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Executive Chemical Engineering Data Science Jobs in Virginia

Data Scientist

Mclean, VA

$125K - $160K/yr

Build visualizations, dashboards, data stories, and executive-friendly summaries to communicate ... degree in Data Science, Computer Science, Statistics, Mathematics, Analytics, Engineering ...

Conduct technical analysis using chemical engineering and scientific principles to identify and ... Produce detailed, executive-level technical assessments and briefings for government leadership and ...

Conduct technical analysis using chemical engineering and scientific principles to identify and ... Produce detailed, executive-level technical assessments and briefings for government leadership and ...

Data Scientist

Mclean, VA

$125K - $160K/yr

Build visualizations, dashboards, data stories, and executive-friendly summaries to communicate ... degree in Data Science, Computer Science, Statistics, Mathematics, Analytics, Engineering ...

Apply advanced data science techniques including exploratory data analysis, feature engineering, predictive modeling, hypothesis testing, and algorithm development * Architect and deploy advanced ...

Apply advanced data science techniques including exploratory data analysis, feature engineering, predictive modeling, hypothesis testing, and algorithm development * Architect and deploy advanced ...

Data Scientist

Mclean, VA · On-site

$125K - $160K/yr

Build visualizations, dashboards, data stories, and executive-friendly summaries to communicate ... degree in Data Science, Computer Science, Statistics, Mathematics, Analytics, Engineering ...

Collaborate with engineering, product, UX, and business leaders to prioritize ideas, launch MVPs ... Strong communication skills to influence executives, translating complex analysis into compelling ...

Sc. in Nuclear Engineering, Computer Science, or a related field is highly desired. * Strong ... synthetic data generation. What We Offer: * Competitive salary and benefits package, including ...

Collaborate with engineering, product, UX, and business leaders to prioritize ideas, launch MVPs ... Strong communication skills to influence executives, translating complex analysis into compelling ...

Conduct data exploration, feature engineering, model training, validation, testing, and performance ... Strong proficiency in Python and experience with modern data science and engineering frameworks.

Conduct data exploration, feature engineering, model training, validation, testing, and performance ... Strong proficiency in Python and experience with modern data science and engineering frameworks.

Sc. in Nuclear Engineering, Computer Science, or a related field is highly desired. * Strong ... synthetic data generation. What We Offer: * Competitive salary and benefits package, including ...

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Executive Chemical Engineering Data Science information

What is the difference between Executive Chemical Engineering Data Science vs Chemical Engineering Data Scientist?

AspectExecutive Chemical Engineering Data ScienceChemical Engineering Data Scientist
CredentialsAdvanced degrees (Master's/PhD), management experienceDegree in chemical engineering, data science, or related field
Work EnvironmentLeadership roles, strategic planning, cross-departmental collaborationTechnical analysis, modeling, data analysis within engineering teams
Employer & Industry UsageSenior management in chemical or process industriesResearch labs, engineering firms, manufacturing companies
Search & Comparison IntentUnderstanding leadership vs technical roles in data scienceTechnical data analysis in chemical engineering

Executive Chemical Engineering Data Science professionals focus on strategic leadership, decision-making, and managing data science initiatives within chemical industries. In contrast, Chemical Engineering Data Scientists are primarily involved in technical data analysis, modeling, and implementing data-driven solutions at a technical level. Both roles require strong technical backgrounds, but their responsibilities and work environments differ significantly.

What are the most commonly searched types of Chemical Engineering Data Science jobs in Virginia? The most popular types of Chemical Engineering Data Science jobs in Virginia are:

IT Manager - Platform Engineering & Data Science

Ferguson Enterprises, LLC

Springfield, VA • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Ferguson Waterworks rating

