Required : • A minimum of five years of technical data science experience; U.S. Federal ... Google Data Engineering, Azure AI Engineer Associate, etc.) • Experience building AI pipelines ...
Required : • A minimum of five years of technical data science experience; U.S. Federal ... Google Data Engineering, Azure AI Engineer Associate, etc.) • Experience building AI pipelines ...
Director, Data Science
Arlington, VA · Remote
The Director, Data Science will lead efforts across personalization, recommendation systems, and GenAI chatbot tools, delivering scalable intelligence that drives hyper-personalized experiences and ...
Director, Data Science
Arlington, VA · Remote
The Director, Data Science will lead efforts across personalization, recommendation systems, and GenAI chatbot tools, delivering scalable intelligence that drives hyper-personalized experiences and ...
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 ...
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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 ...
Director of Data Science About the Organization Now is a great time to join Redhorse Corporation. Redhorse specializes in developing and implementing creative strategies and solutions with private ...
Director of Data Science About the Organization Now is a great time to join Redhorse Corporation. Redhorse specializes in developing and implementing creative strategies and solutions with private ...
Director of Data Science
Arlington, VA · On-site
They are seeking a Director for their Data Science team to lead and manage a multi-disciplinary team, collaborate with stakeholders, and develop AI-driven solutions for data-driven decision-making.
Director of Data Science
Arlington, VA · On-site
They are seeking a Director for their Data Science team to lead and manage a multi-disciplinary team, collaborate with stakeholders, and develop AI-driven solutions for data-driven decision-making.
Technical Program Manager, GPS Delivery, Google Data Centers
Reston, VA · On-site
$163 - $236/hr
Bachelor's degree in Computer Science, a related technical field, or equivalent practical ... directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant ...
Technical Program Manager, GPS Delivery, Google Data Centers
Reston, VA · On-site
$163 - $236/hr
Bachelor's degree in Computer Science, a related technical field, or equivalent practical ... directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant ...
Director, Data Science
Richmond, VA · On-site
A Director, Core Pricing Systems, owns the pricing of vehicles in one of three key business areas ... Our team of data scientists and business analysts plays a critical role in unlocking the business ...
Director, Data Science
Richmond, VA · On-site
A Director, Core Pricing Systems, owns the pricing of vehicles in one of three key business areas ... Our team of data scientists and business analysts plays a critical role in unlocking the business ...
A Director, Core Pricing Systems, owns the pricing of vehicles in one of three key business areas ... Our team of data scientists and business analysts plays a critical role in unlocking the business ...
A Director, Core Pricing Systems, owns the pricing of vehicles in one of three key business areas ... Our team of data scientists and business analysts plays a critical role in unlocking the business ...
Director, Data Science
Richmond, VA · On-site
$161K - $258K/yr
A Director, Core Pricing Systems, owns the pricing of vehicles in one of three key business areas ... Our team of data scientists and business analysts plays a critical role in unlocking the business ...
Director, Data Science
Richmond, VA · On-site
$161K - $258K/yr
A Director, Core Pricing Systems, owns the pricing of vehicles in one of three key business areas ... Our team of data scientists and business analysts plays a critical role in unlocking the business ...
... Learning, Google Data Engineering, Azure AI Engineer Associate, etc.) * Experience building AI ... Criminal history may have a direct, adverse, and negative relationship with some of the material ...
... Learning, Google Data Engineering, Azure AI Engineer Associate, etc.) * Experience building AI ... Criminal history may have a direct, adverse, and negative relationship with some of the material ...
Technical Program Manager, GPS Delivery, Google Data Centers
Reston, VA · On-site
$134K - $173K/yr
Bachelor's degree in Computer Science, a related technical field, or equivalent practical ... directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant ...
Technical Program Manager, GPS Delivery, Google Data Centers
Reston, VA · On-site
$134K - $173K/yr
Bachelor's degree in Computer Science, a related technical field, or equivalent practical ... directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant ...
... Google Data Engineering, Azure AI Engineering Associate, etc.) is a plus * Ability to travel as ... Criminal history may have a direct, adverse, and negative relationship with some of the material ...
... Google Data Engineering, Azure AI Engineering Associate, etc.) is a plus * Ability to travel as ... Criminal history may have a direct, adverse, and negative relationship with some of the material ...
This role ensures the rigorous application of statistical principles and advanced data science methodologies to optimize clinical trial efficiency and accelerate innovation. The Executive Director ...
This role ensures the rigorous application of statistical principles and advanced data science methodologies to optimize clinical trial efficiency and accelerate innovation. The Executive Director ...
This role ensures the rigorous application of statistical principles and advanced data science methodologies to optimize clinical trial efficiency and accelerate innovation. The Executive Director ...
This role ensures the rigorous application of statistical principles and advanced data science methodologies to optimize clinical trial efficiency and accelerate innovation. The Executive Director ...
