Data scientist jobs in Towson, MD

Mercor is hiring a Data Engineer on behalf of a leading AI lab. In this role, you'll **design resilient ETL/ELT pipelines and data contracts** to ensure datasets are analytics- and ML-ready. You'll validate, enrich, and serve data with strong schema and versioning discipline, building the backbone that powers AI research and production systems. This position is ideal for candidates who love working with data pipelines, distributed processing, and ensuring data quality at scale. * * * ### **You're a great fit if you:** - Have a background in **computer science, data engineering, or information systems**. - Are proficient in **Python, pandas, and SQL**. - Have hands-on experience with **databases** like PostgreSQL or SQLite. - Understand distributed data processing with **Spark or DuckDB**. - Are experienced in orchestrating workflows with **Airflow** or similar tools. - Work comfortably with common formats like **JSON, CSV, and Parquet**. - Care about **schema design, data contracts, and version control** with Git. - Are passionate about building pipelines that enable **reliable analytics and ML workflows**. * * * ### **Primary Goal of This Role** To design, validate, and maintain scalable ETL/ELT pipelines and data contracts that produce clean, reliable, and reproducible datasets for analytics and machine learning systems. * * * ### **What You'll Do** - Build and maintain **ETL/ELT pipelines** with a focus on scalability and resilience. - Validate and enrich datasets to ensure they're **analytics- and ML-ready**. - Manage **schemas, versioning, and data contracts** to maintain consistency. - Work with **PostgreSQL/SQLite, Spark/Duck DB, and Airflow** to manage workflows. - Optimize pipelines for performance and reliability using **Python and pandas**. - Collaborate with researchers and engineers to ensure data pipelines align with product and research needs. * * * ### **Why This Role Is Exciting** - You'll create the **data backbone** that powers cutting-edge AI research and applications. - You'll work with modern **data infrastructure and orchestration tools**. - You'll ensure **reproducibility and reliability** in high-stakes data workflows. - You'll operate at the **intersection of data engineering, AI, and scalable systems**. * * * ### **Pay & Work Structure** - You'll be classified as an hourly contractor to Mercor. - Paid weekly via Stripe Connect, based on hours logged. - Part-time (20-30 hrs/week) with flexible hours-work from anywhere, on your schedule. - Weekly Bonus of **$500-$1000 USD** per 5 tasks. - Remote and flexible working style.

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

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. The Northrop Grumman Microelectronics Center (NGMC) within Northrop Grumman Mission Systems is seeking an exceptionally talented, motivated, and creative Staff Data Scientist for our Advanced Technology Lab (ATL) - located outside of Baltimore, Maryland - where we develop, design, manufacture, and test novel technologies. ATL's semiconductor foundry provides unique leading-edge capability in microelectronic devices including semiconductors (Silicon, Gallium Arsenide, Gallium Nitride, Silicon Carbide) and superconductors. Our devices have enabled multiple generations of Northrop Grumman's radar and space systems, among others. Join us for the chance to work with an amazing, experienced, and talented team while helping serve your country. Enjoy the opportunity to grow and learn through a variety of challenging projects in R&D, ongoing long-term programs, and new programs targeting future military platforms. The selected candidate should have an aptitude for technology development, be resourceful and be strong team participants, as well as demonstrating an ability to communicate well with others. **Job Responsibilities** + Design, develop, and maintain scalable Extract, Transform, and Load (ETL) pipelines utilizing Python and SQL. + Data preparation/cleaning, integration, and automation from heterogeneous sources. + Design, develop, and maintain automated data visualizations for example in Tableau. + Ensure data integrity and system availability. + Identify and evaluate emerging AI/ML technologies and trends and drive their adoption where appropriate. \#NGATL **Basic Qualifications** + Bachelor's Degree in Physics, Materials Engineering, Electrical Engineering, Computer Engineering, Data Science or any related degree with 12 years technical related experience in microelectronics industry, or Master's Degree with 10 years experience; PhD with 8 years experience + Knowledge of data gathering, cleansing and transformation techniques + Experience with common data science toolkits such as TensorFlow and PyTorch. + Fluent with Python or Matlab. + Knowledge of best practices in data analysis. + Your ability to transfer and maintain the final adjudicated government secret clearance and any program access(es) required for the position within a reasonable period of time, as determined by the Company. + Ability to obtain Secret-level clearance + US Citizenship required **Preferred Qualifications** + Experience with computer vision including image classification + Extract, Transform & Load (ETL) techniques and frameworks experience + Experience researching and developing novel AI methods especially in Foundational AI. + Familiarity with Deep Reinforcement Learning, including Multi-Agent + Domain knowledge in sensing, microelectronics or semiconductor fabrication. + Experience with data platforms (e.g., Palantir, Databricks, Denodo, etc.) + Project / Program Management skills (proposal creation, scheduling, budget tracking) + Ability to obtain TS/SCI clearance + Ability to travel 10-15% of the time Primary Level Salary Range: $179,600.00 - $269,400.00 The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business. The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates. Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit *********************************** U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

