Senior data scientist jobs in Arlington, VA

MANTECH is seeking a motivated, career and customer-oriented Software Data Engineer to join our team in the Springfield, VA area. Responsibilities include, but are not limited to: Provide expert guidance on Enterprise Asset Management; Identify, recommend, and implement agreed upon leading industry practices, process methodologies, new technologies, and streamlined approaches that afford the client the ability to improve system performance. Provide support to maintain IBM's Maximo to ensure that all Maximo Users have a stable platform to perform daily operations; support reporting capabilities and requirements that streamline and reduce where possible, the manual input of existing data. Provide technical and business-level assistance, incident resolution, and daily support to the Maximo user community; maintain and enhance the functionality, reliability, availability, performance, stability, sustainability, and security of the Maximo application and its databases and tools. Implement best practices, create and improve existing Maximo workflows to manage work management, logistics, and property management processes; oversee the validation and testing of deliverable products in accordance with our customer's approved processes. Provide installations, customizations and design changes for software and hardware products; provide support to a wide array of customers as part of a complex team of multiple contractors and government personnel. Write SQL scripts to support various aspects of customer support and Maximo Development requirements; develop and manage queries, ad hoc reports, and KPI's. Manage and observe data quality and health throughout front-end database; ability to handle pressure and manage multiple tasks in a fast-paced environment. Minimum Qualifications: Bachelor's degree in Computer Science, Information Technology and 9 years of relevant experience. Experience with JavaScript, Linux/Unix, Perl, Shell, Java, Ruby, PHP, Python, Hands-On SQL, Microsoft ASP.NET MVC, Web API, Node.js. DoD 8570.01-M compliant, IAT II. (CCNA Security, CySA+, GICSP, GSEC, Security+, or SSCP) Troubleshoot and resolve issues related to OpenShift, Kubernetes, and Linux environments. Red Hat Certified Specialist in OpenShift Administration or similar certification. Requires understanding of the RedHat OpenShift cluster to include basic operations of backup, restore and failover/redundancy of services. Preferred Qualifications: 4+ years of Maximo Development experience. Maximo versions: at least Maximo 7.6. Able to work on upgrades and development on 7.6.1.2. Maximo modules: must be able to work on all Maximo modules and functionalities, including Work Order Management, Asset Management, Preventive and Corrective Maintenance, Configuration, Scripting, Report Development, Maximo Interfaces with other systems like ERP. Development and maintenance experience with Maximo including TRM rules, Maximo automation scripting, BIRT Reports Development, and work order reports. Provide service for GIS geodatabase editing, data creation and maintenance for applications and as needed. Experience of ArcGIS Server management tools to deploy and manage map and web services Clearance Requirements: Must have current/active TS/SCI clearance. Physical Requirements: Must be able to remain in a stationary position 50% The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, etc. Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine and computer printer. The person in this position frequently communicates with co-workers, management and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations.

Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. Like the look of this opportunity Make sure to apply fast, as a high volume of applications is expected Scroll down to read the complete job description. Work You'll Do Deloitte is seeking a Data Scientist to join a high-performing analytics team supporting our client in McLean, VA. In this on-site role, you will leverage your expertise in Python, Palantir Foundry, Jupyter notebooks, pandas, and NumPy to develop and maintain data pipelines, apply advanced machine learning techniques, and extract actionable insights from large, complex datasets. You will collaborate closely with mission operations teams and client stakeholders, presenting technical findings to audiences of varying technical backgrounds and responding to high-priority analytic requests. This position offers the opportunity to work on impactful, high-visibility projects at the forefront of national security, while fostering professional growth and innovation in data science and AI/ML solutions. Excellent communication skills and the ability to work effectively under pressure are essential for success in this dynamic environment. Develop, implement, and maintain data pipelines to process and analyze large, complex datasets in support of the client mission. Apply advanced data science techniques-including supervised and unsupervised machine learning, spatial analysis, and time-series modeling-to extract actionable insights for mission-critical operations. Build, test, and optimize analytic methodologies and AI/ML solutions for integration into user-facing technical tools. Collaborate directly with client stakeholders and mission operations teams to understand requirements, present findings, and tailor analytic solutions to evolving needs. Document code, workflows, and analytic processes following best practices to ensure reproducibility, transparency, and knowledge sharing within the team. Prepare and deliver clear, concise technical briefings and presentations to audiences ranging from technical peers to senior leadership and non-technical stakeholders. Respond rapidly to high-priority analytic requests, adapting to shifting mission priorities while maintaining high standards of technical rigor and communication. The Team Deloitte's Government and Public Services (GPS) practice - our people, ideas, technology and outcomes-is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively. Qualifications Required: Active TS/SCI Clearance w/ Polygraph Bachelor's degree in Computer Science, Engineering, or a related field. Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future Must be willing to work 100% onsite in McLean, VA. 4 + years of experience in Data Analytics, Data Science, and Data Engineering. 5 + years of experience in Advanced Python coding, and modeling. 2 + years of experience working with NumPy, Panda, and Spark. Preferred: 4 + years of experience building, testing, and optimizing AI/ML solutions. 1+ years of experience with pipeline and application development within Palantir Foundry. Active Python certification. Active Palantir Foundry certification. Previous Federal Consulting and/ or professional services experience. Previous experience presenting to clients or other decision makers to present ideas to various audiences (technical and non-technical). xevrcyc You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Information for applicants with a need for accommodation: CJ1 #LI-MW5 #DSJ

