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Director Chemical Engineering Data Science Jobs (NOW HIRING)

Bloom Energy

Sr. Staff Data Scientist

San Jose, CA · On-site

... Science team, where you will apply deep chemical engineering expertise alongside coding, analytics, and automation to improve, scale, and optimize complex manufacturing processes. This role sits at ...

Bloom Energy

Sr. Staff Data Scientist

San Jose, CA · On-site

... Science team, where you will apply deep chemical engineering expertise alongside coding, analytics, and automation to improve, scale, and optimize complex manufacturing processes. This role sits at ...

Addison Group

Chemical Engineering Analyst

Sardis, MS · On-site

$50K - $70K/yr

Chemical Engineering Analyst Location: Sardis, MS Base Salary: $50,000-$70,000. Company Overview ... This role will drive process optimization, equipment validation, data analysis, and innovation ...

BWX Technologies

Engineering Data Scientist

Lynchburg, VA · On-site +1

$62K - $97K/yr

A Bachelor's degree in a Science or Engineering field (e.g. mechanical, nuclear, electrical, computer) is required, with a concentration in or project experience with data science techniques. * A ...

BWX Technologies

Engineering Data Scientist

Lynchburg, VA · On-site +1

$62K - $97K/yr

A Bachelor's degree in a Science or Engineering field (e.g. mechanical, nuclear, electrical, computer) is required, with a concentration in or project experience with data science techniques. * A ...

Addison Group

Chemical Engineering Analyst

Sardis, MS · On-site

$50K - $70K/yr

Chemical Engineering Analyst Location: Sardis, MS Base Salary: $50,000-$70,000. Company Overview ... This role will drive process optimization, equipment validation, data analysis, and innovation ...

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Director Chemical Engineering Data Science information

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$73K

$194.7K

$254K

How much do director chemical engineering data science jobs pay per year?

As of Jul 7, 2026, the average yearly pay for director chemical engineering data science in the United States is $194,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,500.00 and $253,000.00 per year, depending on experience, location, and employer.

Can you make 300k as a chemical engineer?

A Director of Chemical Engineering Data Science can potentially earn $300,000 or more annually, especially with extensive experience, advanced skills in data analytics and machine learning, and working in high-paying industries or companies. Compensation varies based on location, company size, and individual expertise. Senior roles with leadership responsibilities tend to have higher salaries in this field.

What is the highest paid job in Data Science?

In data science, executive roles such as Chief Data Officer or Director of Data Science tend to be the highest paid, often earning six-figure salaries or more, especially in large organizations. Specialized roles like Machine Learning Engineers or Data Science Consultants with advanced skills in AI, deep learning, and cloud platforms also command high compensation.

Can a chemical engineer be a data scientist?

A chemical engineer can become a data scientist by developing skills in programming, statistics, and machine learning, which are essential for data analysis roles. Many chemical engineers transition into data science by gaining experience with tools like Python, R, and data visualization software, often supplemented with additional training or certifications. Their strong analytical background and problem-solving skills are valuable assets in data science environments.

What does a Director of 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.

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 key skills and qualifications needed to thrive as a Director of 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.

Is 40 too late for Data Science?

For a Director of Chemical Engineering Data Science, starting a career in data science at age 40 is feasible, especially with relevant skills in programming, statistics, and domain knowledge. Many professionals transition into data science later in their careers, and experience can be an asset. Continuous learning through online courses and certifications can help accelerate entry into the field regardless of age.

How does a Director of 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.
More about Director Chemical Engineering Data Science jobs
What cities are hiring for Director Chemical Engineering Data Science jobs? Cities with the most Director Chemical Engineering Data Science job openings:
What are the most commonly searched types of Chemical Engineering Data Science jobs? The most popular types of Chemical Engineering Data Science jobs are:
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What job categories do people searching Director Chemical Engineering Data Science jobs look for? The top searched job categories for Director Chemical Engineering Data Science jobs are:
Director Chemical Engineering Data Science jobs near you
Infographic showing various Director Chemical Engineering Data Science job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $194,709 per year, or $93.6 per hour.
Director, Data Engineering & Data Science Engineering

Director, Data Engineering & Data Science Engineering

Ritchie Bros.