NCQA is hiring a Data Scientist! The scientist will lead and support a broad range of data-driven research initiatives across grants, contracts and internal strategic projects. This role applies advanced analytic methods and research design to evaluate care delivery models, patient experiences, access to care, and behavioral health services. The scientist collaborates across departments and with external stakeholders to develop and execute rigorous qualitative and quantitative analyses, ensuring scientific integrity and methodological soundness. Projects may include the development and validation of health care quality measures, assessment of innovative care models, evaluation of provider and health plan performance, and exploration of trends in utilization and outcomes. Populations of focus often include individuals with complex care needs, older adults, and children. Through this work, the Data Scientist generates insights that inform national standards, support policy development, and advance improvements in health system performance. Responsibilities: Present analytic results in meetings, develop PowerPoint presentations, and create written documents for internal and external customers which include descriptions of methods, relevant literature, and other background material to provide context for the results. Effectively conducts programming tasks and statistical analysis including preparation and cleaning of data, implementation and refinement of statistical methods, preparation of visualizations and formatted tables of results, creation of databases and other outputs, and verification of the accuracy of results under the guidance of senior data science staff. Participate in quality assurance processes by reviewing code and all deliverables for accuracy. Complete all code documentation and follow department standardized processes. Enhance NCQA reputation for data analysis in performance measurement through provision of information for NCQA's advisory meetings, publications, and other reports as requested. Present research results orally and in writing to customers and other researchers incorporating descriptions of methods, relevant literature, and other background material to provide context for the results. Support NCQA's research and performance measurement activities by investigating data and developing data design and data structures related to the project. Look at the data from different angles, explore what the data means, and recommend viable ways to analyze it. Assess data for trends, patterns, noise, and data quality. In consultation with senior data scientists, support the development of research plans, such as database design, program design, selection of statistical methods, creation of project timelines, and development of formats for presenting results to meet customer needs. Consult on product development, data collection, scoring, and measure development. Support the preparation of memos and close out reports to contribute to knowledge management and documentation. Requirements: Master's degree with experience in health services research, applied statistics, sociology, or a combination of education and experience which demonstrates the necessary skills and abilities required to succeed in data analysis. 3+ years combination of master's level and work experience addressing scientific, technical or policy. Strong programming skills in at least one of the following data coding languages - R, SAS or Python. Strong programming background, 3+ years experience analyzing datasets. Profound knowledge of word processing, spreadsheet, and database applications. Skilled at developing and applying univariate and multivariate modeling techniques, hypothesis testing. Strong policy communication skills for supporting research teams. Compensation & Benefits: For new hires, this position pays in the range of $90K - $125K per year, depending on experience. This position is eligible for an annual incentive bonus, payable in accordance with policy. Click here for employee benefit information. NCQA is committed to being an employer of choice and fostering an inclusive culture and workplace. We are an Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities NCQA is a drug free workplace. NCQA recruits, hires, trains and promotes individuals, and administers any and all personnel actions, without regard to race, color, religion, national origin, age, sex, pregnancy, citizenship, familial status, disability status, veteran status, genetic information, or other protected statuses under applicable state and federal laws. NCQA will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information. 41 CFR 60-1.35(c).

Who We Are Marketbridge is a growth consulting and marketing firm dedicated to helping modern leaders accelerate performance with no signal loss from strategy through execution. We combine management consultancy with marketing agency expertise, all backed by marketing science, creative problem-solving, and technological know-how. Our integrated approach brings together teams, technology, data, strategies, processes, and plans to fuel sustainable revenue growth and build deeper, more resonant customer relationships. We partner with some of the world's largest and most ambitious brands, providing innovative solutions that drive commercial agility and long-term success. Who We're Looking For Marketbridge is looking for a Data Scientist to support program strategy and execution to help clients improve their marketing and sales outcomes. The Data Scientist will be part of a project team and play a key role in helping our clients measure marketing's effectiveness and optimize marketing mix to drive results. You will quickly work with clients to solve some of their most pressing problems, leveraging a variety of tools and methods including quantitative analysis, model development, and market research. Responsibilities Model Development: Investigate, suggest, and attempt new model builds including Marketing Mix Models (MMM) and Multi-Touch Attribution (MTA) Project and Client Management: Communicate with clients regarding data outputs, create technical slides for project deliverables, and flag roadblocks that may impede on-time delivery Internal Collaboration: Participate in brainstorms and troubleshooting, partner with Lead Data Scientist and Project Manager to outline modeling approach and data sources, and support and mentor junior Analysts Qualifications This position is for those with significant analytics experience who are looking for an opportunity to use data, research, and best practices to help improve clients' sales and marketing strategies while increasing the responsibility and autonomy over their workstreams. We are looking for someone who: Has 2+ years of experience in data-driven consulting, market research, and data science Has a background in highly quantitative hard sciences (advanced math, computer science, or economics) or highly quantitative social sciences Is comfortable using big or small data environments to answer questions and then develop an overall story about what the analysis means Can integrate stimulus, response, and control data from a variety of sources including agencies, internal systems, and technology platforms Has experience in econometric techniques, including panel data, ridge regression, and multiple functional forms as well as machine learning techniques Demonstrates strong coding skills in R and/or Python, including data munging Is adept at creating reproducible deliverables (Rmarkdown, notebooks, etc.) Has experience with version control (git, github, etc.) and modern data storage (MapReduce, Spark) Note: This position requires the ability to work in the United States without visa sponsorship. MarketBridge is an Equal Opportunity Employer. The ideal candidate will: Can balance multiple projects at one time, under tight deadlines Has excellent written and oral communication, presentation, and analytical skills Is extremely conscientious, with a strong attention to detail and excellent organizational skills Be proactive and start projects with little prodding Our Culture At Marketbridge, we pride ourselves on fostering an entrepreneurial culture filled with intellectually curious, high-spirited individuals committed to making a tangible impact each day. We value our people as our greatest asset, offering a workplace where high performers are acknowledged and rewarded. Working here means joining a team of the brightest minds in the industry, in an environment that champions professional growth and development through a mix of personal initiatives and company-supported learning. We believe in empowering our employees to own their career paths, supported by management guidance and organizational resources. We are proud to have been named one of The Washington Post's 2024 Top Workplaces in the Washington, D.C. area! We provide a benefits experience centered around wellness. It is important to us that every Marketbridger feels cared for and valued. Industry competitive compensation and performance-based bonuses Generous paid time off including vacation, holidays, sick leave, maternity/paternity leave, and Friday Summer hours A wide array of healthcare options including medical, dental, and vision coverage 401(k) savings plan with company match Marketbridge-led Social Committee Referral bonus program Mentor program for new hires This role is a hybrid role based out of our Bethesda, MD office. The salary range for this role is $100,000-$125,000 with an eligible annual bonus of up to 15%.