9.1

Company rating: 9.1 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

24th of 415 rated retail wholesalers


Job description

Job Posting:
Since 1953, Ferguson has been a source of quality supplies for a variety of industries. Together We Build Better infrastructure, better homes and better businesses. We exist to make our customers' complex projects simple, successful, and sustainable. We proactively solve problems, adapt and grow to continuously serve our customers, communities and each other. Ferguson, a Fortune 500 company, is proud to provide best-in-class products, service and capabilities across the following industries: Commercial/Mechanical, Facilities Supply, Fire and Fabrication, HVAC, Industrial, Residential Trade, Residential Building and Remodel, Waterworks and Residential Digital Commerce. Ferguson has approximately 36,000 associates across 1,700 locations. Ferguson is a community of proud associates who operate with the shared purpose of building something meaningful. You will build a career that you are proud of, at a company you can believe in.
Manager, Platform Engineering & Data Science
The Manager, Platform Engineering & Data Science is a key technology leader within Ferguson's AI Technology and Innovation organization, responsible for building and evolving the platforms, engineering standards, and cloud capabilities that enable scalable AI, machine learning, and software delivery across the enterprise. This role leads a team of platform engineers, architects, and technical specialists who provide the foundational capabilities that power AI innovation, modern application development, and data science initiatives. Working across a hybrid-cloud environment, with Google Cloud Platform (GCP) as the primary hyperscaler and Azure supporting hybrid workloads and legacy integrations, this leader will drive platform strategy, cloud architecture, developer experience, DevSecOps maturity, and MLOps capabilities that accelerate the delivery of secure, reliable, and scalable solutions.
Reporting to the Director, AI Technology and Innovation, the Manager, Platform Engineering & Data Science will collaborate closely with experts in AI Engineering, Data Science, Product, Architecture, and IT to modernize technology platforms, improve engineering efficiency, and enable teams to move rapidly from experimentation to production while delivering measurable business value.
Location: This role is approved to be remote within the United States; however, candidates must reside in the Eastern or Central time zones to support collaboration with team members based in Newport News, VA, and our Global Capability Center (GCC) team in India. Associates located near Newport News may work in a hybrid arrangement in accordance with company policy. Occasional travel to Ferguson headquarters in Newport News, VA, and other company locations, including Tampa, FL, is expected.
Duties and Responsibilities:
  • Lead, coach, and develop a high-performing team of platform engineers, architects, and technical specialists.
  • Define and execute the platform engineering, cloud, and data science roadmap in support of Ferguson's AI and technology strategy.
  • Design, build, and optimize scalable, secure, and reliable platform capabilities across Google Cloud Platform (GCP) and hybrid-cloud environments.
  • Partner with AI Engineering, Data Science, Product, and Architecture teams to enable the development, deployment, and operation of AI and machine learning solutions.
  • Drive DevSecOps, CI/CD, infrastructure automation, and platform reliability standards to improve delivery speed, quality, and operational efficiency.
  • Own and enhance MLOps and data science platform capabilities, supporting model development, training, deployment, and monitoring at scale.
  • Establish engineering standards, architecture patterns, API strategies, and reusable platform services that accelerate software delivery.
  • Lead platform modernization initiatives, including cloud adoption, developer experience improvements, automation, and legacy technology retirement.
  • Manage project delivery, budgets, vendor relationships, and team capacity to ensure successful execution of critical initiatives.
  • Supervise platform performance, security, availability, and scalability while proactively identifying and mitigating risks.
  • Build strong partnerships with business and technology leaders to align platform investments with organizational priorities.
  • Stay ahead of emerging cloud, AI, data, and engineering technologies to drive innovation and continuous improvement.

Qualifications and Requirements:
  • Bachelor's degree in information technology, computer science or related field preferred, or equivalent experience.
  • Must have at least 5 years of hands-on experience in platform engineering. Experience in machine learning implementation and data analytics enablement is required. You should have broad knowledge of how platform capabilities support integration and innovation across different business domains.
  • Must have prior experience directly leading engineering or technical talent, including performance management and career development for direct reports; experience with offshore/onsite consultants preferred.
  • Must have direct experience in software programming with Java and/or Python, along with Software Architecture and Engineering expertise.
  • Must have experience in secure software delivery (DevSecOps) and continuous integration/continuous deployment (CI/CD), and pipeline development.
  • Must have hands-on experience architecting and operating platform services on Google Cloud Platform (GCP) as the primary hyperscaler, with working knowledge of Azure to support hybrid-cloud workloads and legacy system integration.
  • Experience enabling data science and ML workflows using cloud-native tooling (e.g., Vertex AI, BigQuery, or equivalent feature-store, pipeline-orchestration, and model-serving constructs) strongly preferred.
  • Must have experience creating operational dashboards, telemetry configurations and alerting templates for end-to-end flow of data services using APM and Data Logging solutions such as AppDynamics, DataDog etc.
  • Solid understanding and experience implementing software design patterns and modern standards.
  • Must be a hands-on software engineer able to work alongside a cross-functional team of software engineers, software architects, data scientists, and software quality engineers as needed.
  • Demonstrates high aptitude, initiative, and self-drive - proactively finds opportunities to improve the platform and data science tooling rather than waiting for direction, and leads technical work hands-on rather than purely delegating.
  • Strong leadership and interpersonal relationship building skills.
  • Strong written communication skills with the ability to deliver compelling presentations.

At Ferguson, we care for each other. We value our well-being just as much as our hard work. We are committed to a holistic approach towards benefits plans and programs that support the mental, physical and financial well-being of our associates. Our competitive offering not only includes benefits like health, dental, vision, paid time off, life insurance and a 401(k) with a company match, but our associates also enjoy additional meaningful and inclusive enhancements that are adaptable to their diverse situations and needs, including mental health coverage, gender affirming and family building benefits, paid parental leave, associate discounts, community involvement opportunities and more!
#LI-REMOTE
Pay Range:
Actual pay rate may vary depending upon location. The estimated pay range for this position is below. The specific rate will depend on a candidate's qualifications and prior experience.
$7,568.91 - $13,247.76
Estimated Ranges displayed are Monthly for Salaried roles OR Hourly for all other roles.
This role is Bonus or Incentive Plan eligible.
Ferguson complies with all wage regulations. The starting wage may be higher in certain locations based on local or state wage requirements.
The Company is an equal opportunity employer as well as a government contractor that shall abide by the requirements of 41 CFR 60-300.5(a), which prohibits discrimination against qualified protected Veterans and the requirements of 41 CFR 60-741.5(A), which prohibits discrimination against qualified individuals on the basis of disability.
Ferguson Enterprises, LLC. is an equal employment employer F/M/Disability/Vet/Sexual Orientation/Gender Identity.
Equal Employment Opportunity and Reasonable Accommodation Information

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