Senior Data Scientist - Time Series Forecasting and Modeling

May 31, 2024

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xcelForce

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xcelForce is a strategic talent partner specializing in flexible staffing solutions to help organizations build high-performing teams. They prioritize understanding the unique needs of employers and custom-match skilled professionals to drive business results. With a focus on technology, finance, and government sectors, xcelForce offers services like direct hire, contract-to-hire, and flexible staffing, ensuring that companies can scale their workforce efficiently without long-term commitments.

User Research • Advanced Analytics • Technology Development • Product and Services Strategy • Artificial Intelligence

51 - 200 employees

🤝 B2B

👥 HR Tech

🎯 Recruitment

📋 Description

• This is a remote position. • 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. • 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.

🎯 Requirements

• 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

🏖️ Benefits

• 401(k) • Dental insurance • Health insurance • Paid time off • Tuition reimbursement • Vision insurance