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 data modeling, applied machine learning, and proficiency in Python and R. The contract lasts more than 6 months, focusing on a global sports brand's data initiatives.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
376
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πŸ—“οΈ - Date discovered
August 28, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
Unknown
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
New York, United States
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🧠 - Skills detailed
#REST (Representational State Transfer) #Data Science #Unsupervised Learning #Computer Science #Supervised Learning #Azure #Statistics #ML (Machine Learning) #Time Series #Classification #R #Python #Regression
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: β€’ Ability to run and prioritise multiple tracks of work, ensuring high-quality output with on-time delivery. β€’ Identify and improve the execution of the full Analytics & Data Science team. β€’ Proven experience building positive working relationships in cross-functional teams. β€’ Collaborate with the engineering team to bring analytical prototypes to production. β€’ Expertise in metric development, statistical analysis, and intuitive reporting. Qualifications: β€’ Master’s or Bachelor's degree in Math, Statistics, Psychology, Economics, Computer Science, or similarly quantitative fields. β€’ Applied Machine Learning experience (regression analysis, time series, probabilistic models, supervised, classification and/or unsupervised learning). β€’ Strong skills in statistics/machine learning languages and packages such as Python, R, Azure ML. β€’ 2+ years Building Data Scientist models.