Job DescriptionOverview DRT Strategies delivers expert management consulting and information technology (IT) solutions to large federal agencies, the U.S. Navy, state and local government and commercial clients in health care, technology, and financial services industries. The three letters of our name, DRT, stand for Driving Resolution Together, which is the core philosophy on which the company was founded. That is, we collaborate with our clients to solve their most pressing challenges - together. We are problem solvers dedicated to your success, combining Fortune 500 experience with small business responsiveness. We have established a reputation with our clients as a forward-thinking consulting firm with demonstrated success in implementing solutions that lead to meaningful results. Our world-class consultants unite people to work collaboratively to achieve project goals and make vision a reality. Project Description: This project is designed to support FDA CDER Office of Quality Surveillance (OQS) with developing and implementing modern and innovative techniques to achieve comprehensive surveillance and estimate the state of quality. The objective of this project is to conduct thorough research and implement efficient methods for ingesting publicly available regulatory data. The contractor will provide support for data extraction and analytics that are needed to enhance OQS's dossier program. Job Summary: The Clinical Data Scientist serves as a technical specialist leveraging expertise in data science, computer science, mathematics, and statistics to transform complex clinical data into actionable insights. This role is responsible for designing and implementing advanced data modeling and data mining processes, creating algorithms, and developing predictive models to uncover hidden patterns within the data. Key analytical activities include utilizing techniques such as time-series analysis, trend analysis, machine learning (including clustering, Natural Language Processing, and outlier identification) to maximize data value, foster a proactive approach, and effectively identify high-risk facilities. Responsibilities: Data Extraction & Engineering: Utilize data mining techniques and web scraping tools to extract valuable information from various sources. Manage and process data effectively by applying knowledge of data types, formats, architecture, and pipeline optimization techniques. Data Analysis & Interpretation: Apply expertise in analytics and statistics (including BI, reporting, and data transformation) to analyze and interpret data, driving business insights. Perform hands-on work with data analysis, validation, and quality assurance. Strategy & Problem Solving (Technical Strategy): Apply analytical and critical thinking skills to identify new issues, trends, and opportunities from data. Research and identify root causes for data issues. Identify gaps in the system and communicate them to solution project leads or program managers. Operational Excellence & Delivery: Ensure the reliability, efficiency, and quality of data services and pipelines. Ensure the timely delivery of reports, manage conflicting priorities, and meet customer expectations. Communication: Prepare and deliver presentations. Perform periodic check-ins for status and feedback. Required Experience: Minimum 5 years of experience in analytics, biopharmaceutical manufacturing, quality analytics, biotechnology R&D, or related research programs. Technical Expertise: Minimum 3 years of Full Stack Data Scientist experience, including proven ability to apply expertise in web scraping, time-series analysis, and machine learning techniques. Required expertise in Python, R (including RShiny), PySpark/Spark, and Advanced SQL. Strong Git and collaborative development experience. Familiarity with a broad range of ML techniques and their implementation. Preferred: Databricks experience. Analytical & Communication Skills: Excellent analytical skills with an emphasis on data exploration and data wrangling. Excellent written and verbal communication skills. Preferred Experience: FDA experience PhD preferred Biological science/pharmaceutical background. Education & Training: MS in a technical, quantitative field (e.g., Computer Science, Engineering, Statistics, or related). Salary Range: $95,000-$125,000 Salary commensurate with experience. DRT Strategies, Inc. (DRT) follows the guidelines outlined by the Equal Employment Opportunity Commission (EEOC) to provide all employees and qualified applicants employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related conditions, transgender status, and sexual orientation), national origin, age, genetic information, disability, protected veteran status, or any other protected characteristic under federal, state, or local law. Reasonable accommodations for applicants and employees with disabilities will be provided. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Human Resources by emailing ********************, or by dialing ************. For additional information, please review the Know Your Rights: Workplace Discrimination is Illegal, E-Verify (English), E-Verify (Spanish). Right to Work (English), Right to Work (Spanish). Please be aware of recruitment fraud where malicious individuals might pose as DRT Strategies. Only job postings and emails from drtstrategies.com are authentic and legitimate communications regarding DRT Strategies employment opportunities. Please contact Human Resources at ******************** if you believe you have received a fraudulent email. Powered by JazzHR cybfv HfnJq

