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Data Scientist

  • Full Time, onsite
  • KEZAN INDIA PRIVATE LIMITED
  • Hybrid, United States of America
Salary undisclosed

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Data Scientist

New York (Onsite)

Duration: Long term

Skills: Proficiency in Python for data analysis and visualization, Data Science, NLP, Generative AI, and LLMs., statistical and machine learning models

Must have:

  • :Bachelor's or Master's degree in a quantitative field.
  • Proven experience in data analysis, statistical modeling, and machine learning techniques.
  • Proficiency in Python for data analysis and visualization, along with experience in working with APIs, Linux OS, databases, big data technologies, and cloud services.
  • Strong understanding and experience with NLP, Generative AI, and LLMs.
  • Excellent communication skills, with the ability to convey complex findings to both technical and non-technical stakeholders.
  • Experience in business analysis and working in an Agile framework.
  • Prior experience in the financial industry is preferred.

Job Summary

We are seeking a highly skilled and motivated Senior Data Scientist to join our team. As a Data Scientist, you will play a crucial role in analyzing complex data using statistical and machine learning models, providing valuable insights, and driving data-driven decision-making processes. The ideal candidate will have a strong background in mathematics, statistics, and machine learning, along with proficiency in Python data analysis and visualization, API ecosystem, Linux OS, structured and non-structured databases, big data technologies (Databricks, Spark), and cloud services.

Responsibilities:

Analyze complex data using statistical and machine learning models to derive actionable insights.

Utilize Python for data analysis, visualization, and working with APIs, Linux OS, databases, big data technologies, and cloud services.

Develop innovative solutions for natural language processing and generative modeling tasks using NLP, Generative AI, and LLMs.

Collaborate with cross-functional teams to understand business requirements and translate them into data science solutions.

Communicate findings and insights effectively to stakeholders. Apply strong communication skills and experience in business analysis.

Work in an Agile framework, participating in sprint planning, daily stand-ups, and retrospectives.

Requirements:

Bachelor's or Master's degree in a quantitative field.

Proven experience in data analysis, statistical modeling, and machine learning techniques.

Proficiency in Python for data analysis and visualization, along with experience in working with APIs, Linux OS, databases, big data technologies, and cloud services.

Strong understanding and experience with NLP, Generative AI, and LLMs.

Excellent communication skills, with the ability to convey complex findings to both technical and non-technical stakeholders.

Experience in business analysis and working in an Agile framework.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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