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Data Scientist, Sustainable Technology Job Overview: As the Senior Data Engineer / Scientist for Mastercard's Sustainable Technology, you will be the driving force behind the development and execution of cutting-edge data strategies and data environment frameworks. Your expertise will ensure the effective utilization of data, enabling the delivery of dependable Data & Analytics Services. You will collaborate with cross-functional teams and establish data-related best practices in alignment with Mastercard standards. Responsibilities: • Design, develop, and maintain new data capabilities and infrastructure for Mastercard's Sustainable Technology Internal Data Lake. • Create new data pipelines, data transfers, and compliance-oriented infrastructure to facilitate seamless data utilization within on-premise/cloud environments. • Identify existing data capability and infrastructure gaps or opportunities within and across initiatives and provide subject matter expertise in support of remediation. • Collaborate with technical teams and business stakeholders to understand data requirements and translate them into technical solutions. • Work with large datasets, ensuring data quality, accuracy, and performance. • Implement data transformation, integration, and validation processes to support analytics/BI and reporting needs. • Optimize and fine-tune data pipelines for improved speed, reliability, and efficiency. • Implement best practices for data storage, retrieval, and archival to ensure data accessibility and security. • Troubleshoot and resolve data-related issues, collaborating with the team to identify root causes. • Document data processes, data lineage, and technical specifications for future reference. • Participate in code reviews, ensuring adherence to coding standards and best practices. • Collaborate with DevOps teams to automate deployment and monitoring of data pipelines. • Additional tasks as required. All About You Education: • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field. Knowledge / Experience: • Proven experience as a Data Engineer / Scientist or similar role. • Deep understanding of data visualization, statistics, hypothesis testing, business intelligence tools, SQL, data cleaning, and data lifecycle management. • Proficiency in designing and implementing data tools, technologies, and processes. • Expertise in data engineering, ETL/ELT processes, data warehousing, and data modeling. • Strong command of data integration techniques and data quality management. • Hands-on experience with data technologies such as Hadoop, Spark, Python, SQL, Alteryx, NiFi, SSIS, etc. • Familiarity with cloud platforms and services, such as AWS, GCP, or Azure. • Excellent problem-solving skills and ability to provide innovative data solutions. • Strong leadership skills with a proven track record of guiding and mentoring a team. • 3+ years of experience in related field. • 3+ years of experience in delivering secure solutions in Financial Services Sector is preferred. • Broad understanding of Software Engineering Concepts and Methodologies is required. • Demonstrate MC Core Competencies. Skills/ Abilities: • Must be high-energy, detail-oriented, proactive and have the ability to function under pressure in an independent environment. • Experience building data pipelines through Spark with Scala/Python/Java on Hadoop or Object storage. • Expertise in Data Engineering and Data Analysis: implementing multiple end-to-end DW projects in Big Data Hadoop environment. • Experience working with databases like MS SQL Server, Oracle, and strong SQL knowledge. • Experience in BI tools like Tableau, Power BI. • Experience with Alteryx, SSIS, NiFi, Spark, Cloudera Machine Learning, S3 Protocol, PowerBI, NoSQL data structures, Splunk, Databricks, (added advantage) • Experience automating data flow processes in a Big Data environment. • Pulling in data from various monitoring platforms to aggregate and enable data science work to support ESG (ie sustainable impact) • Must provide the necessary skills to have a high degree of initiative and self-motivation to drive results. • Possesses strong communication skills -- both verbal and written - and strong relationship, collaborative skills and organizational skills. • Willingness and ability to learn and take on challenging opportunities and to work as a member of matrix based diverse and geographically distributed project team. Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. Pay Ranges O'Fallon, Missouri: $115,000 - $184,000 USD