Virtualitics, Inc. is an advanced analytics company that helps enterprises and governments make smarter business decisions, faster with ready-to-use AI that can be understood-by analysts and business leaders alike. Our AI platform allows organizations to rapidly process complex data into powerful multi-dimensional graph visualizations, and predict future business outcomes with clear, explainable no-code AI modeling. Virtualitics puts AI into use across the enterprise with enhanced analytics that's easily integrated into the flow of work. Our patented technology is based on over 11 years of research at the California Institute of Technology and NASA Jet Propulsion Laboratory. The platform has been deployed across Department of Defense agencies, Federal Civilian agencies, and Fortune 500 companies. We're proud to have been recently named as one of the Air Force's "big bets" on emerging technology and Built In's top companies to work for in 2022! Our fast-growing team is looking for a skilled, motivated and reliable Data Scientist TS/SCI to help grow our company. What you'll do Use the capabilities of the Virtualitics AI Platform to deploy production solutions for our customers. Work with customer data and own the development of an AI solution from ideation to production Leverage integrations with big data frameworks (e.g. Databricks) as needed to develop solutions for customers. Your qualifications Must have an active TS/SCI security clearance and be willing to work from an SCIF. Must be located in or near Washington DC/Northern Virginia to be able to access relevant SCIFs. Regular travel anticipated to client sites/military bases. Degree in Computer Science. 3+ years of experience writing production-ready code in Python. 3+ years of experience with Python Data Stack: pandas, numpy, sklearn, TensorFlow, PyTorch, matplotlib, etc. 1 year of experience deploying a machine learning model in a production environment. 1-2 years of experience with SQL/NoSQL or other database systems (elasticsearch, graph databases, etc.). 3 years of experience with Git (or an alternative version control tool). 1 year of Experience with Docker and/or Kubernetes. A strong sense of ownership and accountability. Excellent written and verbal communication skills in English Pluses Demonstrated experience in leading the development efforts for a project from a SCIF. Experience with Cyber Analytics, PCAP and network monitoring, CVEs and Cyber Vulnerabilities, etc. 1 year of experience integrating applications with at least one of Spark, Dask, Snowpark or Kafka. 1 year of experience with technologies like task schedulers (e.g. Celery, Airflow, Prefect, etc.) and web-app development stacks (e.g. Flask/Django) You will be required to obtain and maintain an interim and/or final security clearance. Failure to obtain and maintain the required level of clearance may result in the withdrawal of a job offer or removal. What We Offer You We are a team of ambitious individuals who are passionate about creating a revolutionary software company. At Virtualitics, you will have a significant career development opportunity and a chance to contribute to one of the fastest-growing startups in Southern California. Our benefits include highly competitive pay, equity, fully paid health, vision, and dental insurance for you + your dependents, and unlimited PTO. Virtualitics is committed to building a company where every individual can bring their full impact and reach their fullest potential. Our mission is to build a diverse and inclusive environment where talented people of all cultures, ages, perspectives, opinions, education, backgrounds, races, gender identity, religions, orientations, abilities, and beliefs can grow and thrive with Virtualitics.

A data scientist will develop machine learning, data mining, statistical and graph-based algorithms to analyze and make sense of datasets; prototype or consider several algorithms and decide upon final model based on suitable performance metrics; build models or develop experiments to generate data when training or example datasets are unavailable; generate reports and visualizations that summarize datasets and provide data-driven insights to customers; partner with subject matter experts to translate manual data analysis into automated analytics; implement prototype algorithms within production frameworks for integration into analyst workflows. A Bachelor's degree from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering or computer science). At least one year of experience analyzing datasets and developing analytics. One year of experience programming with data analysis software such as R, Python, SAS, or MATLAB. Experience in software development, cloud development, analyzing datasets, or developing descriptive, predictive, and prescriptive analytics preferred. Not sure if you're a fit? Submit your resume and we will contact you via email to let you know!

