Data Scientist

Dow Chemical; Sugar Land (TX); On-site; USD 90,000 - 120,000; Full time

Job summary

A leading materials science company is seeking a Data Scientist in Texas. The role involves leveraging AI and analytics for data-driven insights, leading the development of machine learning solutions, and collaborating with cross-functional teams. Candidates should have a Bachelor's degree in Data Science or related fields and at least two years of relevant experience, with a strong skill set in Python and data analysis.

Benefits

Competitive salary and bonus opportunities

Equitable work-life balance programs

Comprehensive health and wellness benefits

Career development programs

Qualifications

• Minimum of 2 years relevant work experience in data science.
• Ability to work legally in the United States.
• Proficiency in working with complex datasets.

Responsibilities

• Lead the design of data science analytics solutions.
• Guide data preprocessing and feature engineering.
• Develop machine learning and deep learning solutions.
• Deploy and maintain scalable analytics solutions.

Skills

Data Science

Python

Stakeholder Management

Strategic Thinking

Education

Bachelor's degree in Data Science or related field

Master's degree preferred

Tools

Databricks

Microsoft Azure

Neo4j

Job description

Overview

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

Dow has an exciting opportunity for a Data Scientist located in Midland, MI or Houston, TX.

Dow (NYSE: DOW) is one of the worlds 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.comopens in a new tab.

About you and this role

About the 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 bachelors degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, Chemistry, or a related quantitative field, or relevant military experience at or above a U.S. E5 ranking or Canadian Petty Officer 2nd Class or Sergeant. Masters 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

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.

• 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 Groups (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 worlds 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.comopens in a new tab.

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 on www.dow.comopens in a new tab.

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.