working with: Data loading from SQL, CSV, JSON, Excel, etc., Web scraping (Beautiful Soup, Scrapy, etc.) and Data Wrangling/Cleaning Proficiency in statistical packages using any of the following: Python, R, STATA, SPSS, etc. An active TS/SCI with polygraph Additional Requirements Experience using the Atlassian Tool Suite. Experience with development of any of the following; Hadoop, Pig, MapReduce, or HDFS Working knowledge with other object-oriented programming languages such as Java or C++ Working knowledge with Front-end data visualization libraries (i.e., D3.js; Raphael.js, etc.) Physical Demands Ability to work in an office environment (Constant) Required to sit and stand for long periods; talk, hear, and use hands and fingers to operate a computer and telephone keyboard (Frequent) Salary Range: $107,000 to $212,000 The AV pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Determination of official compensation or salary relies on several factors including, but not limited to, level of position, job responsibilities, geographic location, scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements, alignment with local internal equity as well as alignment with market data. Clearance Level Top Secret with Poly ITAR Requirement: T his position requires access to information that is subject to compliance with the International Traffic Arms Regulations (“ITAR”) and/or the Export Administration Regulations (“EAR”). In order to comply with the requirements of the ITAR and/or the EAR, applicants must qualify as a U.S. person under the ITAR and the EAR, or a person to be approved for an export license by the governing agency whose technology comes under its jurisdiction. Please understand that any job offer that requires approval of an export license will be conditional on AeroVironment's determination that it will be able to obtain an export license in a time frame consistent with AeroVironment's business requirements. A “U.S. person” according to the ITAR definition is a U.S. citizen, U.S. lawful permanent resident (green card holder), or protected individual such as a refugee or asylee. See 22 CFR § 120.15. Some positions will require current U.S. Citizenship due to contract requirements. Benefits: AV offers an excellent benefits package including medical, dental vision, 401K with company matching, a 9/80 work schedule and a paid holiday shutdown. For more information about our company benefit offerings please visit: ********************************** We also encourage you to review our company website at ******************** to learn more about us. Principals only need apply. NO agencies please. Who We Are Based in California, AeroVironment (AVAV) is a global leader in unmanned aircraft systems (UAS) and tactical missile systems. Founded in 1971 by celebrated physicist and engineer, Dr. Paul MacCready, we've been at the leading edge of technical innovation for more than 45 years. Be a part of the team that developed the world's most widely used military drones and created the first submarine-launched reconnaissance drone, and has seven innovative vehicles that are part of the Smithsonian Institution's permanent collection in Washington, DC. Join us today in developing the next generation of small UAS and tactical missile systems that will deliver more actionable intelligence to our customers so they can proceed with certainty - and succeed. What We Do Building on a history of technological innovation, AeroVironment designs, develops, produces, and supports an advanced portfolio of unmanned aircraft systems (UAS) and tactical missile systems. Agencies of the U.S. Department of Defense and allied military services use the company's hand-launched UAS to provide situational awareness to tactical operating units through real-time, airborne reconnaissance, surveillance, and target acquisition. We are proud to be an EEO/AA Equal Opportunity Employer, including disability/veterans. AeroVironment, Inc. is an Equal Employment Opportunity (EEO) employer and welcomes all qualified applicants. Qualified applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, protected veteran status, genetic data, sexual orientation, gender identity or other legally protected status. ITAR U.S. Citizenship required

Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building. Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare's greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve. Location: This position is a hybrid role based out of our HQ Bowie, MD office. The current expectation is that we are in office two days each week (Tuesday-Wed), with extra additional days as required during the month. Overview: The Senior Health Data Scientist will lead and serve as subject matter expert to highly complex data extracts, programming, and analytical modeling capabilities in support of the team's services to internal and external clients. The Senior position provides guidance and support as needed to junior staff. The team consists of staff with specialized experience, such as research scientists, health service researchers, health economists, clinicians, and project managers, who conceptualize, execute, and deliver qualitative, analytical, and strategy-based work products for clients. We also work closely with other practices, applying the full scope of the firm's knowledge base to the development of multi-disciplinary, creative solutions on behalf of our clients. Duties and Responsibilities: * Serve as lead when working collaboratively with teams of health services researchers and business analysts to draw insight and intelligence from large administrative claims datasets, electronic medical records and various healthcare registry datasets; * Identify and develop solutions that can be implemented to key strategic business problems using high-level modeling and statistical analyses