Data Scientist I

About the Role

In this role you will work with a data science team and cross-functional partners to solve business challenges and promote data-driven decision making with advanced data analysis and machine learning.

What You’ll Do

• Assist in cleaning, preprocessing and analyzing large datasets to uncover trends, patterns and correlations

• Conduct exploratory data analysis to cull actionable insights using analytical rigor and statistical methods

• Collaborate with stakeholders to understand business requirements and translate them into technical solutions

• Develop and implement statistical and machine learning models to solve business problems within a cross-functional team

• Collaborate with senior data scientists to fine-tune, optimize and ensure the scalability of models and algorithms

• Document projects, including business objectives, data gathering and processing, leading approaches, final algorithm, detailed set of results and analytical metrics

• Identify and drive continuous improvement of key business metrics within the balanced team

• Remain current on the latest trends and developments in data science and technology through self-learning and training opportunities

• Additional tasks may be assigned

Addendum

DECISION SCIENCE

Accountabilities

• Begin to understand business challenges and their conversion into optimization problems, focusing on defining objectives and adhering to business constraints such as budget limitations and sell-through rates

• Contribute to large-scale optimization and statistical analysis in web analytics, forecasting, supply chain management, pricing and inventory management

• Contribute to the tuning of models by adjusting objective functions, constraints, etc.

Skills & Experience

• Experience using commercial or open-source optimization tools such as Gurobi, Pyomo, CPLEX, etc

• BS in Operations Research, Data Science, Computer Science, Machine Learning, Applied Mathematics, or equivalent quantitative field

What Skills You Have

Required

• Experience developing state-of-the-art algorithms using machine learning, statistical and optimization methods to power various aspects of highly complex business models and deliver value

• Experience using modern analytics tools, programming languages, and cloud platforms such as Python, R, Spark, SQL, GCP, etc.

• Strong problem-solving skills with an emphasis on product development

• Experience proposing rapid experiments to test the effectiveness of new strategies or initiatives and iterate quickly based on results

• Effective communication and collaboration skills

• Bachelor’s of Science in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field

• 2+ years of progressively complex data science or analytics experience

Preferred

• Master’s degree

• Retail experience

• Supply chain management

• Marketing models

• Logistics experience