Data Scientist

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with 5+ years of experience, focusing on Databricks and PySpark. It’s a remote W2 contract position, requiring strong skills in data engineering, machine learning, and SQL. Certifications in data science are preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 30, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Remote
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#PySpark #PyTorch #Python #Azure #ML (Machine Learning) #Spark SQL #TensorFlow #SQL (Structured Query Language) #Spark (Apache Spark) #Data Cleansing #R #Libraries #Deployment #Agile #Data Science #Databricks #Data Engineering #Cloud
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Innorev Technologies, Inc, is seeking the following. Apply via Dice today! Role: Data Scientist Remote Role W2 Contract Position JD: The Data Scientist - Databricks/PySpark will play a critical role in driving business growth and improving operational efficiency by developing and deploying data-driven solutions using Databricks, PySpark, and other related technologies. Ideal Candidate Background: 5+ years of experience in data science or a related field. Past Optum exp is preferred. Strong background in data engineering (Databricks, PySpark, SQL). Experience with machine learning (Python, R, TensorFlow, PyTorch). Required Skills/Attributes: 3+ years of experience with Databricks and PySpark. 2+ years of experience with Python and related libraries (e.g., Scikit-learn, TensorFlow). 2+ years of experience with SQL and data warehousing. Strong understanding of data cleansing and feature engineering techniques. Experience with machine learning model development and deployment. Excellent communication and collaboration skills. Preferred Skills/Attributes: Experience with cloud-based data platforms (Azure). Experience with Agile development methodologies. Certification in data science or a related field (e.g., Certified Data Scientist). Professional License or Certification: Not required, but certifications like Certified Data Scientist or Certified Analytics Professional are a plus.