techniques; * Utilize SQL to perform advanced-level data extraction, transformation and data management; fully document and manage library of source code and algorithms for future use; * Identify, develop and test hypotheses in support of research and product offerings, and communicate findings in a clear, precise, and actionable manner to our clients; * Respond to and lead highly complex operational data requests and create ad-hoc queries to support research projects; * Serve as lead when working closely with Inovalon's Enterprise Data Management, Data Integration, MORE2 Registry, and iPORT+ teams to identify, understand, and resolve data issues and improve the efficiency, productivity and scalability of Avalere and Inovalon Product and production data processes; * Troubleshoot complex production-related issues and coordinate successful resolution; * Assist with the evaluation of data analytic vendors and tools; * Maintain compliance with Inovalon's policies, procedures and mission statement; * Adhere to all confidentiality and HIPAA requirements as outlined within Inovalon's Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the undertaking of the position; * Fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success of the Company; * Uphold responsibilities relative to the separation of duties for applicable processes and procedures within your job function; and * We reserve the right to change this job description from time to time as business needs dictate and will provide notice of such. Job Requirements: * 5 + years of professional experience in healthcare or pharmaceutical industries working with administrative claims data and big data; * Health Economics Outcomes Research experience; * Strong SQL programming skills in addition to working knowledge and experience using statistical analysis tools such as SAS, R, SPSS, Stata, and/or MatLab; * Demonstrated problem solving, analytical reasoning and decision-making skills; * Strong understanding and experience in researching and resolving data issues with a logical, instinctive, and problem-solving mentality working with large, complex and incomplete sources; * Business analytical skills (process flows, procedures, spreadsheets, modeling, etc.) and good understanding of design and architecture principles; * Exhibit strong project management skills, with an ability to work independently on multiple projects with competing priorities and a strong commitment to meeting goals and deadlines; * Understanding of database management tools (e.g., Hadoop, Hive or MapReduce); * Excellent analytical skills and ability to understand and interpret results based on advanced statistical techniques; * Strong written and verbal communication skills in IT and business environments; ability to communicate to technical and non-technical audiences; * Ability to work under minimal supervision in a fast-paced multidisciplinary environment; * Advanced knowledge of health care, health policy, pharmaceutical, medical device, and related issues; * Superior customer service in the form of first-rate work product and project management; * Strong ability to manage challenging client situations; * Strong ability to troubleshoot and recommend solutions; and * Strong ability to translate complex information for a wide range of clients. Education: * Master's degree in computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline; or equivalent combination of education and experience. Physical Demands and Work Environment: * Sedentary work (i.e. sitting for long periods of time); * Exerting up to 10 pounds of force occasionally and/or negligible amount of force; * Frequently or constantly to lift, carry push, pull or otherwise move objects and repetitive motions; * Subject to inside environmental conditions; and * Travel for this position will include less than 5% locally usually for training purposes. Inovalon Offers a Competitive Salary and Benefits Package In addition to the base compensation, this position may be eligible for performance-based incentives. The actual base pay offered may vary depending on multiple factors including, but not limited to, job-related knowledge/skills, experience, business needs, geographical location, and internal equity. At Inovalon, it is not typical for an individual to be hired at or near the top end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate. Inovalon invests in associates to help them stay healthy, save for long-term financial goals, and manage the demands of work and personal commitments. That's why Inovalon offers a valuable benefits package with a wide range of choices to meet associate needs, which may include health insurance, life insurance, company-paid disability, 401k, 18+ days of paid time off, and more. Base Compensation Range $113,000-$140,000 USD This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions) If you don't meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles. By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth. Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement. To review the legal requirements, including all labor law posters, please visit this link To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link

