Sr. Data Scientist Time Series Forecasting and Modeling

This is a remote position.

About the Role

Our client is one of the fastest growing tech companies in history! Supporting this rapid growth requires top talent, which could be you. We are looking for a Sr Data Scientist to join their capacity & efficiency engineering organization. In this role, you will design and build forecasting models to better understand all growth drivers that require their infrastructure to scale to meet product and business needs. Furthermore, you will contribute towards building a broad understanding of the consumption of resources across their entire tech stack, identify cost-savings opportunities and develop simulation models to help save significant resources in terms of money, time and effort.

An ideal candidate will be working closely with a highly cross-functional team, including product management, engineering, tech strategy, and leadership to help drive down the cost of infrastructure. A successful candidate will need to demonstrate strong technical skills, including coding, advanced statistics, experimentation, causal inference techniques, and machine learning, while also being able to present results to a senior leadership audience.

What You Will Do

·       Develop forecasting models and iterate on model refinement to minimize forecasting errors by developing a deeper understanding of how critical infrastructure components scale

·       Derive insights from data to identify opportunities for efficiency and resource consumption reduction across the infrastructure

·       Use statistical modeling techniques to develop north star metrics and KPIs to help provide a more rigorous data-driven approach to manage infrastructure

·       Develop simulation models for the infrastructure to improve our understanding of the various cost drivers and how to best control them, while managing risk, reliability and availability

·       Conduct ad-hoc analysis, reporting, and build visualizations to communicate findings to engineering leadership

·       Present findings to senior leadership to drive business decisions​

Requirements

Core Qualifications

·       4+ years of working experience as a data scientist in the tech industry

·       Ph.D. or M.S. degree in Statistics, Economics, Mathematics, Machine Learning, Operations Research, or other quantitative fields, or equivalent industry experience

·       Knowledge of underlying mathematical foundations of statistics, machine learning, optimization, economics, and analytics

·       Advanced knowledge and experience in time-series forecasting, anomaly detection and building ML models in production

·       Expert level ability to use Python and Apache Spark to work efficiently at scale with large data sets

·       Proficiency in languages, technologies and tools like R, SQL

Preferred Qualifications

·       Expertise with BI tools such as Tableau

·       Exposure to the infrastructure domain, particularly capacity engineering

·       Exposure to financial analysis

Language:

English  

Work Location:

Remote but worker must be in the US

Professional, Quiet Home Office

Benefits

401(k)