Data Science Specialist - Hybrid

At Dow, we believe in putting people first and we’re passionate about delivering integrity, respect and safety to our customers, our employees and the planet.  

Our people are at the heart of our solutions. They reflect the communities we live in and the world where we do business. Their diversity is our strength. We’re a community of relentless problem solvers that offers the daily opportunity to contribute with your perspective, transform industries and shape the future. Our purpose is simple - to deliver a sustainable future for the world through science and collaboration. If you’re looking for a challenge and meaningful role, you’re in the right place. 

Dow has an exciting opportunity for a Data Science Specialist located in Houston, TX or Midland, MI. The role will align to Dow's Design Your Day approach and allows employees flexibility by choosing when to work remotely and when to attend on-site activities based on project work and role needs.

About you and this role

The Digital Operations Center (DOC) is a critical component in leading innovation and enabling Dow's Digital Strategy for Manufacturing. The center includes a blend of resources from Manufacturing Operations, Engineering, and Information Systems and collaborates closely with other key functions. The DOC team includes personnel with expertise in analytics, process control, process automation, sensors, robotics, and mobility to digitalize Dow’s operations. This multidisciplinary team coordinates with other functions such as R&D, Manufacturing, and IT to facilitate rapid prototyping of new capabilities to enhance the competitive position of Dow's manufacturing and site facilities. 

Within the DOC, the Analytics & AI Team is focused on the exploration and evaluation of emerging technologies, providing technical expertise in the areas of analytics, data science, machine learning, generative AI, and more. As a part of this team, you will collaborate with relevant expertise centers within the company to drive projects that support the digitalization of Dow Manufacturing. 

In this role, you will use expanded conceptual and practical knowledge in Analytics and Data Science to drive the design and execution of proof of concept projects that safely and effectively evaluate emerging digital technology solutions to create value for Dow manufacturing. As a Data Science Specialist for the Analytics & AI Platform within the Global Digital Operations Center organization, you will work at the intersection of chemical manufacturing and data science.

Responsibilities

• Leads or supports Analytics projects for the optimization of plant production and operation globally
• Identifies opportunities and leads projects to develop digital technology improvements for manufacturing that create value for business partners
• Engages with teams to provide direction for external relationships (e.g., vendors, consortia, academic partnerships) for technology development
• Ensures all solutions deployed are highly reliable, scalable, and adhere to all applicable internal requirements and external/government requirements
• Uses your expertise and familiarity in data analytics, AI, or advanced mathematical modeling techniques to ensure developed and deployed solutions are both quality and cost competitive and have a focus on innovation and sustainability
• Provides mentorship and coaching to peers on the topic of Analytics technology
• Ability to travel up to 10% annually within the US

Qualifications

• A minimum of a Bachelor’s degree, 5 years relevant experience, or relevant military experience at a U.S. E6 rank or Canadian Petty Officer 2nd Class or higher
• A minimum of 3 years relevant experience
• A minimum requirement for this US-based position is the ability to work legally in the United States. No visa sponsorship/support is available for this position, including for any type of U.S. permanent residency (green card) process 

Preferred Skills

• Degree discipline in computer science, IT, statistics, mathematics, engineering, or other related field
• Self-motivated to learn quickly and deliver high-quality results with a strong focus on innovation
• Strong analytical thinking and ability to take independent actions and influence events to achieve results
• Knowledge of project management including stakeholder engagement, scope and budget management, project risks, and skill in influencing for positive outcomes
• Ability to interact internally with key leadership across all businesses and functions
• Strong communication skills in English, both verbal and written
• Strong interpersonal skills, with an ability to thrive in a multi-cultural team
• Abilit