hackajob
Senior Data Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Scientist in Cary, NC, with a contract length of unspecified duration, offering $55 to $68 per hour. Requires a Master's or Ph.D., 10+ years of experience, strong Python skills, and expertise in GCP.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
544
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🗓️ - Date
February 18, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Cary, NC
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🧠 - Skills detailed
#Programming #BigQuery #Dataflow #ML (Machine Learning) #Python #Azure #AWS (Amazon Web Services) #Data Science #Computer Science #GCP (Google Cloud Platform) #Mathematics #AI (Artificial Intelligence) #Statistics #Recommender Systems #Deployment #Cloud #"ETL (Extract #Transform #Load)"
Role description
hackajob has partnered with a global technology and management consultancy, specializing in driving transformation across the financial services and energy industries, and we're looking for a Senior Data Scientist to implement cutting-edge data science solutions, leveraging their expertise to tackle complex business challenges and contribute to development and delivery targets!
Role: Senior Data Scientist
Location: Cary, NC. (Fully on-site position)
Rates: $68 to $55, depending on the type of contract (1099 or W2). This role IS NOT available on a C2C basis.
Work Authorization: This role requires you to be legally authorized to work in the U.S. without sponsorship.
Qualifications:
• Master's degree or Ph.D. in Computer Science, Statistics, Mathematics, or related field.
• 10+ years of experience in data science, analytics, or related field.
• Proven track record of developing and deploying data science solutions that have delivered tangible business impact.
• Strong programming skills in Python.
• Expertise in cloud computing platforms, with a strong preference for GCP (BigQuery, Dataflow, Dataproc, AI Platform). Experience with other cloud platforms (AWS, Azure) considered.
Responsibilities:
Data Science Execution:
• Deliver data science projects aligned with business objectives.
• Plan and implement key data science initiatives promptly.
• Implement parts or the entire data science lifecycle, from data collection and preprocessing to model development, deployment, and evaluation.
Technical Expertise:
• Build and deploy predictive models, recommender systems, and other data-driven solutions.
Communication and Collaboration:
• Effectively communicate complex technical concepts to both technical and non-technical audiences.
• Collaborate with cross-functional teams, including product management, engineering, and business stakeholders, to translate business requirements into data science solutions.
• Present findings and recommendations to managers.
Innovation and Research:
• Stay abreast of the latest advancements in data science and machine learning.
• Explore and evaluate new technologies and methodologies to improve effectiveness and drive innovation.
hackajob is a recruitment platform that will match you with relevant roles based on your preferences, and in order to be matched with the roles, you need to create an account with us.
• This role requires you to be based in the US
•
hackajob has partnered with a global technology and management consultancy, specializing in driving transformation across the financial services and energy industries, and we're looking for a Senior Data Scientist to implement cutting-edge data science solutions, leveraging their expertise to tackle complex business challenges and contribute to development and delivery targets!
Role: Senior Data Scientist
Location: Cary, NC. (Fully on-site position)
Rates: $68 to $55, depending on the type of contract (1099 or W2). This role IS NOT available on a C2C basis.
Work Authorization: This role requires you to be legally authorized to work in the U.S. without sponsorship.
Qualifications:
• Master's degree or Ph.D. in Computer Science, Statistics, Mathematics, or related field.
• 10+ years of experience in data science, analytics, or related field.
• Proven track record of developing and deploying data science solutions that have delivered tangible business impact.
• Strong programming skills in Python.
• Expertise in cloud computing platforms, with a strong preference for GCP (BigQuery, Dataflow, Dataproc, AI Platform). Experience with other cloud platforms (AWS, Azure) considered.
Responsibilities:
Data Science Execution:
• Deliver data science projects aligned with business objectives.
• Plan and implement key data science initiatives promptly.
• Implement parts or the entire data science lifecycle, from data collection and preprocessing to model development, deployment, and evaluation.
Technical Expertise:
• Build and deploy predictive models, recommender systems, and other data-driven solutions.
Communication and Collaboration:
• Effectively communicate complex technical concepts to both technical and non-technical audiences.
• Collaborate with cross-functional teams, including product management, engineering, and business stakeholders, to translate business requirements into data science solutions.
• Present findings and recommendations to managers.
Innovation and Research:
• Stay abreast of the latest advancements in data science and machine learning.
• Explore and evaluate new technologies and methodologies to improve effectiveness and drive innovation.
hackajob is a recruitment platform that will match you with relevant roles based on your preferences, and in order to be matched with the roles, you need to create an account with us.
• This role requires you to be based in the US
•
