InterEx Group
Overview
My client is a Global Sports Brand, with over 73,000 employees and just shy of $47 Billion in revenue for 2022.
The data & analytics department is a strategic focal point for the company, and they are currently searching for one Senior Data Scientist to drive the team and support their organization’s goals for the rest of 2022 and 2023.
Responsibilities
Run and prioritize multiple tracks of work, ensuring high‑quality output with on‑time delivery.
Identify and improve the execution of the full Analytics & Data Science team.
Build positive working relationships in cross‑functional teams.
Collaborate with the engineering team to bring analytical prototypes to production.
Develop metrics, conduct statistical analysis, and produce intuitive reporting.
Qualifications
Master’s or Bachelor’s degree in Mathematics, Statistics, Psychology, Economics, Computer Science, or a related quantitative field.
Applied Machine Learning experience (regression analysis, time series, probabilistic models, supervised, classification and/or unsupervised learning).
Strong skills in statistics/machine learning languages and packages such as Python, R, Azure ML.
Minimum 2+ years building Data Scientist models.
#J-18808-Ljbffr
The data & analytics department is a strategic focal point for the company, and they are currently searching for one Senior Data Scientist to drive the team and support their organization’s goals for the rest of 2022 and 2023.
Responsibilities
Run and prioritize multiple tracks of work, ensuring high‑quality output with on‑time delivery.
Identify and improve the execution of the full Analytics & Data Science team.
Build positive working relationships in cross‑functional teams.
Collaborate with the engineering team to bring analytical prototypes to production.
Develop metrics, conduct statistical analysis, and produce intuitive reporting.
Qualifications
Master’s or Bachelor’s degree in Mathematics, Statistics, Psychology, Economics, Computer Science, or a related quantitative field.
Applied Machine Learning experience (regression analysis, time series, probabilistic models, supervised, classification and/or unsupervised learning).
Strong skills in statistics/machine learning languages and packages such as Python, R, Azure ML.
Minimum 2+ years building Data Scientist models.
#J-18808-Ljbffr