Overview
Skills
Job Details
Key details:
-Focus on new pricing algorithms, churn prediction, and customer segmentation.
-Experience with Python, SQL, SageMaker, and Databricks is a must.
-Ideal candidate will have experience in commercial growth applications (e.g., B2B, pricing, sales analytics).
-Advanced degree in statistics, econometrics, physics, or applied mathematics preferred.
- Performs time-series analyses, hypothesis testing, and causal analyses to statistically assess relative impact and extract trends across all relevant functional areas.
- Transforms data into actionable insights and recommendations.
- Designs experiments and interprets the results to draw detailed and actionable conclusions.
- Builds statistical models to enhance understanding of trends and predicts future performance.
- Finds new opportunities and novel applications for our core internal data.
- Translates and champions our Machine Learning capabilities for non-technical audiences.
- Participates in end-to-end data science project lifecycle data mining and exploration, model development and evaluation, solution deployment in production, measurement and tracking.
- Designs, validates and evaluates solutions using Python, SQL and other programming tools.
- Creates presentations for senior leaders, which are often used to build board level presentations.
- Performs other job-related duties as assigned or apparent.
- Proficiency with programming in Python or R in data science and/or statistical analytics settings.
- Proficiency with relational databases and the ability to write SQL queries.
- Master s degree preferred.
- 3 years of demonstrated experience working with large databases to perform complex analysis.
- 3 years of demonstrated experience with statistics and multivariate analytical techniques including multivariate regression, logistic regression, cluster analysis, design of experiments, machine learning, and decision trees.
- Demonstrated experience building and deploying machine learning/AI models in a cloud computing environment (e.g. AWS).
- Experience with common commercial analytics topics (e.g. pricing optimization, customer segmentation, customer churn/lifetime value, etc.) or operational analytics topics (e.g. logistics analytics, route optimization, maintenance optimization, etc.).
- Bachelor's Degree in an analytical field (Mathematics, Computer Science, Information Management, Statistics, Engineering).
- 3 years of experience with advanced programming in Python or R and SQL, conducting complex statistical analysis and building machine learning algorithms with large databases in cloud computing environments.
- Additional Job Description Additional Job Description
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