Clearance Level Required: Requires a Top Secret (TS/SCI) Clearance with a Polygraph. The Mission: Square Peg Technologies is looking for data scientists who enjoy leveraging large sets of data to tell stories. In this role, you will apply modern machine and deep learning approaches to import, clean, transform and model data that supports our nation's core intelligence decision-makers. You will be responsible for designing or presenting conclusions gained from analyzing data using statistical tools like Tableau, Python, R and others. Basic Qualifications Work as the lead data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries Research and devise innovative statistical models for data analysis Communicate findings to all stakeholders Enable smarter business processes-and implement analytics for meaningful insights Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy Analyze data for trends and patterns, and Interpret data with a clear objective in mind Implement analytical models into production by collaborating with software developers and machine learning engineers. Preferred Qualifications Bachelor's degree in statistics, applied mathematics, or related discipline 2+ years experience in data science Proficiency in data mining, mathematics, and statistical analysis Advanced pattern recognition and predictive modeling experience Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (i.e., Java/Python, SAS) Master's degree in stats, applied math, or related discipline Square Peg Technologies Company Information Square Peg Technologies is a boutique technology consulting firm that specializes in data solutions using the latest technologies in analytics, data science, data engineering, and data management. Our mission is to develop and integrate cutting-edge technology solutions that inspire our customers to push the fields of science and technology forward. Here at Square Peg, you will not get lost in a crowd. We value each person's contribution, celebrate wins together, and invest in the personal and professional development of our employees. Along with a strong positive culture that allows employees to thrive and grow, we also offer top-notch benefits including a large amount of vacation, annual bonuses, 401k matching, paid training, and 100% health care coverage. At Square Peg Tech, we aim to be at the forefront of technology and innovation. Our ideal candidate must be forward-leaning and eager to engage with customers, academia, and industry leaders on the future applications of AI/ML, as well as best practices in advanced analytics. With a firm footprint in the Intelligence Community, Square Peg Tech is looking to expand its capabilities into the Department of Defense, NASA, and other prominent government agencies.

The University of Maryland Institute for Health Computing (UM-IHC) is a strategic collaborative between the University of Maryland, Baltimore (UMB) and the University of Maryland, College Park (UMCP), and the University of Maryland Medical System. Based in North Bethesda, MD, the institute focuses on artificial intelligence and advanced computing to further develop the field of precision medicine to improve well-being, quality of life, diminish disease, and enhance health outcomes for all citizens of Maryland and beyond. Learn how we're delivering a better state of care. We build upon our tradition of excellence in patient care and innovation, to be a national leader in the transformation of health care. Proud to be recognized by Forbes to the America's Best Large Employers for 2022, UMMS' flagship academic campus, the University of Maryland Medical Center in Baltimore, is recognized regionally and nationally for excellence in specialized care. University of Maryland Medical System (UMMS) delivers comprehensive health care services throughout Maryland. UMMS physicians and patient care teams work hand-in-hand with University of Maryland School of Medicine specialists to provide primary and specialty care at more than 150 locations across the state, including a network of academic, community and specialty hospitals that together provide 25% of all hospital-based care in Maryland. Functioning as One UMMS will allow us to create greater opportunities for our team members, provide more comprehensive care for our patients, and support more communities across Maryland. It will reaffirm our values and allow us to leverage the benefits of being part of a stronger, statewide system. In the end, we are not creating a new system; we are strengthening the one we have built. Together, we will honor our past and simultaneously look to our future, not just as a health care system, but as vital members of our communities. Learn more about One UMMS at ******************** Job Description This position has a hybrid work structure, where working from the office at regular intervals will facilitate building collaborations among the interdisciplinary teams at the IHC. General Summary The Senior Healthcare Data Scientist - Machine Learning/AI, Statistics, Operations Research position will join our Advanced Data Science group at the University of Maryland Medical System (UMMS) in support of its strategic priority to become a data-driven and outcomes-oriented organization. The successful candidate will have experience with Machine Learning/AI, Statistics and Operations Research and a passion for working with healthcare data. Previous experience with various computational approaches along with an ability to demonstrate a portfolio of relevant prior projects is essential. This position will report to the Director for Advanced Data Science & Consulting Services. Principal Responsibilities and Tasks Support and drive analytic efforts designed around the organization's strategic priorities and clinical/business problems. Develop and manage predictive (machine learning and deep learning) and prescriptive (mathematical optimization and simulation) analytic models in support of the organization's clinical, operations and business initiatives and priorities. Deploy solutions so that they provide actionable insights to the organization and are embedded or integrated with application systems. Work with the analytics team and clinical/business stakeholders to develop pilots so that they may be tested and validated in pilot/incubator settings . Perform statistical analysis to evaluate primary and secondary objectives from such pilots. Develop strategic, tactical and operational presentations that summarize the results of predictive and prescriptive analytics projects in support of robust strategies for the organization. Build and extend our analytics portfolio supported by robust documentation. Lead cross-functional design teams to drive disruptive innovation, which may translate into improved quality of care, clinical outcomes, reduced costs, temporal efficiencies and process improvements. Manage projects and initiatives for the medical system that include multi-disciplinary teams from technology, clinical and business groups. Mentor staff on effective problem-solving strategies and technical aspects of Machine Learning/AI, Statistics and Operations Research. Manage project plans and other required project documentation and provide updates to leadership as necessary. Develop and maintain relationships with business, IT and clinical leaders and stakeholders across the enterprise to facilitate collaboration and effective communication. Assist senior leadership with strategies for scaling successful projects across the organization, and enhance the analytics applications based on feedback from end-users and clinical/business consumers. Assist senior leadership with dissemination of success stories (and failures) in an effort to increase analytics literacy and adoption across the organization. Work with autonomy to find solutions to complex problems using open source tools and in-house development. Stay abreast of state-of-the-art literature in the fields of machine learning/AI, operations research, statistical modeling, statistical process control and mathematical optimization. Qualifications Education and Experience PhD degree in applied mathematics, data science, physics, computer science, engineering, statistics, economics, or a closely related field required; comparable work experience may be substituted for the PhD degree. 7+ years of industry experience in the following: Machine Learning/AI, Statistics or Operations Research. Programming with SQL, Python and R. Practical experience with machine learning/AI problems, or formulating and solving mathematical (deterministic and stochastic) optimization problems and simulation, or performing advanced statistical analysis. Developing and applying computational algorithms and statistical methods to healthcare data (including, but not limited to data from electronic medical record, financial management, human resources, quality and supply chain). Developing and deploying healthcare-relevant predictive and prescriptive models. Combining analytic methods and advanced data visualizations. Text mining and Natural Language Processing (NLP) is preferred. Leading and managing projects and multi-disciplinary teams. Knowledge, Skills and Abilities Develop (from scratch) machine learning and/or deep learning approaches and algorithms to solve clinical and business (including operations, supply chain, human resources, finance) problems. Formulate and solve complex mathematical optimization problems using exact and heuristic approaches. Perform independent/unsupervised exploratory data analysis and advanced statistical analysis (e.g., regression analysis, cluster analysis, factor analysis, ANOVA). Design and prototype new application functionality for our products. Work with “real world” data including scrubbing, transformation, and imputation. Capable of artful storytelling and clearly presenting findings in oral and written format and through graphics to stakeholders at various organization levels. Knowledge of databases, data structures, data processing and data mining from large enterprise transaction systems (e.g., Epic, Infor/Lawson, McKesson HPM, Payer Claims or similar applications in healthcare or other industries). Effective at working independently and in collaboration with other staff members for software platform and web application development. Cooperatively and effectively work with people from various organization levels. Manage projects and cross-functional teams to meet organizational goals. Plan work, set clear direction, and coordinate own tasks as well as project team's tasks in a fast-paced multidisciplinary environment, including triaging issues, identifying data anomalies, and debugging software. Able to compare, contrast, and validate work with keen attention to detail. Actively generate process improvements; support and drive change, and confront difficult circumstances in creative ways. Additional Information All your information will be kept confidential according to EEO guidelines. Compensation: Pay Range: $70.34- $112.31 Other Compensation (if applicable): Review the 2024-2025 UMMS Benefits Guide