Scroll down to find the complete details of the job offer, including experience required and associated duties and tasks. COMPANY is seeking a *Data Engineer* to join a cutting-edge initiative in support of the U.S. Department of Defense (DoD) in Germany. This role plays a vital part in delivering critical engineering and technical support services, with a strong emphasis on leveraging advanced data science and engineering solutions to drive mission success. *Position:* Data Engineer (Engineer IV) *Location:* Kaiserslautern, Germany *Clearance:* Secret Responsibilities include, but are not limited to, the following: Configure Data Pipelines: Design ETL Processes: * Extract, transform, and load (ETL) data from various sources including but not limited to DoD Advana and Army Vantage, into data warehouses or data lakes. * Ensure data is cleaned, normalized, and enriched during transformation. Build Data Pipelines: * Configure automated workflows to move data between systems using tools like Apache Airflow, AWS Glue, or Azure Data Factory. * Optimize pipelines for scalability and reliability. * Implement Real-Time Data Processing * Implement streaming data pipelines using tools like Apache Kafka, Apache Flink, or Spark Streaming. * Process and analyze data in real-time for applications like fraud detection or IoT analytics. Manage Data Storage: * Design Databases * Design and implement relational databases (e.g., MySQL, PostgreSQL) or NoSQL databases (e.g., MongoDB, Cassandra) based on project requirements. * Ensure efficient schema design and indexing for performance. Warehouse Data: * Build and maintain data warehouses using platforms like Snowflake, Amazon Redshift, or Google BigQuery. * Optimize storage and query performance for analytical workloads. * Support the Management of Data Lakes/Integrate within existing organizational policies. * Understand and interpret policies to better support the command with regards to integrating products into existing data lakes to ensure long-term sustainability. Integrate Data * Connect Data Sources * Integrate data from APIs, databases, flat files, and third-party systems. * Handle diverse data formats like JSON, XML, CSV, and Parquet.\\ * Migrate Data * Migrate data between systems during upgrades or transitions (e.g., moving from on-premises to cloud). * Configure APIs * Configure APIs to expose data for consumption by other systems or applications. * Manage Data Quality and Governance at the 21st TSC level in accordance with USAEUR-AF policies and guidance Validate Data * Implement checks to ensure data accuracy, completeness, and consistency. * Identify and resolve data anomalies or errors. Manage Metadata * Document data lineage, definitions, and transformations to ensure transparency and traceability. * Implement and manage Compliance and Security measures * Ensure data systems comply with regulations like GDPR, HIPAA, or CCPA. * Implement security measures such as encryption, access control, and auditing. * Work with internal teams within the Group to rectify or otherwise mitigate data quality issues in analyses and tool configuration being performed within the Group. * Work with PEOs and PMs of Systems of Record that provide feed the multiple data platforms to understand and correct data issues Job Requirements: Years of Experience combination of any of the following: Eighteen (18) years of recent specialized experience * Major IT Certification AND fourteen (14) years of recent specialized experience * Associate's degree in computer science, information management, or related discipline AND fourteen (14) years of recent specialized experience * Bachelor's degree in computer science, information management, or related discipline AND ten (10) years of recent specialized experience * Master's degree in computer science, information management, or related discipline AND seven (7) years of recent specialized experience * IA Technical Level II certification or higher: * CCNA-Security * CompTIA CySA+ * Global Industrial Cyber Security Professional (GICSP) * GIAC Security Essentials (GSEC) * CompTIA Security+ CE * EC-Council Certified Network Defense (CND) * (ISC)2 Certified System Security Practitioner (SSCP) Job Type: Full-time Pay: $135,000.00 per year Application Question(s): * Do you have a issue living in Kaiserslautern, Germany for 1-2 years. xevrcyc * What is your salary range? Education: * Bachelor's (Required) Experience: * recent specialized: 10 years (Required) License/Certification: * IAT Level II or higher (Required) Security clearance: * Secret (Preferred) Work Location: In person

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

Job Title: Data Scientist Location(s): 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) 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.

