Sr Data Scientist

InterEx Group; New York (NY); On-site; USD 130,000 - 200,000; Full time

Job summary

InterEx Group's client, a Global Sports Brand, is seeking a Senior Data Scientist in New York to lead the Analytics & Data Science team and drive production-ready ML initiatives.

Responsibilities include prioritizing tracks, building relationships across teams, and delivering high-quality analytics outputs on-time, with strong statistical methods and scalable models.

Qualifications

• Master’s or Bachelor's degree in Math, Statistics, Psychology, Economics, Computer Science, or similarly quantitative fields.
• Applied Machine Learning experience (regression analysis, time series, probabilistic models, supervised, classification and/or unsupervised learning).
• Strong skills in statistics/ml languages and packages such as Python, R, Azure ML.

Responsibilities

• Ability to run and prioritise multiple tracks of work, ensuring high-quality output with on-time delivery.
• Identify and improve the execution of the Analytics & Data Science team.
• Proven experience building positive working relationships in cross-functional teams.
• Collaborate with the engineering team to bring analytical prototypes to production.
• Expertise in metric development, statistical analysis, and intuitive reporting.

Skills

Statistical analysis

Machine learning concepts

Cross-functional collaboration

Education

Master’s or Bachelor's degree in quantitative fields

Tools

Python

R

Azure ML

Job description

My client is a Global Sports Brand, with over 73,000 employees and just shy of $47 Billion in revenue for 2022.

We are currently working closely with their Vice President of Data and Analytics, who has recently joined the business to further grow their Data Science and Machine Learning organisation.

The data & analytics department is currently a strategic focal point for the company, to which they are investing heavily.

Furthermore, they are currently searching for 1 Senior Data Scientist to drive the team and support their organisation's goals for the rest of 2022 and 2023.

Responsibilities

• Ability to run and prioritise multiple tracks of work, ensuring high-quality output with on-time delivery.
• Identify and improve the execution of the full Analytics & Data Science team.
• Proven experience building positive working relationships in cross-functional teams.
• Collaborate with the engineering team to bring analytical prototypes to production.
• Expertise in metric development, statistical analysis, and intuitive reporting.

Qualifications

• Master’s or Bachelor's degree in Math, Statistics, Psychology, Economics, Computer Science, or similarly quantitative fields.
• 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.
• 2+ years Building Data Scientist models.