Senior Specialist, Federal Data Scientist

KPMG

$110K — $130K *
Education, Government & Non-Profit
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Minimum three years of technical data science/data analytics experience; federal consulting experience preferred
  • Bachelor's degree from an accredited institution
  • Proficient in Python, SQL, R, Alteryx, SAS, or similar tools
  • Familiar with data science, machine learning, and optimization techniques
  • Strong communicator, capable of explaining technical concepts to non-technical audiences
  • Willingness to work daily on client-site
  • Must possess a U.S. Government Top-Secret clearance

Responsibilities

  • Support client solutions with analytics and data management techniques
  • Extract insights using various analytics tools
  • Prepare datasets for analysis through cleansing and transformation
  • Collect analytic requirements from clients of varying technical expertise
  • Create documentation and guides for analytics usage and maintenance

Benefits

  • Comprehensive medical and dental plans
  • Vision coverage
  • Disability and life insurance
  • 401(k) retirement plans
  • Personal well-being benefits for mental health support
  • Personal Time Off for vacation and holidays
Full Job Description
KPMG is currently seeking a Senior Specialist to join our Federal Advisory practice.

Responsibilities:
  • Support delivery of client solutions utilizing analytics, exploratory data analysis, data wrangling, and ETL
  • Derive insights from data using analytics and data wrangling tools (e.g. - Python, R. Alteryx, SQL, SAS)
  • Perform operations to prepare data for analysis (e.g. - data cleansing, data integration, data transformation)
  • Gather analytic requirements from clients and technical / non-technical audiences on analytic results
  • Develop documentation and guides for analytics usage / maintenance

Qualifications:
  • A minimum of three years of technical data science / data analytics experience; U.S. Federal government consulting experience preferred
  • Bachelor's degree from an accredited college/university
  • Experience analyzing / wrangling data utilizing Python, SQL, R. Alteryx, SAS, or other commonly used software and platforms
  • Experience with data science, machine learning, data simulation, and optimization concepts / techniques
  • Strong communication skills and ability to discuss technical concepts with non-technical audiences
  • Position requires individuals to work daily on client-site
  • 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=M101ADV_4_26

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