Job Title: Data Scientist LOCATION: ARLINGTON VA / WASHINGTON DC (DUE TO CUSTOMER REQUIREMENTS YOU MUST BE LOCATED IN THE GREATER WASHINGTON DC AREA) Workplace: Hybrid Clearance Required: Must have a IRS Public Trust w/a Full Background Investigation Requisition Type: Pipeline this is not a current opening but rather a talent pipeline for Data Analyst of all levels with an IRS Public Trust w/ background investigation interested in supporting the Government customer. When new IRS Data Scientist positions become available, this talent community will be the first place our recruiters look to fill the roles. Candidates with profiles in this talent community can also expect to receive regular updates on relevant new job opportunities. Be sure to also apply to any relevant current funded/awarded openings, if available. Position Overview: As a Data Scientist, you will work directly with clients, managers, and technical staff to understand business needs, develop technical plans, and deliver data-driven analytical solutions that solve client problems. You will primarily create and deploy predictive models from a wide variety of data sources and types using the latest mathematical and statistical methods and other emerging technologies. Position Requirements: Required Clearance: Must have a IRS Public Trust w/a Full Background Investigation Required Education: Bachelor of Science degree in a relevant field (statistics, business, computer science, economics, mathematics, analytics, data science, social sciences, etc.,) Required Skills / Experience: * Exploring, cleaning, and wrangling data to provide value-added insights and identify business problems suitable for Data Science solutions * Experience across the spectrum of design, develop, test, and implement quantitative and qualitative Data Science solutions that are modular, maintainable, resilient to industry shifts, and platform-agnostic * Demonstrated experience using statistical and analytical software (including but not limited to Python, R, and SQL) * Analyzing events across government, financial industries, law enforcement, and other similar data environments prioritizing them by compliance and business risk and displaying the results in evidence-driven monitoring and decision support tools. * Experience in quantitative statistical approaches to anomaly detection to identify non-compliance risk, fraud, and cyber threats using data discovery, predictive analytics, trend analysis, assessment, and appropriate contemporary and emerging analytical techniques. * Ability to conduct rigorous quantitative data analysis on very large quantitative data sets to develop insights and develop actionable recommendations due to previous experience developing strategies, performing assessments, gap analyses, and making actionable recommendations * Contribute to meetings and discussions with clients and co-workers to refine understanding of the business problem at hand * Trying different predictive modeling approaches to identify the best fit for a given set of business understanding, available data, and project timeline * Writing modular, understandable, re-usable code within an iterative development process that includes team-based code review, client discussions, and end-user training * Applying statistical tests for robustness, sensitivity, and significance to test and validate supervised and unsupervised models * Preparing presentations, writing reports (technical and non-technical), and working to communicate technical results to clients with varying levels of analytic sophistication * Ability to work autonomously in a collaborative, dynamic, cross-functional environment * Demonstrated business savvy with solid interpersonal and communication skills (written and verbal). * Experience with design and delivery capabilities with proficiency in gathering requirements and translating business requirements into technical specification. Preferred Skills and Qualifications: * Bachelor of Science degree in a relevant field (statistics, business, computer science, economics, mathematics, analytics, data science, social sciences, etc.,) * 1+ years of experience in data science, data analytics, or a related technical field * Prior computer programming experience, preferably in a language such as Python or R * Experience with data exploration, data munging, data wrangling, and model development in R or Python * Experience using version control (e.g. git, svn, Mercurial) and collaborative Basic understanding of relational database structure and SQL * Humble and willing to learn, teach, and share ideas * Experience engaging and interacting with clients, stakeholders and subject matter experts (SMEs) to understand, gather and document requirements * Comfortable learning new things and working outside of your comfort zone * Technical mindset you are not afraid of math! * Must currently possess a Public Trust clearance * Travel to and work on-site at clients both local and non-local. Number of days at client site vary depending on project requirements. Desired Skills * Advanced degree (MS or PhD) in a relevant field (e.g., statistics, computer science, business, mathematics, analytics, data science, engineering, physics, social sciences, management information systems, or decision science, etc.,) * Programming techniques (e.g. pair programming, code reviews) * Experience with containerization and environment management (venv or conda) * Experience with Natural Language Processing (NLP) and advanced text mining techniques * Experience with graph analytics and network analysis * Experience with one or more technologies such as R Shiny, Databricks, AWS, Azure * Experience applying robust, established and emerging quantitative & statistical techniques, knowledgeable on the underlying theoretical and architectural frameworks in the fields of applied analytics, and statistical analysis to include: sampling considerations & survey design like construct validity, measurement bias, as well as internal & external validity, statistical weighting techniques, approaches to outlier and missing data, and exploratory data analysis, cross-sectional analysis, and longitudinal forecasting * Experience implementing data science processes in a remote, austere environment to include using bash * Experience with business intelligence and data visualization platforms (Power BI, Tableau, etc.,) * Understanding of the data analytics lifecycle (e.g. CRISP-DM) 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.

