Senior Specialist, Federal Data Scientist

The KPMG Advisory practice is at the forefront of transformation, offering excellent opportunities for individuals to advance their careers and expertise with KPMG. Looking ahead, we anticipate continued evolution and success within the practice, fostering both personal and professional development, thereby creating new pathways for growth. 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 help 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 Specialist to join our Federal Advisory practice. Responsibilities:Collaborate with multi-disciplinary and cross-functional teams to identify business opportunities and develop machine learning and data science solutionsUtilize processes and best practices to plan, lead, and execute delivery of data analytics and AI engagements for state and federal government clients to manage risks, set expectations, and ensure successful delivery of projectsWork with clients and team leads to discover data sources and create data requests; collaborate with data engineers to develop and utilize the ETL process to ingest and enrich structured and unstructured data - leveraging a variety of data sources such as social media, news, internal/external documents, images, video, voice, emails, financial data, and operational dataPerform explanatory data analyses, generate and test working hypotheses, prepare and analyze historical data and identify patternsBuild and manage production-ready data science product lifecycles, continuous delivery and automation pipelines (MLOps), orchestration and model management in cloud environmentQualifications:A minimum of three years of experience in developing machine learning models (predictive models, classification, cluster analysis, time series and forecasting, regularization, feature selection, NLP, computer vision, anomaly detection, etc.)Bachelor's degree from an accredited college/university; MBA or MIS from an accredited college/university preferredAbility to apply artificial intelligence and machine learning techniques to achieve concrete business goalsProficiency with programming languages such as Python, R, Java, SQL, and their open source packages/librariesBackground in developing Deep Learning models (e.g. CNN, Recurrent, etc.) and its applications (object detection, text recognition, language modelling, etc.) and tools (e.g. TensorFlow, PyTorch, Keras, Fast.ai, etc.)Ability to travel as required to support firm engagementsApplicant must possess or be eligible for a U.S. Government 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: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.