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C2C : Sr. DATA Scientist; L3 Sunnyvale CA; ONSITE

Job in Sunnyvale, Santa Clara County, California, 94087, USA
Listing for: US staffing Inc
Full Time position
Listed on 2026-06-17
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Data Scientist, Data Analyst, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: C2C Hiring : Sr. DATA SCIENTIST (L3 ) : Sunnyvale CA (ONSITE

Role: DATA SCIENTIST (L3) WIPRO USA: ONSITE ROLE

WORK Location:

Sunnyvale CA DATA SCIENTIST DATA SCIENCE - L3

We are seeking a skilled senior Data Scientist to join our dynamic team. In this role, you will be instrumental in analyzing large datasets, developing predictive models, and deploying machine learning solutions. The ideal candidate will leverage expertise in Python to drive data-driven decision-making and contribute to organizational success.

Key Responsibilities
  • Conduct in-depth exploratory data analysis to extract actionable insights and support strategic initiatives.
  • Design, build, and validate machine learning models to address business challenges.
  • Utilize Python for data processing, statistical analysis, and model development.
  • Manage the end-to-end lifecycle of machine learning models, including deployment, monitoring, and maintenance using MLOps practices.
  • Collaborate with cross-functional teams to define project requirements and deliver robust data science solutions.
Qualifications and Skills
  • Strong grasp of Data Science/Machine Learning concepts and methodologies with solid statistical knowledge.
  • Proficiency in Python and its data science libraries (e.g., Pandas, Num Py, Scikit-learn).
  • Hands-on experience with data analysis and statistical model development techniques.
  • Experience in building Predictive Modelling, Unsupervised Modelling, Time Series Forecasting models.
  • Knowledge in Bayesian Modelling will be an added advantage.
  • MLOps skills to deploy and maintain machine learning models.
  • Strong problem-solving skills and ability to communicate complex findings to both technical and non-technical audiences.
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