The World Justice Project (WJP) is seeking a full-time Senior Data Scientist - Consultant to support its Data Analytics Unit. This position will contribute to WJP's global research on rule of law issues by supporting data analysis and report production processes. The role involves designing and implementing machine learning models, developing AI agents, and working with large language models (LLMs) to support a range of research projects. WJP's global research and data team is based in Washington, DC, and this position will be remote. About the World Justice Project The World Justice Project (WJP) was launched in 2009 to promote justice and the rule of law globally. It is best known for its Rule of Law Index, the world's leading source on the performance of 143 countries in relation to absence of corruption, open government, civil and criminal justice, fundamental rights, and other rule of law standards. Drawing on the Index methodology, WJP also undertakes in-depth studies on particularly countries and topics, such as access to justice, criminal justice, environmental governance, and corruption. WJP puts this data and research into action to strengthen the rule of law through convening, engagement, and support of a global network-including through the biennial World Justice Forum and World Justice Challenge. At a time when the rule of law is facing fundamental challenges throughout the world, WJP's mission to strengthen respect for justice, peace, and fundamental rights is more pressing than ever. For more information, please visit worldjusticeproject.org. Responsibilities Design and implement machine learning models and statistical analyses to support WJP research initiatives Lead technical infrastructure modernization including containerization and cloud deployment strategies Develop and maintain agentic AI systems and LLM-powered tools for data analysis workflows Provide technical mentorship to other team members on advanced analytics techniques Collaborate with research teams to translate complex data questions into analytical solutions Qualifications Technical Skills Advanced proficiency in Python and R for statistical analysis and machine learning Experience with LLMOps and deployment of large language model applications SQL for database management and complex queries (bonus) Git/GitHub for version control and collaborative development Docker and containerization technologies Understanding of cloud computing concepts (AWS, Azure, or GCP) Basic HTML/CSS for report customization Understanding of RESTful APIs and web scraping techniques Preferred Qualifications Strong experience with scikit-learn and other ML frameworks Knowledge of agentic systems and AI workflow automation Strong statistical background including dimensionality reduction techniques (PCA, factor analysis, MDS, t-SNE) Expertise in data imputation methods and handling missing data Experience with latent variable modeling (SEM, IRT, mixture models) Master's degree or PhD in Computer Science, Statistics, Data Science, or related field How to Apply To apply for this position, please visit our employment portal: ************************************************************ The following materials are required for this position: Resume Writing sample. It can be in Spanish or English. Contact information for three professional references Please submit all application materials in one PDF document. Applications will be reviewed on a rolling basis. Due to the high volume of applications received, we are only able to follow up directly with candidates selected for interviews. No phone calls please.

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.

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

A global consultancy firm is seeking a motivated Senior Manager in Data Architecture to drive transformative technology projects in the Power & Utilities sector. The ideal candidate will have over 12 years of experience in consulting, a robust background in data architecture, and strong skills in AI applications. This role involves leading teams, managing complex projects, and fostering client relationships while leveraging advanced technology to solve critical business challenges. An excellent opportunity for career growth awaits. #J-18808-Ljbffr

Job Title: Data Scientist LOCATION: ARLINGTON VA / WASHINGTON DC (DUE TO CUSTOMER REQUIREMENTS YOU MUST BE LOCATED IN THE GREATER WASHINGTON DC AREA) Workplace: Hybrid Clearance Required: Must have a IRS Public Trust w/a Full Background Investigation Requisition Type: Pipeline this is not a current opening but rather a talent pipeline for Data Analyst of all levels with an IRS Public Trust w/ background investigation interested in supporting the Government customer. When new IRS Data Scientist positions become available, this talent community will be the first place our recruiters look to fill the roles. Candidates with profiles in this talent community can also expect to receive regular updates on relevant new job opportunities. Be sure to also apply to any relevant current funded/awarded openings, if available. Position Overview: As a Data Scientist, you will work directly with clients, managers, and technical staff to understand business needs, develop technical plans, and deliver data-driven analytical solutions that solve client problems. You will primarily create and deploy predictive models from a wide variety of data sources and types using the latest mathematical and statistical methods and other emerging technologies. Position Requirements: Required Clearance: Must have a IRS Public Trust w/a Full Background Investigation Required Education: Bachelor of Science degree in a relevant field (statistics, business, computer science, economics, mathematics, analytics, data science, social sciences, etc.,) Required Skills / Experience: Exploring, cleaning, and wrangling data to provide value-added insights and identify business problems suitable for Data Science solutions Experience across the spectrum of design, develop, test, and implement quantitative