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Volunteer Google Data Science Jobs in Virginia (NOW HIRING)

Altagrove LLC

Data Science

Norfolk, VA · On-site

Experience with AWS, Azure, Google Cloud, or hybrid cloud environments. * Understanding of data ... Bachelor's or Master's degree in Data Science, Computer Science, Data Engineering, Mathematics ...

KPMG

Lead Specialist, Federal Data Science

Mclean, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Build / manage production-ready data science product lifecycles, continuous delivery and automation ... Learning, Google Data Engineering, Azure AI Engineer Associate, etc.) * Experience building AI ...

The MITRE Corporation

Data Science, Lead

Mclean, VA · On-site

Serve as technical leader for data science and AI efforts supporting Treasury and tax ... Familiarity with cloud platforms such as AWS, Azure, or Google Cloud. * Experience with data ...

New

KPMG

Senior Specialist, Federal Data Science

Mclean, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

A minimum of three years of technical data science experience; U.S. Federal government consulting ... Google Data Engineering, Azure AI Engineering Associate, etc.) is a plus * Ability to travel as ...

VTG

Data Scientist

Chantilly, VA · On-site

Stay current with emerging data science techniques, tools, and technologies Do you have what it ... Familiarity with cloud platforms (AWS, Azure, or Google Cloud Platform)

Tecolote Research

Senior Data Scientist

Chantilly, VA · On-site

$130K - $160K/yr

... or Google Charts * Understanding of relevant statistical measures, development and evaluation of data sets. * Salary Range: $130,000 - $160,000/Year, DOE Skills Required The Senior Data Science ...

PTR Global

Senior Data Science Analyst

Richmond, VA · On-site

$57 - $61/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Position: Senior Data Science Analyst Location: Richmond, VA (1 week in office, 1 week remote ... Cloud platform experience (AWS, Azure, or Google Cloud Platform). * Experience influencing ...

Steampunk

Data Scientist

Mclean, VA

$125K - $160K/yr

Stay current with modern data science methodologies, ML techniques, data processing tools, and ... Databricks Data Scientist Associate, AWS ML Specialty, Azure Data Scientist Associate, Google ...

Steampunk

Data Scientist

Mclean, VA

$125K - $160K/yr

Stay current with modern data science methodologies, ML techniques, data processing tools, and ... Databricks Data Scientist Associate, AWS ML Specialty, Azure Data Scientist Associate, Google ...

Steampunk

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

Stay current with modern data science methodologies, ML techniques, data processing tools, and ... Databricks Data Scientist Associate, AWS ML Specialty, Azure Data Scientist Associate, Google ...

SteerBridge

Senior Data Scientist

Vienna, VA

$160K - $180K/yr

Provide guidance on best practices and industry standards across data science and analytics, data ... Cloud project work using Google, AWS and/or Azure. * Demonstrated high proficiency in statistical ...

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Lead Specialist, Federal Data Science

KPMG US

Mclean, VA • On-site

Full-time

Re-posted 6 hours ago

Job description

Job Summary:
KPMG is a leading advisory firm that offers excellent opportunities for career advancement. They are currently seeking a Lead Specialist to join their Federal Advisory practice, where the role involves leading teams to design and develop machine learning and data science solutions for clients.
Responsibilities:
• Lead 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
• Design / perform explanatory data analysis, develop, manage, and execute data analytics experimentations
• Build / manage production-ready data science product lifecycles, continuous delivery and automation pipelines (MLOps), orchestration / model management in cloud environment; cluster large amount of user generated content / process data in large-scale environments using Amazon EC2, STorm, Hadoop, Spark, etc.
• Design / develop dashboards, UI and interactive tools to support clients to turn their data into actionable insights / reproducible reports
Qualifications:
Required:
• A minimum of five years of technical data science experience; U.S. Federal government consulting experience preferred
• Bachelor's degree from an accredited college/university
• Experience applying artificial intelligence techniques to achieve business goals
• Proficiency with analytics tools and programming languages such as Python, R, Java, Scala, Spark, Hadoop, Alteryx, SQL; data visualization tools such as Tableau / QlikView
• Experience developing Deep Learning models (e.g. - CNN, Recurrent, etc.) and their applications (object detection, text recognition, language modeling etc.) and tools (e.g. - TensorFlow, PyTorch, Keras, Fast.ai, etc.)
• Experience leveraging cloud services or Cloud Certification (e.g. - AWS Solution Architect, AWS Machine Learning, Google Data Engineering, Azure AI Engineer Associate, etc.)
• Experience building AI pipelines, ML development lifecycles, MLOps and containerization (such as Docker, Kubernetes, MLflow, Kubeflow, TFX, etc.)
• Ability to travel as required to support firm engagements
• Applicant must possess a U.S. Government Secret clearance
Company:
KPMG is one of the world’s leading professional services firms and the fastest growing Big Four accounting firm in the United States. Founded in 2010, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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