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Senior Data Scientist

Job in Cary, Wake County, North Carolina, 27518, USA
Listing for: hackajob
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

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 (Big Query, 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.

* This role requires you to be based in the US*

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Position Requirements
10+ Years work experience
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