Job DescriptionDescription: Job Title: Senior Data and Wildfire Scientist Terms: Full Time 37.5 Hours Per Week Reports to: Director of Climate Finance About Us: The American Forest Foundation (AFF) unlocks the power of family forests as a climate solution while helping thousands of landowners care for their land and improve forest health. Through its Family Forest Carbon Program, AFF expands access to the voluntary carbon market for family forest owners from all walks of life while producing high quality forest carbon credits to help companies reach their net zero goals. The organization's strategic direction seeks to enable family forests to capture and store one billion tonnes of carbon by 2050. We do not do this alone. AFF works across a broad coalition of conservation partners, corporations, and policymakers to equip family forest owners with financial and technical support to implement sustainable forest management practices on their lands and activate their forests as a critical tool in the fight against climate change. AFF is in a mode of complex problem solving and rapid iteration. All teams at AFF are working to discover solutions to the planet's most pressing climate issues through developing and iterating viable and scalable models for impact. AFF is driven by values of our shared purpose, measurable and verifiable results, and learning for continuous improvement to tackle big conservation challenges. About the Role: The Senior Data and Wildfire Scientist will play a central role in strengthening the scientific and methodological foundations of AFF's programs, particularly the Fire Adapted Forests avoided emissions methodology and the Family Forest Carbon Program (FFCP). This position leverages expertise in data informatics, advanced statistical analysis, and remote sensing to build digital monitoring, reporting, and verification (dMRV) systems that ensure scientific credibility, market alignment, and scalability. The Senior Scientist's will also support AFF's work to better quantify ecosystem co-benefits - including biodiversity, water, and resilience outcomes - alongside carbon benefits, providing holistic and credible accounting of conservation impact. This role is within the Innovation Team of AFF and sits at the intersection of exploratory, data-driving approaches that help AFF achieve interdisciplinary science, methodology, and applied program delivery, helping to ensure AFF remains a leader in family forest climate solutions. Requirements: Responsibilities: Provide leadership for technical and science-based development of new carbon practices, project types, and quantification of co-benefits (including biodiversity, water, and community resilience) to expand AFF's methodologies and program offerings. Lead the development and implementation of risk quantification and mitigation strategies aligned with AFF's climate strategy, with a particular focus on market mechanisms to address wildfire risk and avoided emissions. Design and refine digital monitoring, reporting, and verification (dMRV) frameworks that integrate remote sensing, GIS, informatics, and field data across AFF's practice areas. Analyze large datasets using advanced statistical and geospatial tools to monitor carbon stocks, wildfire emissions avoidance, and ecological change over time. Conduct high-level research on forest carbon dynamics, including sequestration, avoided emissions, and forest health, with direct application to FFCP methodologies. Collaborate with AFF's wildfire, carbon, and science teams to ensure scientific rigor in methodological applications and monitoring frameworks. Support field teams in data collection protocols and provide QA/QC to ensure accuracy and consistency. Prepare grant proposals, scientific papers, reports, and technical documentation to support funding and share outcomes. Engage with external stakeholders - including researchers, standard-setting bodies, and market actors - to represent AFF and advance innovation in carbon accounting and dMRV. Candidate Requirements: Ph.D. or equivalent experience in forest ecology, data science, remote sensing, or related field. Demonstrated expertise in: Remote sensing and GIS applications (satellite, aerial, LiDAR). Advanced statistical analysis, informatics, and/or machine learning. Forest carbon dynamics, wildfire risk modeling, and ecological monitoring. Proven track record in methodological development for carbon accounting or environmental monitoring. Familiarity with carbon markets, ecosystem monitoring, and MRV/dMRV systems. Strong record of scientific publication and ability to communicate results to technical and non-technical audiences. Ability to collaborate effectively across interdisciplinary teams and with external partners. Core Competencies: Agility - Thriving in volatile, uncertain, complex and ambiguous environments by anticipating and responding to changes with swift, focused and flexible actions. Collaborating with Others - Working together with others in a cooperative and supportive manner to achieve shared goals. Ensuring Accountability - Holding yourself and others to high standards of accountability, creating an infrastructure and transparent organization culture that supports and measures personal and organizational responsibility and accountability. Problem Solving - Identifying problems and the solutions to them. Your contributions and leadership will be appreciated. Our staff is passionate, dedicated and good at what they do, and will be deeply grateful for your efforts to create and preserve an environment that is both fun and fair. Job Function Competencies: Scientific Rigor - Ability to design and implement methods that withstand peer and market scrutiny. Data-Driven Analysis - Skilled at managing large, complex datasets and generating actionable insights. Innovation - Applies creative approaches to methodological development and co-benefit quantification. Communication - Able to translate technical outputs into accessible insights for funders, landowners, and partners. What's attractive to the right candidate?: You have the unique and exciting opportunity to work with amazing colleagues, partners and landowners to help connect forest landowners with technical and financial assistance to better steward their land and achieve vital landscape-scale conservation impacts. Your contributions and leadership will be appreciated. Our staff is passionate, dedicated and good at what they do, and will be deeply grateful for your efforts to create and preserve an environment that is both fun and fair. We offer a flexible work environment that respects your life outside of work. Salary is commensurate with experience. AFF offers a comprehensive and competitive benefits package. Contact us to apply We know there are great candidates who may not check all these boxes, and we also know you might bring important skills that we haven't considered. If that applies to you, don't hesitate to apply and tell us about yourself. **************************************************** We are committed to creating a diverse work environment and proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status or any other basis protected by law.

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.

Every hour you save in the collection cycle is an hour the adversary doesn't get to move, hide, or change the picture. That's the difference between having intelligence when it matters and having it after it's too late. This is your chance to be a part of the National Geospatial-Intelligence Agency Source Office, directly supporting CENTCOM operations. You'll be building AI-powered tools that don't just analyze data, but initiate action. Your code will recommend complex collection strategies to Source Strategy Officers, trigger automated GEOINT collection without waiting for human approval, and get results into analysts' hands fast enough to change the outcome. You'll be integrating AI into real, operational systems-JEMA, GIMS, RemoteView, ArcPro, etc. and seeing exactly how your automation speeds up the fight of time. You'll watch the before-and-after difference your tools make and know you had a direct hand in changing the intelligence picture. If you've been waiting for the moment your AI actually drives how the U.S. collects intelligence, this is it. Join XTS today! Requirements You have a current active Top Secret / SCI clearance. You have achieved a Master's degree / Bachelor's degree + 2 years / Associate's degree + 3 years / 5+ years of relevant experience Advanced Python skills as you'll be writing automation and AI tools that have to run in live ops without failing. Experience with developing AI tools that can integrate with platforms like JEMA and GIMS to recommend mission-ready GEOINT collection strategies. If you're ready to see your code move faster than the adversary, shape decisions in real-time, and watch the difference you make in the fight for time, please send your resume directly to Lanchi Lai at [email protected] At XTS, we believe in taking care of our employees as much as we take care of our clients. As a veteran-owned company, we understand the importance of community, service, and fostering a culture where each team member can thrive. Our commitment to employee well-being is reflected in the comprehensive benefits and growth opportunities we offer. We offer tailored health care plans that fit your lifestyle, along with dental and vision coverage, paid time off (PTO), and a 401K with employer matching to secure your financial future. As we push forward in the rapidly evolving field of AI, XTS is committed to providing employees with tools and opportunities to stay ahead. We are proud to offer our GeoAI scholarship to help our employees further develop their skills and expertise in this cutting-edge field. We take pride in delivering elite workforces to the Intelligence Community, making a real-world impact on critical missions. Join us and experience a company that invests in your success and professional growth.

