Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist with a 6-month contract, offering competitive pay. Key skills include Python, SQL, and experience with GCP and Vertex AI. A Bachelor’s or Master’s in computer science/data engineering and 3+ years of relevant experience are required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
440
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🗓️ - Date discovered
August 8, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Washington, DC
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🧠 - Skills detailed
#Datasets #"ETL (Extract #Transform #Load)" #R #Scala #Cloud #SQL (Structured Query Language) #Python #NLP (Natural Language Processing) #Data Pipeline #GCP (Google Cloud Platform) #Databricks #ML (Machine Learning) #Data Enrichment #Computer Science #Data Engineering #Documentation #Data Science #SharePoint #AI (Artificial Intelligence) #Data Processing #Metadata
Role description
Duration: 6 Months with possibly extension
BACKGROUND
• The Bank is seeking a Data Enrichment Specialist to enhance its data assets by designing and implementing a robust data enrichment framework.
• The goal is to transform raw data from SharePoint Online and Databricks SQL Warehouse into high-quality, enriched datasets suitable for use with Google Cloud’s Vertex AI platform, supporting advanced AI/ML applications.
a. Data Source Analysis and Integration
• Analyze existing data sources, including SharePoint Online (documents) and Databricks SQL Warehouse (structured data).
• Design and implement methods for extracting and integrating data from these sources.
b. Data Enrichment Layer Design
• Develop techniques for text extraction, metadata standardization, and semantic enrichment.
• Design a scalable enrichment layer to process and enhance data for downstream AI/ML use.
c. Embedding Data Pipeline Development
• Build and automate ETL/ELT pipelines for embedding data in Vertex AI.
• Apply NLP and data processing techniques to ensure data is suitable for AI/ML models.
• d. Documentation and Collaboration
• Prepare comprehensive technical documentation for all developed processes and pipelines.
• Collaborate with AI/ML teams to ensure enriched data meets project requirements.
1. Skills/Experience Required
• Bachelor’s degree in computer science, data engineering, or related field with 3+ years of experience or Master’s Degree in computer science, data engineering, or related field.
• Proven experience in data engineering and enrichment, especially with unstructured and structured data.
• Proficiency in Python, SQL, and cloud platforms (preferably GCP and Vertex AI).
• Experience with NLP techniques and data processing frameworks.
• Strong problem-solving, communication, and documentation skills.
About US Tech Solutions:
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com.
US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Recruiter Details:
Name: Pooja Rani
Email: pooja.r@ustechsolutionsinc.com
Internal Id: 25-44758
Duration: 6 Months with possibly extension
BACKGROUND
• The Bank is seeking a Data Enrichment Specialist to enhance its data assets by designing and implementing a robust data enrichment framework.
• The goal is to transform raw data from SharePoint Online and Databricks SQL Warehouse into high-quality, enriched datasets suitable for use with Google Cloud’s Vertex AI platform, supporting advanced AI/ML applications.
a. Data Source Analysis and Integration
• Analyze existing data sources, including SharePoint Online (documents) and Databricks SQL Warehouse (structured data).
• Design and implement methods for extracting and integrating data from these sources.
b. Data Enrichment Layer Design
• Develop techniques for text extraction, metadata standardization, and semantic enrichment.
• Design a scalable enrichment layer to process and enhance data for downstream AI/ML use.
c. Embedding Data Pipeline Development
• Build and automate ETL/ELT pipelines for embedding data in Vertex AI.
• Apply NLP and data processing techniques to ensure data is suitable for AI/ML models.
• d. Documentation and Collaboration
• Prepare comprehensive technical documentation for all developed processes and pipelines.
• Collaborate with AI/ML teams to ensure enriched data meets project requirements.
1. Skills/Experience Required
• Bachelor’s degree in computer science, data engineering, or related field with 3+ years of experience or Master’s Degree in computer science, data engineering, or related field.
• Proven experience in data engineering and enrichment, especially with unstructured and structured data.
• Proficiency in Python, SQL, and cloud platforms (preferably GCP and Vertex AI).
• Experience with NLP techniques and data processing frameworks.
• Strong problem-solving, communication, and documentation skills.
About US Tech Solutions:
US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit www.ustechsolutions.com.
US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Recruiter Details:
Name: Pooja Rani
Email: pooja.r@ustechsolutionsinc.com
Internal Id: 25-44758
