TSR Consulting Services, Inc.

Senior Data Scientist- W2 Only

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Senior Data Scientist (Contract / Hybrid) for 7+ years experienced professionals, offering a pay rate of "X" and requiring expertise in Python, SQL, Databricks, and PySpark, with a focus on modern ML algorithms and dashboarding tools.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
800
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πŸ—“οΈ - Date
October 8, 2025
πŸ•’ - Duration
Unknown
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🏝️ - Location
Hybrid
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Washington DC-Baltimore Area
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🧠 - Skills detailed
#Spark (Apache Spark) #Data Science #Forecasting #BI (Business Intelligence) #Model Optimization #SQL (Structured Query Language) #AI (Artificial Intelligence) #Visualization #Scala #Tableau #Data Processing #Data Pipeline #Python #ML (Machine Learning) #Databricks #PySpark #Libraries #Microsoft Power BI
Role description
Senior Data Scientist (Contract / Hybrid ) We’re seeking a Senior Data Scientist with strong expertise in Python, SQL, and modern machine learning algorithms to support advanced analytics, forecasting, and AI-driven research initiatives. Key Responsibilities: β€’ Conduct research and build reusable data science repositories and libraries. β€’ Develop and implement modern ML/AI algorithms for recommendation sequencing, forecasting, and generative (LLM) applications. β€’ Work with Databricks and PySpark for large-scale data processing and experimentation. β€’ Design dashboards and visualizations to communicate insights across teams. β€’ Collaborate with engineering and product teams to operationalize analytical models and improve business outcomes. Required Skills & Experience: β€’ 7+ Years of experience β€’ Strong proficiency in Python and SQL β€’ Experience with Databricks and PySpark β€’ Proven track record with modern algorithms, forecasting, and recommendation models β€’ Hands-on experience in dashboarding and visualization tools (Power BI, Tableau, etc.) β€’ Exposure to LLMs, model optimization, and scalable data pipelines is a plus