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Director Chemical Engineering Data Science Jobs in Virginia

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... Collaborate with engineering, product, UX, and business leaders to prioritize ideas, launch MVPs ...

... direct partnership with the Defense Intelligence Agency (DIA). You will work within a multi ... Apply advanced data science techniques including exploratory data analysis, feature engineering ...

... direct partnership with the Defense Intelligence Agency (DIA). You will work within a multi ... Apply advanced data science techniques including exploratory data analysis, feature engineering ...

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

Data Science SME Mid

Springfield, VA · On-site

$115 - $157.94/hr

... directed by the customer. * Education: A bachelor's degree from an accredited (i.e., regional ... Programming, Statistics, or Data Visualization). * Education: Department of Defense (DoD) Basic ...

Data Engineering Lead

Arlington, VA · On-site

$131K - $158K/yr

Collaborate with data scientists and analysts to understand data requirements, work with security teams to implement data protection measures, and stay current with data engineering technologies and ...

Data Science SME Mid

Fort Belvoir, VA · On-site

$115K - $157K/yr

... directed by the customer. * Education: A bachelor's degree from an accredited (i.e., regional ... Programming, Statistics, or Data Visualization). * Education: Department of Defense (DoD) Basic ...

... Engineering or related science discipline preferred. * Knowledge of chemical principles, thermodynamics, polymer chemistry, structure/property relationships, kinetics, and data analysis. * Experience ...

Data Science SME Senior

Fort Belvoir, VA · On-site

$120K - $171K/yr

... directed by the customer. * Education: A bachelor's degree from an accredited (i.e., regional ... Programming, Statistics, or Data Visualization). * Education: Department of Defense (DoD) Basic ...

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Director Chemical Engineering Data Science information

What does a director chemical engineering data science do?

A Director of Chemical Engineering Data Science leads teams that apply data science principles to chemical engineering challenges, such as optimizing processes, improving safety, and driving innovation. This role involves overseeing data-driven projects, collaborating with engineers and data scientists, and ensuring that advanced analytics and machine learning are effectively used in chemical engineering operations. The director also plays a strategic role in shaping data initiatives and aligning them with organizational goals.

How does a director chemical engineering data science typically collaborate with cross-functional teams to drive innovation?

A Director of Chemical Engineering Data Science frequently works alongside R&D scientists, process engineers, IT specialists, and business strategists to bridge the gap between data analytics and chemical engineering processes. This role involves leading data-driven projects, translating complex technical findings into actionable insights, and ensuring that data science initiatives align with organizational goals. Effective collaboration is essential, as the director often facilitates communication across departments, mentors interdisciplinary teams, and champions the adoption of new technologies to enhance innovation and operational efficiency.

What are the key skills and qualifications needed to thrive as a director chemical engineering data science, and why are they important?

To thrive as a Director of Chemical Engineering Data Science, you need advanced expertise in chemical engineering principles, data science methodologies, and a graduate degree in a related field. Proficiency with statistical analysis software (e.g., Python, R), machine learning platforms, and familiarity with process simulation tools are typically required, along with relevant certifications in data science or engineering management. Strong leadership, strategic thinking, and effective communication skills help drive cross-functional teams and translate complex data into actionable business insights. These skills and qualities are crucial for leveraging data-driven solutions to optimize chemical processes, enhance innovation, and achieve organizational objectives.

What is the difference between Director Chemical Engineering Data Science vs Chemical Engineer?

AspectDirector Chemical Engineering Data ScienceChemical Engineer
Required CredentialsAdvanced degrees (Master's/PhD), leadership experience, data science certificationsBachelor's or Master's in Chemical Engineering, engineering licensure often preferred
Work EnvironmentStrategic leadership, cross-departmental collaboration, data-driven decision makingDesign, develop, and optimize chemical processes in manufacturing or R&D
Employer & Industry UsageTech companies, large manufacturing firms, R&D organizationsChemical plants, pharmaceuticals, energy, and manufacturing industries

The main difference is that the Director Chemical Engineering Data Science focuses on strategic leadership and data-driven insights in chemical engineering, often requiring advanced degrees and data science expertise. In contrast, a Chemical Engineer is primarily involved in designing and operating chemical processes, with a focus on technical engineering skills and practical application.

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:

What are popular job titles related to Director Chemical Engineering Data Science jobs in Virginia?

For Director Chemical Engineering Data Science jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Director Chemical Engineering Data Science jobs in Virginia look for?

The top searched job categories for Director Chemical Engineering Data Science jobs in Virginia are:

What cities in Virginia are hiring for Director Chemical Engineering Data Science jobs?

Cities in Virginia with the most Director Chemical Engineering Data Science job openings:

IT Manager - AI Platform Engineering & Data Science

Newport News, VA • On-site


Ferguson Enterprises, Inc.
Wholesale • 10K+ employees

9.1

Company rating: 9.1 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

24th of 423 rated retail wholesalers

Great coworkers

People enjoy working here

Good employer


$84.46 - $147.85/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

## IT Manager - Platform Engineering & Data ScienceApplylocations: Remotetime type: Full timeposted on: Posted Todayjob requisition id: R-138931**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 either Remote within the United States or Hybrid for associates in Newport News, VA, in accordance with company policy.**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.* #J-18808-Ljbffr


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