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At a glance

Position:Data Scientist

Primary Location:Midland (MI, USA), Michigan, United States of America

Additional Locations: Houston (TX, USA) + More - Less

Schedule:Full time

Date Posted:10/16/2025

Job Number:R2062000

Position Type:Regular

Workplace Type:Hybrid or Onsite

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 (NYSE: DOW) is one of the world’s leading materials science companies, serving customers in high-growth markets such as packaging, infrastructure, mobility and consumer applications. Our global breadth, asset integration and scale, focused innovation, leading business positions and commitment to sustainability enable us to achieve profitable growth and help deliver a sustainable future. We operate manufacturing sites in 30 countries and employ approximately 36,000 people. Dow delivered sales of approximately $43 billion in 2024. References to Dow or the Company mean Dow Inc. and its subsidiaries. ​​​​Learn more about us and our ambition to be the most innovative, customer-centric, inclusive and sustainable materials science company in the world by visiting www.dow.com.

Dowhas an exciting opportunity for aData Scientistlocated inMidland, MIorHouston, TX.

About you and this role

Dow’s Analytics & AI Hub (AAIH) enables Dow’s growth via AI- and analytics-powered delivery and innovation​ in the Enterprise Data & Analytics Organization. Our mission is to harness the power of AI, advanced analytics, and business intelligence to drive growth, optimize costs and outperform the competition.

Within AAIH, the Analytics & AI team uncovers hidden insights and forecasts future outcomes with actionable recommendations—empowering partners across the enterprise through a range of solution offerings​. We aim to enable smarter, faster decision-making at every level of the organization.​

We are seeking a skilled data scientist to extract knowledge and insights from high-volume, high-dimensional data to investigate complex business problems. You will lead initiatives that leverage knowledge graphs and graph databases to address multifaceted challenges across the enterprise. This role also includes applying advanced statistical analysis, algorithms, predictive modeling, experimentation, and pattern recognition to create solutions that enhance business performance.

This role is ideal for someone who thrives in cross-functional environments, guiding teams through advanced data modeling, semantic reasoning, and a broad range of data science tools to deliver impactful solutions.

Responsibilities

+ Lead the design of end-to-end data science analytics solutions using technologies such as Databricks, Microsoft Azure services, and Neo4j

+ Guide and execute data preprocessing, harmonization, and feature engineering to prepare modeling datasets

+ Research and apply emerging data science principles, theories, and techniques to inform business decisions

+ Develop and validate machine learning, deep learning, and Generative AI solutions—selecting the least complex approach that meets business needs

+ Deploy and maintain scalable analytics solutions

+ Lead stakeholder conversations to translate business needs into data-driven recommendations

+ Mentor junior data scientists and contribute to the development of best practices across analytics and AI domains

Qualifications

+ A minimum of a bachelor’s degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, Chemistry, or a related quantitative field.orrelevant military experience at or above a U.S. E5 rankingorCanadian Petty Officer 2nd Class or Sergeant. Master’s degree preferred.

+ A minimum of 2 years relevant work experience.

+ A minimum requirement for this U.S. 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.

Required Skills

+ Data Science:Ability to extract insights from complex datasets using statistical analysis, modeling, and machine learning techniques to inform business decisions

+ Python:Proficiency in Python for data manipulation, modeling, and deployment of analytics solutions using libraries such as pandas, scikit-learn, and TensorFlow

+ Stakeholder Management:Skill in engaging with cross-functional teams and business partners to understand needs, communicate insights, and drive alignment on data-driven strategies

+ Strategic Thinking:Capacity to connect analytics work to broader business goals, anticipate future challenges, and guide teams toward impactful, long-term solutions

Optional Skills

+ Generative AI:Experience applying models that generate text, code, or other content using techniques such as large language models (LLMs)

+ Graph Databases:Familiarity with graph-based data structures and platforms (e.g., Neo4j) to model relationships and uncover insights through semantic reasoning

+ Machine Learning:Ability to build, train, and evaluate predictive models using supervised and unsupervised learning techniques

+ Machine Learning Operations (MLOps):Knowledge of tools and practices for deploying, monitoring, and maintaining machine learning models in production environments

+ Natural Language Processing (NLP):Experience working with unstructured text data to extract meaning, classify content, or enable conversational interfaces

+ Optimization Methods:Understanding of mathematical techniques to improve decision-making, resource allocation, or system performance

+ Statistical Analysis:Proficiency in applying statistical methods to interpret data, test hypotheses, and support evidence-based conclusions

+ Time Series Analysis:Ability to analyze and model data indexed over time to identify trends, seasonality, and forecast future values

+ Data Visualization:Skill in creating clear and compelling visual representations of data to support storytelling and decision-making

+ Analytics-Ready Data Engineering:Designs and maintains robust data pipelines that ingest, transform, and store clean, enriched data structures optimized for analytics and decision-making.

Note: this position does not offer relocation assistance.

Benefits – 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, financial, and social 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.

+ Employee stock purchase programs (availability varies depending on location).

+ Student Debt Retirement Savings Match Program (U.S. only).

+ Dow will take the value of monthly student debt payments and apply them as if they are contributions to the Employees’ Savings Plan (401(k)), helping employees reach the Company match.

+ Robust medical and life insurance packages that offer a variety of coverage options to meet your individual needs. Travel insurance is also available in certain countries/locations.

+ 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.

+ Competitive yearly vacation allowance.

+ 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.

+ Wellbeing Portal for all Dow employees, our one-stop shop to promote wellbeing, empowering employees to take ownership of their entire wellbeing journey.

+ On-site fitness facilities to help stay healthy and active (availability varies depending on location).

+ Employee discounts for online shopping, cinema tickets, gym memberships and more.

+ Additionally, some of our locations might offer:

+ Transportation allowance (availability varies depending on location)

+ Meal subsidiaries/vouchers (availability varies depending on location)

+ Carbon-neutral transportation incentives e.g. bike to work (availability varies depending on location)

Join our team, we can make a difference together.

About Dow

Dow (NYSE: DOW) is one of the world’s leading materials science companies, serving customers in high-growth markets such as packaging, infrastructure, mobility and consumer applications. Our global breadth, asset integration and scale, focused innovation, leading business positions and commitment to sustainability enable us to achieve profitable growth and help deliver a sustainable future. We operate manufacturing sites in 30 countries and employ approximately 36,000 people. Dow delivered sales of approximately $43 billion in 2024. References to Dow or the Company mean Dow Inc. and its subsidiaries. ​​​​Learn more about us and our ambition to be the most innovative, customer-centric, inclusive and sustainable materials science company in the world by visiting www.dow.com.

As part of our dedication to inclusion, 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.