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Data Science Specialist - Hybrid
Data Science Specialist - Hybrid-January 2024
Houston
Jan 9, 2026
About Data Science Specialist - Hybrid

  Data Science Specialist - Hybrid

  At a glance

  Position:Data Science Specialist - Hybrid

  Primary locationHouston (TX, USA), Texas, United States of America

  Additional Locations Midland (MI, USA) + More - Less

  Schedule:Full time

  Date Posted:01/18/2024

  Job Number:R2047622

  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.

  Dowhas an exciting opportunity for a Data Science Specialist located inHouston, TXorMidland, 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

  Ability to elevate the total team by proactively sharing knowledge and experience, leveraging collaboration tools

  Rich working knowledge of data, BI & Analytics technologies (data warehouses, marts, big data, reporting and visualizations)

  User interface (UI) development and/or BI dashboard development

  Understanding of AI and ML techniques and methods including Generative AI and Computer Vision

  Understanding of how to deploy models into production environments and maintain these efforts through the Machine Learning Operations (MLOps) lifecycle

  Programming skills including but not limited to: Python, R, C#, and SQL

  Experience with Microsoft Azure Cloud services and Azure DevOps

  Expertise within multiple work process disciplines, functions, and/or business units

  Additional notes

  This position does not offer relocation assistanceBenefits – What Dow offers you

  We invest in you.

  Dow invests in total rewards programs to help you manage all aspects of you: your pay, your health, your life, your future, and your career.  You bring your background, talent and perspective to work every day. Dow rewards that commitment by investing in your total wellbeing.

  Here are just a few highlights of what you would be offered as a Dow employee:

  Equitable and market-competitive base pay and bonus opportunity across our global markets, along with locally relevant incentives.

  Benefits and programs to support your physical, mental and emotional well-being, to help you get the care you need...when you need it.

  Competitive retirement program that may include company-provided benefits, savings opportunities, financial planning and educational resources to help you achieve your long term financial-goals.

  Become a Dow shareholder through various employee stock programs.

  Opportunities to learn and grow through training and mentoring, work experiences, community involvement and team building.

  Workplace culture empowering role-based flexibility to maximize personal productivity and balance personal needs.

  Global Paid Time Off (PTO) policies:

  Paid time off for new parents (birthing and non-birthing, including adoptive and foster parents).

  ​Paid time off to care for family members who are sick or injured.

  Paid time off to support volunteering and Employee Resource Group’s (ERG) participation.

  Join our team, we can make a difference together.

  About Dow

  Dow (NYSE: DOW) combines global breadth; asset integration and scale; focused innovation and materials science expertise; leading business positions; and environmental, social and governance leadership to achieve profitable growth and help deliver a sustainable future. The Company's ambition is to become the most innovative, customer centric, inclusive and sustainable materials science company in the world. Dow's portfolio of plastics, industrial intermediates, coatings and silicones businesses delivers a broad range of differentiated, science-based products and solutions for its customers in high-growth market segments, such as packaging, infrastructure, mobility and consumer applications. Dow operates manufacturing sites in 31 countries and employs approximately 37,800 people. Dow delivered sales of approximately $57 billion in 2022. References to Dow or the Company mean Dow Inc. and its subsidiaries. For more information, please visitwww.dow.comor follow@DowNewsroom (https://twitter.com/DowNewsroom) on Twitter.

  As part of our dedication to the diversity of our workforce, Dow is committed to equal opportunities in employment. We encourage every employee to bring their whole self to work each day to not only deliver more value, but also have a more fulfilling career. Further information regarding Dow's equal opportunities is available onwww.dow.com.

  Dow is an Equal Employment Opportunity employer and is committed to providing opportunities without regard for race, color, religion, sex, including pregnancy, sexual orientation, or gender identity, national origin, age, disability and genetic information, including family medical history. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may call us at 1-833-My Dow HR (833-693-6947) and select option 8.

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