General Job Information This position is in the Department of Insurance Securities and Banking, Insurance Bureau (DISB), Actuarial Division. The mission of the Department of Insurance, Securities, and Banking (DISB) is three-fold: cultivate a regulatory environment that protects consumers and attracts and retains financial services firms to the District; empower and educate residents on financial matters; and. provide financing for District small businesses. The incumbent in this role is responsible for analyzing the financial costs of risk and uncertainty using advanced mathematical skills, statistics, and financial theory. This analysis is crucial for assessing the risk associated with potential events, aiding the agency in developing policies and dealing with the measurement and management of risk and uncertainty. Duties and Responsibilities Applies actuarial, accounting, and statistical principles to assess property and casualty and/or health insurance rates, informing decisions on claim severity and frequency projections. Analyzes loss ratios, development factors, expense allowances, and considers investment income to inform strategic decision-making in insurance pricing and risk management. Develops methods of statistical reporting by insurance companies and rating bureaus for purposes of enhancing the rate review and measuring the profitability of various kinds of financial products. Coordinates support for fellow Bureau staff to understand and explain the impact of rate filings. Qualifications and Education A bachelor's degree that included courses in actuarial science, mathematics, relevant statistics, business, finance, economics, insurance, or computer science totaling at least 24 semester hours. This course work must have included a minimum of 12 semester hours of mathematics that included differential and integral calculus and one or more courses in mathematics for which these calculus courses were prerequisites. AND Specialized Experience is experience that equipped the applicant with the particular knowledge, skills, and abilities to perform successfully the duties of the position, and that is typically in or related to the work of the position to be filled. To be creditable, one (1) year of actuarial specialized experience must have been equivalent to at least the next lower grade level in the normal line of progression. Licenses and Certifications None Working Conditions/Environment The work is performed in a typical office setting. Other Significant Facts Tour of Duty: Monday - Friday; 8:15 a.m. - 5:00 p.m. Pay Plan, Series and Grade: CS-1510-13 Promotion Potential: No known promotion potential. Duration of Appointment: Career Service Permanent. Collective Bargaining Unit: This position is in a collective bargaining unit (AFSCME 2743), and you may be required to pay an agency service fee through direct payroll deduction. Position Designation: The incumbent of this position will be subject to enhanced suitability screening pursuant to Chapter 4 of DC Personnel Regulations, Suitability - Security Sensitive. EEO Statement: The District of Columbia Government is an Equal Opportunity Employer. All qualified candidates will receive consideration without regard to race, color, religion, national origin, sex, age, marital status, personal appearance, sexual orientation, family responsibilities, matriculation, physical handicap, or political affiliation.