**What Data Science contributes to Cardinal Health** The Data & Analytics Function oversees the analytics lifecycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytics products, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. This role will support the Major Rugby business unit, a legacy supplier of multi-source, generic pharmaceuticals for over 60 years. Major Rugby provides over 1,000 high-quality, Rx, OTC and vitamin, mineral and supplement products to the acute, retail, government and consumer markets. This role will focus on leveraging advanced analytics, machine learning, and optimization techniques to solve complex challenges related to demand forecasting, inventory optimization, logistics efficiency and risk mitigation. Our goal is to uncover insights and drive meaningful deliverables to improve decision making and business outcomes. **Responsibilities:** + Leads the design, development, and deployment of advanced analytics and machine learning models to solve complex business problems + Collaborates cross-functionally with product, engineering, operations, and business teams to identify opportunities for data-driven decision-making + Translates business requirements into analytical solutions and delivers insights that drive strategic initiatives + Develops and maintains scalable data science solutions, ensuring reproducibility, performance, and maintainability + Evaluates and implements new tools, frameworks, and methodologies to enhance the data science toolkit + Drives experimentation and A/B testing strategies to optimize business outcomes + Mentors junior data scientists and contributes to the development of a high-performing analytics team + Ensures data quality, governance, and compliance with organizational and regulatory standards + Stays current with industry trends, emerging technologies, and best practices in data science and AI + Contributes to the development of internal knowledge bases, documentation, and training materials **Qualifications:** + 8-12 years of experience in data science, analytics, or a related field (preferred) + Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Engineering, Operations Research, Statistics, or a related discipline preferred + Strong programming skills in Python and SQL; + Proficiency in data visualization tools such as Tableau, or Looker, with a proven ability to translate complex data into clear, actionable business insights + Deep understanding of machine learning, statistical modeling, predictive analytics, and optimization techniques + Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable + Excellent communication and storytelling skills, with the ability to influence stakeholders and present findings to both technical and non-technical audiences + Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning and Natural Language processing (NLP). + Experience with PyTorch or other deep learning frameworks + Strong understanding of RESTful APIs and / or data streaming a big plus + Required experience of modern version control (GitHub, Bitbucket) + Hands-on experience with containerization (Docker, Kubernetes, etc.) + Experience with product discovery and design thinking + Experience with Gen AI + Experience with supply chain analytics is preferred **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 12/02/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote \#LI-AP4 _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

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. Navy Federal's Internal Audit team is in the midst of an exciting transformational journey to become a best in-class Audit function! It is our vision to be a preferred advisor to the business by building and cultivating trust through the consistent execution of high-quality and risk-focused audit and advisory work. We're focused on implementing efficient processes, maximizing our use of technology, integrating data analytics into everything we do, and investing in our biggest asset, our people. If this sounds like the type of team you'd like to be a part of, then we want to learn more about you! Support Internal Audit's evaluation of model risk frameworks and their ability to mitigate risk for individual models and in the aggregate. Conduct reviews of complex data science and machine learning models across the organization through audit engagements and technical reviews of models. Serve as a subject matter expert to Internal Audit staff, senior management and business partners on end-to-end life-cycle management of model development, implementation, ongoing monitoring, regulatory expectations, and industry modeling practices. 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. 5-7 years of experience in data analysis, statistical modeling or regression analysis, including language models, LLMs and/or Generative AI technologies Basic understanding of business and operating environment Statistics Programming, data modeling, simulation, and advanced mathematics SQL, R, Python, Hadoop, SAS, SPSS, Scala, AWS, Databricks Model lifecycle execution including model development, validation, and governance 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) Master's Degree in Data Science, Statistics, Mathematics, Computers Science, Engineering, or another quantitative or related field Desired Qualifications: Prior experience with enterprise risk management, model risk management, or internal audit Deep knowledge and experience with SR 11-7 and/or ASOP 56 Understanding of various models and modeling practices used in credit risk management, fraud detection, BSA/AML, operations, treasury & finance, marketing models, etc. Knowledge of one or more regulations such as CECL, CCAR, Anti-Money Laundering, ECOA, FCRA, etc. Advanced knowledge of Navy Federal Credit Union instructions, standards, and procedures Hours: Monday - Friday, 8:00AM - 4:30PM Locations: 820 Follin Lane, Vienna, VA 22180 | 5510 Heritage Oaks Drive, Pensacola, FL 32526 Responsible for assessing model governance processes including model inherent risk ratings, model validations, materiality of model changes, and other reviews of models as part of model -related governance audits. Leverages specialized technical approaches to develop, implement, and execute model testing plans for models that require expert model risk knowledge and skills. Executes independent internal audit reviews of models to ensure the independent model audit process compliant with the written risk and compliance policies and procedures at a subject matter expert level. Evaluates model development, implementation, and use as it pertains to elements of model conceptual soundness, model assumptions, modeling methodology, model limitations, data quality, ongoing monitoring, and other more complex elements of the model development process. 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

