Senior Data and Applied Scientist

What you’ll do

• Design, build, and maintain predictive machine learning models and simulations to optimize

solutions across Pattern.

• Communicate potential model improvements, data needs, and opportunities across relevant

business 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-tune

algorithms, 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 seamless

collaboration 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 a

related field.

• 3-6 years of industry experience in building and deploying machine learning solutions and

simulations.

• 1-3 years of industry experience in logistics/operations preferred.
• Excellent communication skills (written and verbal) across departments with different levels of

machine learning knowledge.

• Strong data manipulation and programming skills in Python and SQL, and hands-on experience

with 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 and

tree-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.