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.

**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 (***************************************************************************************************************************

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

RELOCATION ASSISTANCE: Relocation assistance may be available CLEARANCE TYPE: SecretTRAVEL: Yes, 10% of the TimeDescriptionAt Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history. The Northrop Grumman Microelectronics Center (NGMC) within Northrop Grumman Mission Systems is seeking an exceptionally talented, motivated, and creative Staff Data Scientist for our Advanced Technology Lab (ATL) - located outside of Baltimore, Maryland - where we develop, design, manufacture, and test novel technologies. ATL's semiconductor foundry provides unique leading-edge capability in microelectronic devices including semiconductors (Silicon, Gallium Arsenide, Gallium Nitride, Silicon Carbide) and superconductors. Our devices have enabled multiple generations of Northrop Grumman's radar and space systems, among others. Join us for the chance to work with an amazing, experienced, and talented team while helping serve your country. Enjoy the opportunity to grow and learn through a variety of challenging projects in R&D, ongoing long-term programs, and new programs targeting future military platforms. The selected candidate should have an aptitude for technology development, be resourceful and be strong team participants, as well as demonstrating an ability to communicate well with others. Job Responsibilities Design, develop, and maintain scalable Extract, Transform, and Load (ETL) pipelines utilizing Python and SQL. Data preparation/cleaning, integration, and automation from heterogeneous sources. Design, develop, and maintain automated data visualizations for example in Tableau. Ensure data integrity and system availability. Identify and evaluate emerging AI/ML technologies and trends and drive their adoption where appropriate. #NGATL Basic Qualifications Bachelor's Degree in Physics, Materials Engineering, Electrical Engineering, Computer Engineering, Data Science or any related degree with 12 years technical related experience in microelectronics industry, or Master's Degree with 10 years experience; PhD with 8 years experience Knowledge of data gathering, cleansing and transformation techniques Experience with common data science toolkits such as TensorFlow and PyTorch. Fluent with Python or Matlab. Knowledge of best practices in data analysis. Your ability to transfer and maintain the final adjudicated government secret clearance and any program access(es) required for the position within a reasonable period of time, as determined by the Company. Ability to obtain Secret-level clearance US Citizenship required Preferred Qualifications Experience with computer vision including image classification Extract, Transform & Load (ETL) techniques and frameworks experience Experience researching and developing novel AI methods especially in Foundational AI. Familiarity with Deep Reinforcement Learning, including Multi-Agent Domain knowledge in sensing, microelectronics or semiconductor fabrication. Experience with data platforms (e.g., Palantir, Databricks, Denodo, etc.) Project / Program Management skills (proposal creation, scheduling, budget tracking) Ability to obtain TS/SCI clearance Ability to travel 10-15% of the time Primary Level Salary Range: $179,600.00 - $269,400.00The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit *********************************** U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

