Data Scientist

4 hours ago

Pune, Maharashtra, India NorthStar HR Consultants Full time ₹ 12,00,000 - ₹ 24,00,000 per year

Job Title - Data Scientist

Job Location - Pune

Experience - 3 yrs

Position Overview

Our client is seeking a highly motivated and skilled Data Scientist with a strong academic and professional background. In this role, you will work closely with our data science, engineering, and product teams to develop innovative solutions that enhance our identity security platform offerings. This is an excellent opportunity for someone with a strong technical foundation, a passion for cybersecurity and data-driven problem-solving and a desire to move into the senior Data Scientist / Data Engineering role.

Responsibilities

  • Be at the forefront of AI and ML in Identity security space - build novel and state-of-the-art solutions for solving problems with data in this space.
  • Develop and deploy large scale machine learning models in product for identity activity analysis, anomaly detection, recommender systems and predictive security.
  • Analyze large-scale datasets to extract actionable insights, identify trends and drive improvements in our products and services.
  • Collaborate with cross-functional teams to design, develop, and implement data pipelines and workflows.
  • Learn, build and deploy emerging technologies and frameworks in the field of Generative AI to enable state-of-the-art agents and algorithms to improve the product

Requirements & Skills

  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field from a top-tier institution.
  • 1-3 years of experience in data science or related fields, with a proven track record of delivering impactful solutions.
  • [Mandatory - Programming Skills]
    Strong knowledge of SQL, Python with data science and machine learning libraries
  • [Mandatory - Machine Learning Skills]
    Experience in building unsupervised, semi supervised and supervised models
  • [Good to have]
    Experience in deploying models to a production environment (MLOPs skills)
  • [Good to have]
    Experience working with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
  • Basic understanding of cybersecurity concepts, especially in identity security, is a plus.

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