REQUIRED SKILLS • Demonstrated experience with the ability to understand and automate customer workflows and business processes with Al solutions • Demonstrated experience in data structures, data modeling, and software architecture • Demonstrated in-depth experience and knowledge of Inachine learning tools and frameworks such as PyTorch, Tensorflow, etc. • Demonstrated experience with extensive math and computer science skills, with a deep understanding of probability, statistics, and algorithms • Demonstrated experience in Al/ML specific programming languages, such as Python, Jav, C++, Conda, etc. • Demonstrated experience training Al Inodels, as well as in integrating pre-trained models into dataflows and software architectures. DESIRED SKILLS • Demonstrated experience implementing secure Al solutions in the Intelligence Community • Demonstrated experience working with highly sensitive data sets • Demonstrated experience in leading Al/ML initiatives • Demonstrated experience and in-depth knowledge of implementing ETL (Enhance/Transform/Load) pipeline • Demonstrated experience and in-depth knowledge in implementing solutions in Alnazon Web Services • Demonstrated experience with very strong problem solving and critical thinking skills • Demonstrated experience performing in a collaborative team environment.

Senior Manager - Senior Data Scientist and Program Manager-ANA019699Ready to shape the future of work? At Genpact, we don't just adapt to change-we drive it. AI and digital innovation are redefining industries, and we're leading the charge. Genpact's AI Gigafactory, our industry-first accelerator, is an example of how we're scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies' most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that's shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact. com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Senior Manager - Senior Data Scientist and Program Manager!We are seeking a results-oriented professional with strong leadership and analytical acumen to lead our Data Analytics and Pricing Team within the aviation business vertical. The ideal candidate will have hands-on expertise in forecasting, statistical modelling and pricing strategies, combined with the ability to drive team performance and business growth through data-driven decision-making. ResponsibilitiesLead and mentor a cross-functional analytics team ensuring timely and accurate delivery of insights and reports. Manage end-to-end pricing processes, including fare modeling, competitor benchmarking, and market trend analysis. Develop and maintain forecasting models to support strategic planning, revenue optimization, and budget projections. Implement predictive analytics frameworks to anticipate market behavior and guide pricing strategies. Collaborate with business development teams to identify new opportunities using data-driven insights. Oversee the design, automation, and deployment of dashboards and reporting tools using Excel, Python, VBA and Spotfire. Ensure the team's outputs align with organizational objectives and performance benchmarks. Partner with research and market analysis units to interpret complex data sets into actionable intelligence. Drive continuous improvement through the adoption of advanced analytical methods and visualization techniques. Contribute to strategic initiatives and project management efforts across key aviation business units. Qualifications we seek in you!Minimum QualificationsBachelor's degree in Aeronautical Engineering or a related quantitative discipline. Minimum of 10+ years of experience within the aviation industry, with a focus on data analytics, forecasting, or pricing functions. An MBA in Business Analytics, Finance, or Strategy will be considered a strong advantage. Experience in business development and market research functions preferred. Preferred Qualifications/ SkillsRequired Professional CompetenciesProven experience in team leadership and project management within a data analytics or pricing environment. Strategic mindset with strong problem-solving and decision-making abilities. Effective communication and stakeholder management skills to present complex insights in business-friendly terms. Analytical & Technical SkillsStatistical modeling, forecasting, and data analytics proficiency. Advanced command of Excel, VBA Macros, Spotfire, Tableau and Python. Familiarity with process design tools such as Miro for workflow optimization. Experience in predictive analytics and quantitative research methodologies. Strong ability to interpret large data sets and deliver business-oriented recommendations. Key AttributesAnalytical thinker with a passion for data-driven decision-making. Proactive leader capable of managing diverse teams and competing priorities. High attention to detail and commitment to quality deliverables. Continuous learner, adaptable to emerging analytical tools and techniques. Why join Genpact? Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let's build tomorrow together. The approximate annual base compensation range for this position is [$110,000 to $130,000]. The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant's experience, knowledge, skills, and abilities; geographic location; and internal equity “Los Angeles, California based candidates are not eligible for this role. Cicinnati, OH area candidates are eligible for this role only. ” Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. Job Senior ManagerPrimary Location USA-AlexandriaSchedule Full-time Job Posting Nov 13, 2025, 1:43:59 PMUnposting Date Jan 12, 2026, 6:29:00 PM

