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Advisory / Experienced / Senior Associate
Senior Specialist, Federal Data Science
McLean, VA
139383
Career Level Requirement
Experienced
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 multi-disciplinary / cross-functional teams to identify business opportunities, design / develop machine learning, and data science solutions
- Utilize processes / best practices to plan, lead, and execute delivery of artificial intelligence engagements
- Work with clients to understand business requirements, design solutions utilizing data analytics solutions, and work with data engineers to develop / utilize ETL process to ingest structured / unstructured data
- Leverage a variety of data sources such as social media, internal / external documents, images, video, financial data, and operational data to develop cutting-edge data-driven products
- Perform explanatory data analysis, generate / test working hypotheses, prepare / analyze historical data, and identify data patterns
- Perform machine learning, natural language, and statistical analysis methods
- Contribute to developing dashboards, UI and interactive tools to support clients turn their data into actionable insights / reproducible reports
Qualifications:
- A minimum of three years of technical data science experience; U.S. Federal government consulting experience preferred
- Bachelor's degree from an accredited college/university; Master's degree preferred
- Proficiency with programming languages such as Python, R, Java, SQL, and their open-source packages / libraries
- Experience in developing Deep Learning models (e.g. CNN, Recurrent, etc.) and its applications (e.g. - object detection, text recognition, language modeling, etc.) and tools (e.g. - TensorFlow, PyTorch, Keras, Fast.ai, etc.)
- Familiarity with big data open-source tools (e.g. - Spark, Hadoop, Kafka, etc.) and open-source web frameworks / UI Platforms (e.g. - Flask, Shiny, Django, Dash)
- Experience leveraging cloud services in technical data environments or Cloud Certification (AWS Solution Architect, AWS Machine Learning, Google Data Engineering, Azure AI Engineering Associate, etc.) is a plus
- Ability to travel as required to support firm engagements
- Applicant must possess a U.S. Government 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 LLP 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. Depending on job classification, standard work hours, and years of service, KPMG LLP provides a Total Rewards Package that includes 401(k) and medical and may include dental, vision, disability and life insurance, personal well-being and Personal Time Off. Additionally, each year KPMG publishes a calendar of holidays to be observed during the year depending on your job classification and entity affiliation. 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=M101ADV_4_26
KPMG LLP and its affiliates and subsidiaries ("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/ethnicity, color, creed, religion, age, sex/gender, national origin, ancestry, citizenship status, marital status, sexual orientation, gender identity or expression, disability, pregnancy, childbirth or other related condition, military/veteran status, genetic information, status as a victim of domestic violence or sexual abuse or any other legally protected status. The attached link contains further information regarding the firm's compliance with federal, state, and local recruitment and hiring laws.
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.
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