

Sr Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr Data Scientist with a contract length of over 6 months, offering a competitive pay rate. Key skills required include expertise in Python, R, and Azure ML, along with 2+ years of applied Machine Learning experience.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
376
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ποΈ - Date discovered
June 3, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Unknown
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
New York, United States
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π§ - Skills detailed
#Classification #Computer Science #R #ML (Machine Learning) #Azure #Data Science #Python #Time Series #Unsupervised Learning #Statistics #Supervised Learning #REST (Representational State Transfer) #Regression
Role description
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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’ Masterβs 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.