Yorkshire Global Solutions Inc.

Senior Data Scientist – Recommendation Systems

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist – Recommendation Systems on a W2 contract, remote (ideally in Miami, Florida), with a pay rate of "unknown." Requires 5+ years in Data Science, expertise in ML, Python, and big data technologies.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 13, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Big Data #Azure #Python #Spark (Apache Spark) #GCP (Google Cloud Platform) #Databricks #Cloud #ML (Machine Learning) #Deep Learning #Programming #Data Science #Snowflake #AWS (Amazon Web Services)
Role description
Hi, This is Prashant, Lead Recruiter at Yorkshire Global Solutions Inc. I came across your profile on a job board and wanted to reach out to discuss a potential opportunity that aligns with your background and experience. Please read full job decription carefully Once you applied Ping Me on - https://www.linkedin.com/in/usaprashantrathore/ Note: This is a W2 role Only (No chance for 1099/C2C) Title- Senior Data Scientist – Recommendation Systems :: (W2 Only) Location- Remote (Ideally in Miami, Florida) Job Type - Contract JD: • They must have someone with proven experience building recommendation engines • Hands-on experience with real-time inference • Deep understanding of Databricks architecture • Comfortable operating in an immature but rapidly evolving environment • Ability to design solutions, not wait for instructions • The data scientist is expected to be technically self-sufficient for their domain • Influence how the business thinks about ML and is comfortable pushing back when needed • 5+ years of experience in Data Science, with a strong focus on personalization and recommendation systems. • Expertise in machine learning, deep learning, and statistical modeling. • Strong programming skills in Python. • Experience with big data technologies such as Spark, Databricks, Snowflake or similar. • Familiarity with cloud platforms like AWS, GCP, or Azure. • Experience in deploying machine learning models at scale using MLOps best practices.