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 prospect to contribute with your perspective, transform industries and shape the future. Our purpose is straightforward - 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.
About you and this role
Dow has an exciting opportunity for a Data Scientist Specialist on the Enterprise Data & Analytics team. Extracts knowledge and insights from high volume, high dimensional data in order to investigate complex business problems through a range of data preparation, modeling, analysis and/or visualization techniques, which may include the use of advanced statistical analysis, algorithms, predictive modeling,
experimentation and pattern recognition to create solutions that enable enhanced business performance.
Responsibilities
• Participating in the design and development of end-to-end data science analytics solutions using associated technologies and in key conversations with stakeholders about data-driven recommendations to enable the business objective.
• Perform data preprocessing, harmonization, and feature engineering to prepare modeling datasets.
• Development of machine learning or deep learning models, validation and maintenance using Python and identify when more easy techniques can be applied.
• Researching and applying knowledge of existing and emerging data science principles, theories, and techniques to inform business decisions. Researching and leveraging supervised and unsupervised learning techniques.
Qualifications
• A minimum of a Bachelor’s degree in a quantitative fi
📌 Data Science Specialist Navi Mumbai (India)
🏢 Dow
📍 India