Westchester, IL • On-site

Full-time

Posted 9 days ago

Ritchie Bros. Auctioneers rating

7.5

Company rating: 7.5 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

3rd of 16 rated auctioneers

Job description

About the Role

IAA is seeking a Director of Data Engineering & Data Science Engineering to lead a highly visible, business-critical function at the intersection of data, analytics, machine learning, and business transformation. This leader will define and drive the vision, architecture, and execution for IAA's data engineering and data science capabilities, ensuring the organization can scale advanced analytics, BI, forecasting, machine learning, and AI solutions that directly support business growth and operational excellence.

This role requires a strong technical leader and business problem solver who can partner across a broad set of stakeholders including Operations, Business, Sales, Marketing, Product, and Engineering. The ideal candidate brings deep expertise in the Azure BI and data ecosystem, strong people leadership, and the ability to translate complex business needs into practical, scalable data and AI solutions.

This position reports directly to the VP of Engineering and is a critical, high-visibility leadership role within the organization.

What You'll Do

  • Lead the Data Engineering and Data Science Engineering function for IAA, setting technical vision, delivery strategy, and operating rhythm
  • Build and evolve scalable data platforms, BI architecture, and ML-enablement capabilities using the Azure data and analytics stack
  • Drive strategy and execution across Microsoft Fabric, Synapse, Power BI, Azure BI technologies, and modern cloud data platforms
  • Partner with business and functional leaders to solve high-value problems across Operations, Sales, Marketing, Product, and other key areas
  • Guide the design and implementation of robust pipelines, semantic models, dashboards, self-service analytics, forecasting solutions, and machine learning systems
  • Help shape the roadmap for advanced analytics, predictive modeling, experimentation, and AI-driven insights
  • Mentor, coach, and grow data engineering and data science talent while raising the technical bar across the team
  • Establish strong engineering practices across architecture, delivery quality, scalability, governance, and operational excellence
  • Collaborate closely with engineering leaders and cross-functional teams to ensure data and AI solutions are aligned with platform, product, and business priorities
  • Act as a senior thought partner to leadership on data strategy, technical tradeoffs, and investment priorities

What We're Looking For

  • Proven experience leading Data Engineering, BI, Analytics, and/or Data Science Engineering teams at the Director level or equivalent
  • Deep expertise in the Azure BI / data technology stack, including:
    • Microsoft Fabric
    • Azure Synapse Analytics
    • Power BI
    • Broader Azure data and analytics services
  • Strong understanding of data engineering architecture, modern analytics platforms, and scalable data pipelines
  • Strong foundation in data science, machine learning, and model operationalization
  • Demonstrated ability to solve complex business problems through data, analytics, and technical leadership
  • Strong mentoring, coaching, and people leadership skills with experience growing high-performing technical teams
  • Excellent communication and stakeholder management skills; able to work effectively with a wide range of technical and non-technical partners such as Ops, Business, Sales, Marketing, Product, Engineering 
  • Ability to operate successfully in a fast-paced, high-visibility environment with multiple priorities and stakeholders
  • Strong executive presence and the ability to connect technical decisions to business outcomes

Preferred Experience

  • Experience supporting enterprise use cases across operations, commercial functions, and product-driven organizations
  • Experience driving both BI modernization and data science / ML adoption within the same organization
  • Familiarity with cloud-native engineering practices, production-grade data platforms, and secure, scalable AI/ML environments
  • Experience leading organizations that combine data engineering, analytics engineering, BI, and data scienceunder one leadership model

IAA Data Science / Engineering Technology Environment

We are looking for a leader who can guide and expand a modern data and AI ecosystem. Relevant technologies include Azure BI capabilities as well as IAA's broader data science and ML toolset, including technologies such as Python, SQL, Azure Event Hub, Apache Airflow, Synapse, Fabric, Docker, Terraform, DBT, PyTorch, TensorFlow, Vertex AI, Gemini, GPT, Prophet, TBATS, SARIMAX, scikit-learn, CI/CD pipelines, and Azure cloud platform.

Why This Role Matters

This is a critical leadership role for IAA. The Director will help shape how the company uses data, analytics, BI, and AI to make better decisions, improve business performance, unlock operational efficiencies, and create scalable competitive advantage. This leader will influence both technical direction and business outcomes across the organization.

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