New

Specialist Director, Federal Data Science

KPMG
life insurance, 401(k)
United States, Virginia, McLean
8350 Broad Street (Show on map)
Feb 06, 2026
The KPMG Advisory practice is currently our fastest growing practice. We are seeing tremendous client demand, and looking forward we don't anticipate that slowing down. In this ever-changing market environment, our professionals must be adaptable and thrive in a collaborative, team-driven culture. At KPMG, our people are our number one priority. With a wealth of learning and career development opportunities, a world-class training facility and leading market tools, we make sure our people continue to grow both professionally and personally. If you're looking for a firm with a strong team connection where you can be your whole self, have an impact, advance your skills, deepen your experiences, and have the flexibility and access to constantly find new areas of inspiration and expand your capabilities, then consider a career in Advisory. KPMG is currently seeking a Senior Director to join our Federal Advisory practice. Responsibilities: Lead multi-disciplinary / cross-functional teams to identify business opportunities, develop machine learning models, and data science solutions Utilize best practices / processes to plan, lead, and execute delivery of data analytics and AI engagements Support KPMG clients in designing / developing modern enterprise data strategy, evaluating existing data platforms, identifying technology / process gaps, data maturity assessment, designing roadmaps for platform modernization, technology adoptions, and digital transformation Lead and support technical teams in developing and deploying data products and/or production-level AI and Machine Learning solutions by leveraging modern open source or enterprise ready tools / technologies Oversee large scale, critical data science initiatives / projects, ensuring timely delivery of engagement requirements Perform explanatory data analyses, generate / test working hypotheses, prepare / analyze historical data and identify patterns; perform machine learning, natural language, and statistical analysis methods (such as classification, cluster analysis, collaborative filtering, sentiment analysis, language modeling, time-series analysis, regression, statistical inference, etc.) Qualifications: A minimum of eight years of data science / developing machine learning models; U.S. Federal government consulting experience preferred Bachelor's degree from an accredited college/university; advanced from an accredited college/university preferred Experience applying artificial intelligence / machine learning techniques to achieve business goals; ability to work with business to understand available resources and constraints around data (sources, integrity, definitions); provide assistance and resolve issues Expertise with programming languages such as Python, R, Java, SQL and open-source packages / libraries Experience leading large technical data engagements and teams Experience developing Deep Learning Models (e.g. - CNN, Recurrent, etc.) and its applications (object detection, text recognition, language modeling, etc.) and tools (e.g. - TensorFlow, PyTorch, Keras, Fast.ai, etc.) Experience establishing data governance, model validation protocols, reproducible pipelines, and quality frameworks aligned to federal requirements Experience in leveraging cloud services or Cloud Certification (e.g. - AWS Solution Architect, AWS Machine Learning, Google Data Engineering, Azure AI Engineer Associate etc.) Ability to travel as required to support firm engagements Applicant must possess a U.S. Government Top-Secret clearance KPMG LLP and its affiliates and subsidiaries ("KPMG") complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, KPMG is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year and provides eligible employees two breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at Benefits & How We Work. Follow this link to obtain salary ranges by city outside of CA: https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=M101_2_25 KPMG offers a comprehensive compensation and benefits package. KPMG is an equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link contains further information regarding KPMG's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. Los Angeles County applicants: Material job duties for this position are listed above. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, and safeguard business operations and company reputation. Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.