As a Senior Data and Applied Scientist, you will work with Pattern's Data Science team to curate
and analyze data, and apply machine learning models and statistical techniques to solve businessproblems across the organization. Most of your work will revolve around logistics and operations.
What you’ll do:
● Design, build, and maintain predictive machine learning models and simulations to optimizesolutions across Pattern.● Communicate potential model improvements, data needs, and opportunities across relevantbusiness units and developer teams.● Continuously optimize the quality of our machine learning models.● Conduct research to integrate new data sources, innovate in feature engineering, fine-tunealgorithms, and enhance data pipelines for robust model performance.● Analyze large datasets to extract actionable insights that guide business decisions.● Work closely with data science teams across different regions (US and India), ensuring seamlesscollaboration and knowledge sharing.● Follow code standards and best practices.● Perform root cause analysis to determine accuracy defects and drive improvements.
What we’re looking for:
● Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Economics, or arelated field.● 3-6 years of industry experience in building and deploying machine learning solutions andsimulations.● 1-3 years of industry experience in logistics/operations preferred.● Excellent communication skills (written and verbal) across departments with different levels ofmachine learning knowledge.● Strong data manipulation and programming skills in Python and SQL, and hands-on experiencewith libraries such as Pandas, NumPy, Scikit-Learn, XGBoost.● Strong problem-solving skills and an ability to analyze complex data.● In-depth expertise in a range of machine learning and statistical techniques, such as linear andtree-based models, along with understanding of model evaluation metrics.● Understanding of linear programming, integer programming, and nonlinear programming.● Experience with Git, AWS, and deep learning models is advantageous.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses.
These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.apply for this job