and qualitative Data Science solutions that are modular, maintainable, resilient to industry shifts, and platform-agnostic Demonstrated experience using statistical and analytical software (including but not limited to Python, R, and SQL) Analyzing events across government, financial industries, law enforcement, and other similar data environments prioritizing them by compliance and business risk and displaying the results in evidence-driven monitoring and decision support tools. Experience in quantitative statistical approaches to anomaly detection to identify non-compliance risk, fraud, and cyber threats using data discovery, predictive analytics, trend analysis, assessment, and appropriate contemporary and emerging analytical techniques. Ability to conduct rigorous quantitative data analysis on very large quantitative data sets to develop insights and develop actionable recommendations due to previous experience developing strategies, performing assessments, gap analyses, and making actionable recommendations Contribute to meetings and discussions with clients and co-workers to refine understanding of the business problem at hand Trying different predictive modeling approaches to identify the best fit for a given set of business understanding, available data, and project timeline Writing modular, understandable, re-usable code within an iterative development process that includes team-based code review, client discussions, and end-user training Applying statistical tests for robustness, sensitivity, and significance to test and validate supervised and unsupervised models Preparing presentations, writing reports (technical and non-technical), and working to communicate technical results to clients with varying levels of analytic sophistication Ability to work autonomously in a collaborative, dynamic, cross-functional environment Demonstrated business savvy with solid interpersonal and communication skills (written and verbal). Experience with design and delivery capabilities with proficiency in gathering requirements and translating business requirements into technical specification. Preferred Skills and Qualifications: Bachelor of Science degree in a relevant field (statistics, business, computer science, economics, mathematics, analytics, data science, social sciences, etc.,) 1+ years of experience in data science, data analytics, or a related technical field Prior computer programming experience, preferably in a language such as Python or R Experience with data exploration, data munging, data wrangling, and model development in R or Python Experience using version control (e.g. git, svn, Mercurial) and collaborative Basic understanding of relational database structure and SQL Humble and willing to learn, teach, and share ideas Experience engaging and interacting with clients, stakeholders and subject matter experts (SMEs) to understand, gather and document requirements Comfortable learning new things and working outside of your comfort zone Technical mindset you are not afraid of math! Must currently possess a Public Trust clearance Travel to and work on-site at clients both local and non-local. Number of days at client site vary depending on project requirements. Desired Skills Advanced degree (MS or PhD) in a relevant field (e.g., statistics, computer science, business, mathematics, analytics, data science, engineering, physics, social sciences, management information systems, or decision science, etc.,) Programming techniques (e.g. pair programming, code reviews) Experience with containerization and environment management (venv or conda) Experience with Natural Language Processing (NLP) and advanced text mining techniques Experience with graph analytics and network analysis Experience with one or more technologies such as R Shiny, Databricks, AWS, Azure Experience applying robust, established and emerging quantitative & statistical techniques, knowledgeable on the underlying theoretical and architectural frameworks in the fields of applied analytics, and statistical analysis to include: sampling considerations & survey design like construct validity, measurement bias, as well as internal & external validity, statistical weighting techniques, approaches to outlier and missing data, and exploratory data analysis, cross-sectional analysis, and longitudinal forecasting Experience implementing data science processes in a remote, austere environment to include using bash Experience with business intelligence and data visualization platforms (Power BI, Tableau, etc.,) Understanding of the data analytics lifecycle (e.g. CRISP-DM) 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. About Elder Research, Inc People Centered. Data Driven Elder Research is a fast growing consulting firm specializing in predictive analytics. Being in the data mining business almost 30 years, we pride ourselves in our ability to find creative, cutting edge solutions to real-world problems. We work hard to provide the best value to our clients and allow each person to contribute their ideas and put their skills to use immediately. Our team members are passionate, curious, life-long learners. We value humility, servant-leadership, teamwork, and integrity. We seek to serve our clients and our teammates to the best of our abilities. In keeping with our entrepreneurial spirit, we want candidates who are self-motivated with an innate curiosity and strong team work. Elder Research believes in continuous learning and community - each week the entire company attends a Tech Talk and each office location provides lunch. Elder Research provides a supportive work environment with established parental, bereavement, and PTO policies. By prioritizing a healthy work-life balance - with reasonable hours, solid pay, low travel, and extremely flexible time off - Elder Research enables and encourages its employees to serve others and enjoy their lives. Elder Research, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Elder Research is a Government contractor and many of our positions require US Citizenship.

