Senior Data Scientist

New York, United States

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Title: Senior Data Scientist

Experience: 10-15 years

Location: NYC, NY

Work Mode: Hybrid

Must Have skills: ML, AI, LLM, NLP (Preferably from HealthCare Background)


Required Skills:

  • Proficiency in Python and ML/AI Libraries.
  • Good experience in LLM, NLP and Computer Vision specialization.
  • Familiar and hands-on with industry-leading AI/ML tools and architecture.
  • Should have experience integrating or working with Snowflake hosted in AWS.
  • Hands-on MLOps setups and executing.

Responsibilities:

  • Data Analysis: Collect, clean, and pre-process data from various sources to build datasets for analysis.
  • Machine Learning: Develop and implement machine learning algorithms and models for predictive and prescriptive analytics.
  • Statistical Analysis: Apply statistical techniques to interpret data, test hypotheses, and identify trends.
  • Data Visualization: Create compelling data visualizations and reports to communicate findings to non-technical stakeholders.
  • Feature Engineering: Identify and engineer relevant features for machine learning models.
  • Model Evaluation: Evaluate model performance, make improvements, and iterate on model development.
  • Data Insights: Provide actionable insights and recommendations based on data analysis.
  • Collaboration: Collaborate with cross-functional teams to integrate data-driven solutions into business processes.


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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Data Science Jobs

Tags: Architecture AWS Computer Vision Data analysis Data visualization Engineering Feature engineering LLMs Machine Learning ML models MLOps NLP Python Snowflake Statistics

Region: North America
Country: United States

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