InterEx Group

Sr Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr Data Scientist with over 2 years of experience in applied machine learning, requiring a Master’s or Bachelor's in a quantitative field. The contract lasts more than 6 months, with a focus on Python, R, and Azure ML.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
376
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🗓️ - Date
March 17, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
New York, United States
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🧠 - Skills detailed
#Classification #Unsupervised Learning #Time Series #Regression #Data Science #Computer Science #ML (Machine Learning) #Supervised Learning #Statistics #REST (Representational State Transfer) #R #Python #Azure
Role 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.