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead Data Scientist Overview The Security Solutions Data Science team is responsible for creating deep learning Artificial Intelligence (A.I.) and Machine Learning (M.L.) models. The models generated are production ready and created to back specific products in Mastercard's authentication and authorization networks. The Data Science team is also responsible for developing automated processes for creating models covering all modeling steps, from data extraction up to delivery. In addition, the processes must be designed to scale, to be repeatable, resilient, and industrialized. You will be joining a team of Data Scientists and engineers working on innovative A.I. and M.L. attack detection, fraud detection, and anti-money laundering solutions. Our innovative cross-channel AI solutions are applied in Fortune 500 companies in industries such as fin-tech, investment banking, biotech, healthcare, and insurance. We are pursuing a highly motivated individual with strong problem-solving skills to take on the challenge of structuring and engineering data and cutting-edge A.I. model evaluation and reporting processes. Role As a Lead Data Scientist, you will: • Work closely with the business owners to understand business requirements, performance metrics regarding data quality and model performance of customer facing products • Lead the development of advancing attack detection models • Oversee implementation of data and model development pipelines • Explore anomalous and fraudulent patterns or trends for feature discovery and enhance attack detection model performance • Manage the testing of trained models to ensure their robustness and assess their readiness for deployment All About You Essential Skills: • Data science and data engineering experience • Knowledge of model optimization techniques and the ability to work closely with data scientists implementing and optimizing models within big data pipelines • Experience with deep learning frameworks (TensorFlow, PyTorch, Keras) and holds strong grasp over data science and machine learning concepts, such as multiple of XGBoost/LightGBM/GBM, Isolation Forest, and clustering • Strong background in statistics, probability, and linear algebra as applied to machine learning models. • Experience with SQL language and one or multiple of the following database technologies: Hadoop, Spark, PostgreSQL. • Good knowledge of Linux / Bash environment • Python, Pyspark • Good communication skills • Highly skilled problem solver • Exhibits a high degree of initiative and critical thinking • Graduate degree in CS, or a STEM related field. • Demonstrated ability to independently contribute to overall team objectives. Nice to have: • Experience building payment attack or fraud detection models • Experience in timeseries modeling techniques • Ph.D. degree in CS, Data Science, Machine Learning, AI or a related STEM field • Experience in with data engineering in PySpark on petabyte scale data • Understands and implements methods to evaluate own work and others for error • Loves working with error-prone, messy, disparate, unstructured data Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Pay Ranges O'Fallon, Missouri: $138,000 - $221,000 USD

Job Title: Senior Data Scientist Workplace: On-site Clearance Required: TS/SCI with willingness to sit for CI Polygraph We are seeking a talented and motivated Senior Data Scientist with expertise in statistical analysis, artificial intelligence and machine learning, to join our team. In this role, you will be responsible for developing advanced algorithms and data-driven solutions that address complex challenges for our customers within the U.S. Intelligence Community. In addition, were looking for someone interested in growing as a leader. Roles and Responsibilities: Support client strategies through the creation of automated collection models, dynamic analytic models, workflow automations, and any other automation processes and products as assigned. Refine, enhance, and improve the operational performance of any automated solution through the evaluation of performance data, regular customer interaction, and a standardized maintenance cycle. Apply data science and visual programming tradecraft to support and streamline analysis tasks as identified by stakeholders and the government. Enhance technical solutions to problems related to IC intelligence integration, automated collections, tipping and cueing, information sharing, and visualization. Conduct extensive collections and analytic modeling, data processing, data mining, and visualization. Conduct gap analysis on existing technologies and processes. Provide communication to customers on the progress for projects, processes, and emerging technologies as they become available. Clearly communicate data-driven findings and automation to technical and non-technical audiences. Conduct customer elicitation to identify processing problems due to procedures, tools, and services; work arounds that may need a permanent solution; and gaps in tools and technology. Train and integrate new tools, processes, and capabilities to be used in collection orchestration. Provide support for emerging requirements as assigned by the government. Position Requirements: Required Clearance: TS/SCI with willingness to sit for CI Polygraph Required Education: Bachelor's degree in a relevant field Required Skills / Experience: 6+ years of Data Science experience 3+ years of experience with a programming language, preferably Python 3+ years of experience with a querying language, preferably SQL Experience in AI/ML/DS Excellent communication skills with experience briefing/presenting to senior leaders Ability to manage multiple simultaneous technical projects Preferred Skills and Qualifications: Master's degree in a relevant field with 4+ years of experience Database management A continuous learning mindset Team leadership experience Good interpersonal skills - ability to build strong relationships with customers, teaming partners, and co-workers 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.

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.