DRT Strategies delivers expert management consulting and information technology (IT) solutions to large federal agencies, the U.S. Navy, state and local government and commercial clients in health care, technology, and financial services industries. The three letters of our name, DRT, stand for Driving Resolution Together, which is the core philosophy on which the company was founded. That is, we collaborate with our clients to solve their most pressing challenges - together. We are problem solvers dedicated to your success, combining Fortune 500 experience with small business responsiveness. We have established a reputation with our clients as a forward-thinking consulting firm with demonstrated success in implementing solutions that lead to meaningful results. Our world-class consultants unite people to work collaboratively to achieve project goals and make vision a reality. Project Description: This project is designed to support FDA CDER Office of Quality Surveillance (OQS) with developing and implementing modern and innovative techniques to achieve comprehensive surveillance and estimate the state of quality. The objective of this project is to conduct thorough research and implement efficient methods for ingesting publicly available regulatory data. The contractor will provide support for data extraction and analytics that are needed to enhance OQS's dossier program. Job Summary: The Clinical Data Scientist serves as a technical specialist leveraging expertise in data science, computer science, mathematics, and statistics to transform complex clinical data into actionable insights. This role is responsible for designing and implementing advanced data modeling and data mining processes, creating algorithms, and developing predictive models to uncover hidden patterns within the data. Key analytical activities include utilizing techniques such as time-series analysis, trend analysis, machine learning (including clustering, Natural Language Processing, and outlier identification) to maximize data value, foster a proactive approach, and effectively identify high-risk facilities. Responsibilities: Data Extraction & Engineering: Utilize data mining techniques and web scraping tools to extract valuable information from various sources. Manage and process data effectively by applying knowledge of data types, formats, architecture, and pipeline optimization techniques. Data Analysis & Interpretation: Apply expertise in analytics and statistics (including BI, reporting, and data transformation) to analyze and interpret data, driving business insights. Perform hands-on work with data analysis, validation, and quality assurance. Strategy & Problem Solving (Technical Strategy): Apply analytical and critical thinking skills to identify new issues, trends, and opportunities from data. Research and identify root causes for data issues. Identify gaps in the system and communicate them to solution project leads or program managers. Operational Excellence & Delivery: Ensure the reliability, efficiency, and quality of data services and pipelines. Ensure the timely delivery of reports, manage conflicting priorities, and meet customer expectations. Communication: Prepare and deliver presentations. Perform periodic check-ins for status and feedback. Required Experience: Minimum 5 years of experience in analytics, biopharmaceutical manufacturing, quality analytics, biotechnology R&D, or related research programs. Technical Expertise: Minimum 3 years of Full Stack Data Scientist experience, including proven ability to apply expertise in web scraping, time-series analysis, and machine learning techniques. Required expertise in Python, R (including RShiny), PySpark/Spark, and Advanced SQL. Strong Git and collaborative development experience. Familiarity with a broad range of ML techniques and their implementation. Preferred: Databricks experience. Analytical & Communication Skills: Excellent analytical skills with an emphasis on data exploration and data wrangling. Excellent written and verbal communication skills. Preferred Experience: FDA experience PhD preferred Biological science/pharmaceutical background. Education & Training: MS in a technical, quantitative field (e.g., Computer Science, Engineering, Statistics, or related). Salary Range: $95,000-$125,000 Salary commensurate with experience. DRT Strategies, Inc. (DRT) follows the guidelines outlined by the Equal Employment Opportunity Commission (EEOC) to provide all employees and qualified applicants employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related conditions, transgender status, and sexual orientation), national origin, age, genetic information, disability, protected veteran status, or any other protected characteristic under federal, state, or local law. Reasonable accommodations for applicants and employees with disabilities will be provided. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Human Resources by emailing ********************, or by dialing ************. For additional information, please review the Know Your Rights: Workplace Discrimination is Illegal, E-Verify (English), E-Verify (Spanish). Right to Work (English), Right to Work (Spanish). Please be aware of recruitment fraud where malicious individuals might pose as DRT Strategies. Only job postings and emails from drtstrategies.com are authentic and legitimate communications regarding DRT Strategies employment opportunities. Please contact Human Resources at ******************** if you believe you have received a fraudulent email.

Clearance Level: Requires a Top Secret (TS/SCI) Clearance with a Polygraph. The Mission: Square Peg is seeking a Data Scientist who can turn structure and unstructured data sets into useful information to solve challenges. You'll work closely with the customer and stakeholders to optimize business processes through data engineering and machine learning techniques and help integrate the developed models into a form useful to the organization. Using Databricks, which was named to both the Magic Quadrant for Cloud Database Management Systems and the Magic Quadrant for Data Science and Machine Learning Platforms, you'll using best in class technology to help our customer solve some of their most challenging data problems. Don't know Databricks, no problem! Sign up for our extensive training program to be a part of shaping the future of AI/ML. Basic Qualifications: 2+ years of experience with one or more of following programming languages: Python, Java, or SQL Experience with designing and executing machine learning models and applications Experience with building statistical models and developing machine learning algorithms, including supervised, unsupervised, or reinforcement Advanced math and statistics background with programming, domain knowledge, and communication skills to analyze data, create applied mathematical models, and present results in a form useful to the organization Knowledge of Data Science Libraries (e.g. SparkML, Tensorflow, Sci-Kit Learn) Knowledge of applying time-series / regression analysis, clustering-methods, effectiveness testing (A-/B-hypotheses testing) to solve diverse business problems Experience cleaning data for data science applications Preferred Qualifications: Knowledge in big-data technologies (Hadoop, Apache Spark, Databricks) Experience with business intelligence tools like Tableau Experience with data lakes/warehouses Experience with cloud services, including AWS, Azure, or Google Cloud Experience with enterprise DataOps, DevSecOps, and MLOps processes to operationalize and monitor data science models Possession of excellent verbal and written communication skills A self-motivated and proactive individual with a can-do attitude and the ability to work on projects and solve problems independently Square Peg Technologies Company Information Square Peg Technologies is a boutique technology consulting firm that specializes in data solutions using the latest technologies in analytics, data science, data engineering and data management. Our mission is to develop and integrate cutting edge technology solutions that inspire our customers to push the fields of science and technology forward. Here at Square Peg, you will not get lost in a crowd. We value each person's contribution, celebrate wins together and invest in the personal and professional development of our employees. Along with a strong positive culture that allows employees to thrive and grow, we also offer top notch benefits to include a large amount of vacation, annual bonuses, 401k matching, paid training, and 100% health care coverage. At Square Peg Tech, we aim to be at the forefront of technology and innovation. Our ideal candidate must be forward leaning and eager to engage with customers, academia and industry leaders on the future applications of AI/ML, as well as best practices in advanced analytics. With a firm footprint in the Intelligence Community, Square Peg Tech is looking to expand its capabilities into the Department of Defense, NASA and other prominent government agencies.

**_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 (***************************************************************************************************************************

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