About the Role
In this role you will work with a data science team and cross-functional partners to solve business challenges in the area of price optimization, promoting data-driven decision making with advanced data analysis, causal inference 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
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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
- Experience with causal inference concepts and modeling techniques
- Understanding of econometrics and price elasticity modeling
- Experience supporting and enhancing live production models