This role ensures the rigorous application of statistical principles and advanced data science methodologies to optimize clinical trial efficiency and accelerate innovation. The Executive Director ...
This role ensures the rigorous application of statistical principles and advanced data science methodologies to optimize clinical trial efficiency and accelerate innovation. The Executive Director ...
Data Science - Advisor / SME
Reston, VA · On-site
Data Science - Advisor / SME Location : 3 days onsite / week 1100 15th Street Northwest VA USA ... Ability to direct and evaluate the more technical aspects of data analysis and research, while also ...
Data Science - Advisor / SME
Reston, VA · On-site
Data Science - Advisor / SME Location : 3 days onsite / week 1100 15th Street Northwest VA USA ... Ability to direct and evaluate the more technical aspects of data analysis and research, while also ...
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 ...
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 ...
From developing and maintaining our data centers to building the next generation of Google ... directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant ...
From developing and maintaining our data centers to building the next generation of Google ... directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant ...
... applying data science techniques such as machine learning, deep learning and advanced ... Undertake additional duties and assume other responsibilities as directed by the Chain Of Command.
... applying data science techniques such as machine learning, deep learning and advanced ... Undertake additional duties and assume other responsibilities as directed by the Chain Of Command.
Data Science SME Mid
Springfield, VA · On-site
$115 - $157.94/hr
Data Science SME Mid Full Time Client Site - Springfield, VA, Springfield, VA, US 8 days ago ... directed by the customer. * Education: A bachelor's degree from an accredited (i.e., regional ...
Data Science SME Mid
Springfield, VA · On-site
$115 - $157.94/hr
Data Science SME Mid Full Time Client Site - Springfield, VA, Springfield, VA, US 8 days ago ... directed by the customer. * Education: A bachelor's degree from an accredited (i.e., regional ...
Director Google Data Science information
What does a director Google Data Science do?
A Director of Google Data Science leads teams of data scientists, analysts, and engineers to drive data-informed decision-making across the company. They are responsible for setting the strategic vision for data initiatives, overseeing the development of machine learning models and analytics solutions, and collaborating with cross-functional teams to solve complex business problems. This role also involves mentoring staff, managing large-scale projects, and ensuring that data practices align with Google's ethical standards and business goals.
What are the key skills and qualifications needed to thrive as a director Google Data Science?
To thrive as a Director of Google Data Science, you need deep expertise in statistics, machine learning, and data analytics, typically supported by an advanced degree in a quantitative field and significant industry experience. Mastery of programming languages like Python or R, familiarity with big data platforms (such as BigQuery), and experience with cloud computing tools are essential, along with strong project management skills. Outstanding leadership, communication, and strategic vision are crucial soft skills for guiding teams and collaborating with stakeholders across the organization. These skills and qualities are vital for driving impactful data-driven decisions, fostering innovation, and successfully leading large, diverse data science teams.
How does a director Google Data Science typically collaborate with cross-functional teams to drive data-driven decision-making?
As a Director of Google Data Science, you will frequently lead and coordinate with product managers, engineers, designers, and business leaders to translate business goals into actionable data projects. This collaboration involves setting data strategy, defining key metrics, and ensuring that insights are integrated into product roadmaps and business decisions. You’ll also mentor data scientists, facilitate communication between technical and non-technical stakeholders, and help foster a culture of experimentation and innovation. Ensuring alignment across teams and managing priorities is a common challenge, but it’s crucial for maximizing the impact of data science on organizational objectives.
What is the difference between Director Google Data Science vs Data Science Manager?
| Aspect | Director Google Data Science | Data Science Manager |
|---|---|---|
| Responsibilities | Strategic leadership, overseeing multiple teams, setting vision | Team management, project execution, day-to-day operations |
| Required Credentials | Advanced degrees (Master's/PhD), extensive experience in data science | Bachelor's or Master's, strong technical and leadership skills |
| Work Environment | Executive level, cross-functional collaboration, strategic planning | Team-focused, project management, technical oversight |
| Industry Usage | Common in large tech companies, corporate R&D divisions | Widely used across tech, finance, healthcare sectors |
The main difference between a Director Google Data Science and a Data Science Manager lies in scope and focus. The Director typically handles strategic planning and oversees multiple teams, while the Manager focuses on project execution and team management. Both roles require strong technical backgrounds, but the Director's role is more executive and vision-oriented.
What are the most commonly searched types of Google Data Science jobs in Virginia?
The most popular types of Google Data Science jobs in Virginia are:
What are popular job titles related to Director Google Data Science jobs in Virginia?
For Director Google Data Science jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Director Google Data Science jobs in Virginia look for?
The top searched job categories for Director Google Data Science jobs in Virginia are:
What cities in Virginia are hiring for Director Google Data Science jobs?
Cities in Virginia with the most Director Google Data Science job openings:
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.
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.