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Director Google Data Science Jobs in Virginia (NOW HIRING)

Compunnel

Finance Data Science Advisor

Reston, VA · On-site

... ))]" dir="auto" data-turn-id="request-6a74975d-6230-83e8-804d-f71908b1f283-2" data-turn-id ... The Finance - Data Science - Advisor role will provide flexibility while working alongside cross ...

NATO

Staff Officer (Data Science)

Norfolk, VA · On-site

... 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.

Tulk LLC

Data Science SME Mid

Fort Belvoir, VA · On-site

$115K - $157K/yr

Data Science SME Mid TULK supports U.S. national security customers with cleared experts who ... directed by the customer. * Education: A bachelor's degree from an accredited (i.e., regional ...

PTR Global

Senior Data Science Analyst

Richmond, VA · On-site

$57 - $61/hr

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 ...

Tulk LLC

Data Science SME Senior

Fort Belvoir, VA · On-site

$120K - $171K/yr

Data Science SME Senior TULK supports U.S. national security customers with cleared experts who ... directed by the customer. * Education: A bachelor's degree from an accredited (i.e., regional ...

Google

Senior Datacenter Engineer

Sterling, VA · On-site

$103K - $142K/yr

... Google data center electrical canonical designs. * Conduct engineering analysis and research ... directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant ...

Capital One

Director, Data Scientist

Mclean, VA

Director, Data Scientist Data is at the center of everything we do. As a startup, we disrupted the ... Team Description The Generative AI Systems (Genesis) team within Card Data Science builds state-of ...

Hobbsnews

Director, Data Scientist

Mclean, VA · On-site

$269.10 - $307.20/hr

Director, Data Scientist Data is at the center of everything we do. As a startup, we disrupted the ... Team Description The Generative AI Systems (Genesis) team within Card Data Science builds state-of ...

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 ...

Capital One

Director, Data Scientist

Mclean, VA · On-site

Director, Data Scientist Data is at the center of everything we do. As a startup, we disrupted the ... Team Description The Generative AI Systems (Genesis) team within Card Data Science builds state-of ...

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 ...

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All JobsGoogle Data Science JobsDirector Google Data Science JobsDirector Google Data Science Jobs in Virginia

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?

AspectDirector Google Data ScienceData Science Manager
ResponsibilitiesStrategic leadership, overseeing multiple teams, setting visionTeam management, project execution, day-to-day operations
Required CredentialsAdvanced degrees (Master's/PhD), extensive experience in data scienceBachelor's or Master's, strong technical and leadership skills
Work EnvironmentExecutive level, cross-functional collaboration, strategic planningTeam-focused, project management, technical oversight
Industry UsageCommon in large tech companies, corporate R&D divisionsWidely 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:

Director Google Data Science jobs near you

Finance Data Science Advisor

Compunnel

Reston, VA • On-site

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

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Job Summary:
The Finance - Data Science - Advisor role will provide flexibility while working alongside cross-functional teams to support Multifamily CECL and DFAST/forecasting processes within the Finance organization. The role will leverage advanced mathematical, analytical, econometric, and statistical modeling techniques to develop algorithms, predictive analytics, and insights that support risk measurement, financial valuation, decision-making, and business performance.
Key Responsibilities:
• Use advanced mathematical, analytical, or econometric tools to create algorithms and analyses supporting Multifamily CECL and DFAST/forecasting processes.
• Research and evaluate model results and perform credit-related analyses for expected and stress scenarios, including CECL/DFAST.
• Coordinate team activities with product and/or business owners, data engineers, and platform teams to understand business needs, current capabilities, data availability, and alternative uses.
• Apply statistical modeling capabilities across disciplines including computer science, computational science and methods, statistics, econometrics, data optimization, and data visualization.
• Build predictive analytic capabilities to enhance the delivery of business applications and support the integration of data and statistical models or algorithms.
• Apply innovative industry practices in research and testing to product development, deployment, and maintenance.
• Oversee the design and build of new modeling applications supporting risk measurement, financial valuation, decision-making, and business performance.
• Communicate complex ideas and solutions effectively to business partners through data visualizations, technical documentation, and non-technical presentation materials.
Required Qualifications:
• 6+ years of relevant experience.
• Strong programming experience, including coding and debugging using languages such as Python, R, SQL, or similar.
• Strong analytical and problem-solving skills to conduct and manage analysis addressing complex business problems.
• Experience analyzing data to identify trends or relationships and generate business insights.
• Expertise in visualizing data to identify, summarize, and explain observed data patterns.
• Ability to direct and evaluate technical aspects of data analysis and research while maintaining focus on broader business impacts.
• Strong written and verbal communication skills.
• Ability to build and maintain strong business relationships with business partners and stakeholders.
Preferred Qualifications:
• Bachelor's degree or equivalent.
• Master's degree or equivalent in Data Science, Applied Economics, Statistics, or a similar graduate field.
• Familiarity with advanced techniques including machine learning and natural language processing (NLP).
• Prior quantitative and finance training, including forecasting and stress testing (DFAST) knowledge.
• Experience managing and engaging stakeholders, partners, customers, and relationship networks.
• Experience with R programming, Tableau, Python, SQL, DBeaver SQL client software, and BitBucket.
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About Compunnel

Sourced by ZipRecruiter

Compunnel is a well-known company located in Plainsboro, NJ, US, recognized in the industry of IT Services and Solutions. Established in 1989, Compunnel offers a suite of services that help businesses integrate technology efficiently into their operations, a recognizable name in the IT solutions sphere for over three decades. The company’s service portfolio includes Digital Transformation, Business Intelligence, Cloud Services, Cybersecurity, and Application Modern Services, among others. Guided by its mission "to innovate with industry-leading digital solutions and disruptive tech strategies for unimagining business growth," the company underlines its commitment to offering out-of-the-box solutions to its clients. Remarkable achievements of the company include serving more than 30 Fortune 500 companies and providing job opportunities for over 50,000 individuals.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Plainsboro, NJ, US

Year founded

1994

Social media

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