**_What Data Science contributes to Cardinal Health_** The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. **_Responsibilities_** + Lead the Development of Innovative AI solutions: Be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry by leveraging your expertise in areas such as Machine Learning, Generative AI, and RAG Technologies. + Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. + Explore and leverage the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. + Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs. + Shape Our AI Strategy: Work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. + Act as a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives. + Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth. + Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care. **_Qualifications_** + 8-12 years of experience with a minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth + Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model. + Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. + Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred. + Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred. + Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred. + Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred. + Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling preferred. + Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments preferred. + Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems preferred. + Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations preferred. + Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices preferred. + Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle preferred. **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $121,600 - $173,700 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 11/05/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Ready to shape the future of work? At Genpact, we don't just adapt to change-we drive it. AI and digital innovation are redefining industries, and we're leading the charge. Genpact's AI Gigafactory, our industry-first accelerator, is an example of how we're scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies' most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that's shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting applications for the role of Senior Manager - Senior Data Scientist and Program Manager! We are seeking a results-oriented professional with strong leadership and analytical acumen to lead our Data Analytics and Pricing Team within the aviation business vertical. The ideal candidate will have hands-on expertise in forecasting, statistical modelling and pricing strategies, combined with the ability to drive team performance and business growth through data-driven decision-making. Responsibilities * Lead and mentor a cross-functional analytics team ensuring timely and accurate delivery of insights and reports. * Manage end-to-end pricing processes, including fare modeling, competitor benchmarking, and market trend analysis. * Develop and maintain forecasting models to support strategic planning, revenue optimization, and budget projections. * Implement predictive analytics frameworks to anticipate market behavior and guide pricing strategies. * Collaborate with business development teams to identify new opportunities using data-driven insights. * Oversee the design, automation, and deployment of dashboards and reporting tools using Excel, Python, VBA and Spotfire. * Ensure the team's outputs align with organizational objectives and performance benchmarks. * Partner with research and market analysis units to interpret complex data sets into actionable intelligence. * Drive continuous improvement through the adoption of advanced analytical methods and visualization techniques. * Contribute to strategic initiatives and project management efforts across key aviation business units. Qualifications we seek in you! Minimum Qualifications * Bachelor's degree in Aeronautical Engineering or a related quantitative discipline. * Minimum years of experience within the aviation industry, with a focus on data analytics, forecasting, or pricing functions. * An MBA in Business Analytics, Finance, or Strategy will be considered a strong advantage. * Experience in business development and market research functions preferred. Preferred Qualifications/ Skills Required Professional Competencies * Proven experience in team leadership and project management within a data analytics or pricing environment. * Strategic mindset with strong problem-solving and decision-making abilities. * Effective communication and stakeholder management skills to present complex insights in business-friendly terms. Analytical & Technical Skills * Statistical modeling, forecasting, and data analytics proficiency. * Advanced command of Excel, VBA Macros, Spotfire, Tableau and Python. * Familiarity with process design tools such as Miro for workflow optimization. * Experience in predictive analytics and quantitative research methodologies. * Strong ability to interpret large data sets and deliver business-oriented recommendations. Key Attributes * Analytical thinker with a passion for data-driven decision-making. * Proactive leader capable of managing diverse teams and competing priorities. * High attention to detail and commitment to quality deliverables. * Continuous learner, adaptable to emerging analytical tools and techniques. Why join Genpact? * Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation * Make an impact - Drive change for global enterprises and solve business challenges that matter * Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities * Work with the best - Join 140,000 bold thinkers and problem-solvers who push boundaries every day * Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let's build tomorrow together. The approximate annual base compensation range for this position is [$110,000 to $130,000]. The actual offer, reflecting the total compensation package plus benefits, will be determined by a number of factors which include but are not limited to the applicant's experience, knowledge, skills, and abilities; geographic location; and internal equity "Los Angeles, California based candidates are not eligible for this role. Cicinnati, OH area candidates are eligible for this role only." Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training. '1653015

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Lead, AI Data Engineer Mastercard Security Services is responsible for acquiring, engaging, and retaining customers by managing fraud and risk, enhancing cybersecurity, and improving the digital payments experience. We provide value-added services and leverage expertise, data-driven insights, and execution. The Cyber and Fraud Solutions Data Science team develops AI products to help issuers, acquirers, and merchants fight fraud. As a Lead AI Data Engineer, you will play a pivotal role in designing scalable data pipelines, building robust feature engineering workflows, and creating shared tools that empower data scientists across the organization. You will also lead efforts to integrate data pipelines with model APIs and support production-grade AI systems. Responsibilities: -Lead the development of scalable, high-performance data pipelines for structured and unstructured data used in AI/ML models. -Design and manage feature stores to ensure consistent feature computation across training and inference environments. -Collaborate with ML Engineering and ML Ops teams to build and maintain data quality and drift monitoring systems. -Develop AI microservices that integrate data pipelines with model APIs for real-time and batch inference. -Recommend and implement improvements to data quality, efficiency, and pipeline resilience. -Partner with cross-functional teams to deliver robust analytical solutions using Mastercards global data assets. -Organize and maintain tools for data transfer, mining, cleaning, processing, and validation. -Contribute to the development of scalable AI infrastructure and reusable components for enterprise-wide use. Required Skills: -Proven experience in Python and SQL for scripting, automation, and data integration. -Hands-on experience with big data technologies such as Spark, Kafka, Hive, Impala, Airflow, and NiFi. -Familiarity with relational databases (PostgreSQL, Oracle) and cloud platforms (preferably AWS). -Experience building and managing feature engineering workflows and feature stores. -Understanding of ML workflows, including model training, inference, and monitoring. -Experience with CI/CD tools (GitHub Actions, Jenkins) and infrastructure automation (Terraform). -Strong knowledge of Linux/Unix systems and shell scripting. -Excellent communication and collaboration skills, with the ability to work across technical and non-technical teams. -Subject matter expertise in payments, fraud, or cybersecurity or a demonstrated ability to quickly learn new domains. -Creative, curious, and innovative mindset with a passion for solving complex problems. Nice to Have: -Experience with AWS cloud services for data engineering and ML workflows. -Hands-on experience with Databricks, including Medallion Architecture and Delta Lake Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard's security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines. In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. Pay Ranges O'Fallon, Missouri: $138,000 - $221,000 USD