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Senior Data Scientist

  • Job type Posted on: Jul 20, 2026
  • Experience level Apolis
  • Employment type New York, New York
  • Employment type Onsite
  • Salary Full-time

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Job Title :

Senior Data Scientist

Job Type :

Full-time

Job Location :

New York New York United States

Remote :

No

Jobcon Logo Job Description :

Senior Data Scientist Location: New York, NY (Hybrid) Job Summary We are seeking a Senior Data Scientist with expertise in predictive analytics, machine learning, and time-series forecasting to develop data-driven solutions that support business decision-making. Responsibilities Build predictive and forecasting models. Develop anomaly detection and recommendation models. Perform feature engineering, model validation, and statistical analysis. Analyze complex datasets to identify trends and insights. Collaborate with stakeholders to define business metrics. Present findings and recommendations to leadership. Required Skills Python (Pandas, Scikit-learn) Time-series forecasting and predictive modeling Feature engineering and statistical analysis SQL and Snowflake Azure Machine Learning GitHub Preferred Skills Prophet or similar forecasting libraries PyTorch Resource/capacity planning analytics Utility or regulated industry experience Survival analysis and duration modeling Qualifications Bachelor's or Master's degree in a related field. Strong experience in data science, machine learning, and predictive analytics.

Jobcon Logo Position Details

Posted:

Jul 20, 2026

Reference Number:

14660_A4047602580EAD19739EF1DA85C23751

Employment:

Full-time

Salary:

Not Available

City:

New York

Job Origin:

APPCAST_CPC

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Senior Data Scientist Location: New York, NY (Hybrid) Job Summary We are seeking a Senior Data Scientist with expertise in predictive analytics, machine learning, and time-series forecasting to develop data-driven solutions that support business decision-making. Responsibilities Build predictive and forecasting models. Develop anomaly detection and recommendation models. Perform feature engineering, model validation, and statistical analysis. Analyze complex datasets to identify trends and insights. Collaborate with stakeholders to define business metrics. Present findings and recommendations to leadership. Required Skills Python (Pandas, Scikit-learn) Time-series forecasting and predictive modeling Feature engineering and statistical analysis SQL and Snowflake Azure Machine Learning GitHub Preferred Skills Prophet or similar forecasting libraries PyTorch Resource/capacity planning analytics Utility or regulated industry experience Survival analysis and duration modeling Qualifications Bachelor's or Master's degree in a related field. Strong experience in data science, machine learning, and predictive analytics.

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