Sr Data Scientist

InterEx Group; New York (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

InterEx Group partners with a Global Sports Brand to appoint a Senior Data Scientist who will lead the Data Science and ML agenda for 2022–2023. You will drive analytics initiatives, build scalable models, and deliver production-ready solutions with clear metrics and reporting.

Collaborating with engineering and cross‑functional teams, you’ll prioritise multiple work streams, translate complex analyses into actionable business insights, and mentor colleagues in quantitative methods and best

Qualifications

• Master’s or Bachelor's degree in a quantitative field.
• Applied machine learning experience (regression, time series, probabilistic models, supervised/unsupervised).
• Strong skills in Python, R, Azure ML.
• 2+ years building data science models.

Responsibilities

• 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

Cross-functional collaboration

Prototyping to production

Education

Master’s or Bachelor’s degree (quantitative)

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.