ZipRecruiter

Log In

1

Director Google Data Science Jobs in Virginia (NOW HIRING)

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 ...

SteerBridge

Senior Data Scientist

Vienna, VA

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 ...

SteerBridge

Senior Data Scientist

Vienna, VA · On-site

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 ...

Analygence

Data Scientist

Arlington, VA · On-site

... data science methods, analytical models, and Palantir Foundry applications in direct support of Mission Assurance decision-making. Where the Senior Solutions Architect provides architectural ...

RecruitTalent LLC.

Data Scientist

Fredericksburg, VA · On-site

$60 - $70/hr

Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Engineering, or ... Google Professional Data Engineer or AWS Certified Data Analytics - Specialty * Certified Analytics ...

Tulk LLC

Data Science SME Lead

Fort Belvoir, VA · On-site

$120K - $189K/yr

Data Science SME Lead 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 ...

stanleyreid

Data Scientist - FS Poly

Centreville, VA · On-site

... Data Science, and Cloud Computing for both government and commercial customers. They provide cloud solutions utilizing technologies such as Spark, AWS, Azure, Cloudera, Kubernetes, and Google Cloud ...

KBR, Inc

Data Scientist

Chantilly, VA · On-site

$161 - $222/hr

KBR's work is at the forefront of engineering, logistics, operations, science, program management ... Experience working with cloud platforms (AWS, Azure, or Google Cloud). * Knowledge of MLOps tools ...

New

stanleyreid

Data Scientist - FS Poly

Chantilly, VA · On-site

$120 - $170/hr

... Data Science, and Cloud Computing for both government and commercial customers. They provide cloud solutions utilizing technologies such as Spark, AWS, Azure, Cloudera, Kubernetes, and Google Cloud ...

Analygence

Data Scientist

Arlington, VA

... data science methods, analytical models, and Palantir Foundry applications in direct support of Mission Assurance decision-making. Where the Senior Solutions Architect provides architectural ...

KBR

Data Scientist

Chantilly, VA

$161K - $221K/yr

KBR's work is at the forefront of engineering, logistics, operations, science, program management ... Experience working with cloud platforms (AWS, Azure, or Google Cloud). * Knowledge of MLOps tools ...

KBR, Inc.

Data Scientist

Chantilly, VA · On-site

$161K - $221K/yr

KBR's work is at the forefront of engineering, logistics, operations, science, program management ... Experience working with cloud platforms (AWS, Azure, or Google Cloud). * Knowledge of MLOps tools ...

Surescripts

Senior Data Scientist

Arlington, VA · On-site

... Google Cloud environment. In support of the Data Literacy Program, the Senior Data Scientist will ... Evangelize within company the capabilities and opportunities that data science and advanced ...

previous page

Showing results 41-60

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

Data Scientist

Steampunk

Mclean, VA • On-site

$125K - $160K/yr

Other

Re-posted 7 days ago

Job description

Overview
We are seeking aData Scientist to design, build, and deliver predictive analytics, machine learning models, and data-driven insights that support mission and business outcomes. This role requires strong analytical and modeling skills, hands-on experience with ML frameworks, and the ability to collaborate across engineering, data, and product teams. The Data Scientist will contribute to the full lifecycle of model development, from data exploration and feature engineering to model training, evaluation, and deployment, while supporting the articulation of insights and recommendations to technical and non-technical stakeholders.
Contributions
  • Conduct exploratory data analysis (EDA) to uncover trends, identify data quality issues, and determine modeling opportunities.
  • Develop machine learning models using frameworks such as scikit-learn, XGBoost, PyTorch, TensorFlow, or similar libraries.
  • Perform feature engineering, dataset preparation, and model optimization to improve predictive accuracy and operational performance.
  • Evaluate models using appropriate statistical methods and performance metrics, documenting findings and informing iterative improvements.
  • Work with Data Engineers to understand and enhance data pipelines, ensuring model-ready datasets are accurate, complete, and consistent.
  • Collaborate with AI Developers and LLMOps/MLOps Engineers to integrate ML models into production environments or decision-support applications.
  • Build visualizations, dashboards, data stories, and executive-friendly summaries to communicate insights clearly to stakeholders.
  • Support human-centered design processes by translating user needs into modeling requirements and refining model outputs based on feedback.
  • Contribute to reproducibility and auditability by maintaining well-organized code, notebooks, documentation, and experiment histories.
  • Stay current with modern data science methodologies, ML techniques, data processing tools, and cloud-enabled analytics workflows.
  • You will contribute to the growth of our AI & Data Exploitation Practice!

Qualifications
  • Ability to hold a position of public trust with the U.S. government.
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Analytics, Engineering, Economics, or a related field.
  • 6+ years of experience building and evaluating machine learning models or performing advanced analytics.
  • Proficiency in Python and core data science libraries (Pandas, NumPy, scikit-learn, Matplotlib/Seaborn).
  • Hands-on experience with at least one modern ML framework (e.g., PyTorch, TensorFlow, XGBoost).
  • Experience writing efficient SQL queries and working with structured or semi-structured data in cloud or database environments.
  • Familiarity with cloud data and ML platforms such as AWS, Azure, GCP, or Databricks.
  • Strong understanding of statistics, probability, experimental design, and model validation techniques.
  • Ability to communicate technical concepts clearly to stakeholders and collaborate across multidisciplinary teams.
  • Experience with dashboarding tools (Tableau, Power BI) or Python visualization libraries is a plus.
  • Curiosity and adaptability, with a drive to stay current in rapidly evolving data and ML practices.
  • Relevant certifications (helpful but not required): Databricks Data Scientist Associate, AWS ML Specialty, Azure Data Scientist Associate, Google Professional Data Engineer.

About steampunk
Steampunk relies on several factors to determine salary, including but not limited to geographic location, contractual requirements, education, knowledge, skills, competencies, and experience. The projected compensation range for this position is $125,000 to $160,000. The estimate displayed represents a typical annual salary range for this position. Annual salary is just one aspect of Steampunk's total compensation package for employees. Learn more about additional Steampunk benefits here.
Identity Statement
As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Steampunk is a Change Agent in the Federal contracting industry, bringing new thinking to clients in the Homeland, Federal Civilian, Health and DoD sectors. Through our Human-Centered delivery methodology, we are fundamentally changing the expectations our Federal clients have for true shared accountability in solving their toughest mission challenges. As an employee owned company, we focus on investing in our employees to enable them to do the greatest work of their careers - and rewarding them for outstanding contributions to our growth. If you want to learn more about our story, visit http://www.steampunk.com.

Apply