Location: This position is a hybrid role based out of our HQ Bowie, MD office. The current expectation is that we are in office two days each week (Tuesday-Wed), with extra additional days as required during the month. Overview: The Senior Health Data Scientist will lead and serve as subject matter expert to highly complex data extracts, programming, and analytical modeling capabilities in support of the team's services to internal and external clients. The Senior position provides guidance and support as needed to junior staff. The team consists of staff with specialized experience, such as research scientists, health service researchers, health economists, clinicians, and project managers, who conceptualize, execute, and deliver qualitative, analytical, and strategy-based work products for clients. We also work closely with other practices, applying the full scope of the firm's knowledge base to the development of multi-disciplinary, creative solutions on behalf of our clients. Duties and Responsibilities: Serve as lead when working collaboratively with teams of health services researchers and business analysts to draw insight and intelligence from large administrative claims datasets, electronic medical records and various healthcare registry datasets; Identify and develop solutions that can be implemented to key strategic business problems using high-level modeling and statistical analyses techniques; Utilize SQL to perform advanced-level data extraction, transformation and data management; fully document and manage library of source code and algorithms for future use; Identify, develop and test hypotheses in support of research and product offerings, and communicate findings in a clear, precise, and actionable manner to our clients; Respond to and lead highly complex operational data requests and create ad-hoc queries to support research projects; Serve as lead when working closely with Inovalon's Enterprise Data Management, Data Integration, MORE2 Registry , and iPORT+™ teams to identify, understand, and resolve data issues and improve the efficiency, productivity and scalability of Avalere and Inovalon Product and production data processes; Troubleshoot complex production-related issues and coordinate successful resolution; Assist with the evaluation of data analytic vendors and tools; Maintain compliance with Inovalon's policies, procedures and mission statement; Adhere to all confidentiality and HIPAA requirements as outlined within Inovalon's Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the undertaking of the position; Fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success of the Company; Uphold responsibilities relative to the separation of duties for applicable processes and procedures within your job function; and We reserve the right to change this job description from time to time as business needs dictate and will provide notice of such. Job Requirements: 5 + years of professional experience in healthcare or pharmaceutical industries working with administrative claims data and big data; Health Economics Outcomes Research experience; Strong SQL programming skills in addition to working knowledge and experience using statistical analysis tools such as SAS, R, SPSS, Stata, and/or MatLab; Demonstrated problem solving, analytical reasoning and decision-making skills; Strong understanding and experience in researching and resolving data issues with a logical, instinctive, and problem-solving mentality working with large, complex and incomplete sources; Business analytical skills (process flows, procedures, spreadsheets, modeling, etc.) and good understanding of design and architecture principles; Exhibit strong project management skills, with an ability to work independently on multiple projects with competing priorities and a strong commitment to meeting goals and deadlines; Understanding of database management tools (e.g., Hadoop, Hive or MapReduce); Excellent analytical skills and ability to understand and interpret results based on advanced statistical techniques; Strong written and verbal communication skills in IT and business environments; ability to communicate to technical and non-technical audiences; Ability to work under minimal supervision in a fast-paced multidisciplinary environment; Advanced knowledge of health care, health policy, pharmaceutical, medical device, and related issues; Superior customer service in the form of first-rate work product and project management; Strong ability to manage challenging client situations; Strong ability to troubleshoot and recommend solutions; and Strong ability to translate complex information for a wide range of clients. Education: Master's degree in computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline; or equivalent combination of education and experience. Physical Demands and Work Environment: Sedentary work (i.e. sitting for long periods of time); Exerting up to 10 pounds of force occasionally and/or negligible amount of force; Frequently or constantly to lift, carry push, pull or otherwise move objects and repetitive motions; Subject to inside environmental conditions; and Travel for this position will include less than 5% locally usually for training purposes.

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

The Amazon Web Services Professional Services (Pro. Serve) 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 t Data Engineer, Delivery, Consultant, Machine Learning, Data, Solutions Architect, Technology