Lead Data Scientist

21 hours ago

Bengaluru, Karnataka, India Angel One Full time US$ 1,50,000 - US$ 2,00,000 per year

Job Title: Lead Data Scientist

Location: Belandur, Bengaluru

About the Role:

We are looking for a Lead Data Scientist to join Angel One Limited, one of Indias top fintech companies. In this role, you will design and deploy advanced ML/DL models, build scalable data pipelines, and deliver actionable insights to drive business impact. You will lead and mentor a team of data scientists, collaborate with cross-functional stakeholders, and work on cutting-edge AI/ML projects in a fast-paced, innovation-driven environment.

Key Responsibilities:

  • Lead the development of machine learning models and algorithms to solve complex business problems.
  • Analyze large and complex data sets to identify trends, patterns, and insights.
  • Collaborate with engineering teams to deploy data science solutions into production environments.
  • Design and implement data pipelines to ensure the availability and quality of data for analysis.
  • Work with business stakeholders to understand their requirements and translate them into data science solutions.
  • Conduct exploratory data analysis, feature engineering, and model evaluation.
  • Communicate findings and insights effectively to both technical and non-technical audiences.
  • Stay updated with the latest industry trends and technologies in data science and machine learning.
  • Mentor and guide junior data scientists and analysts.

Qualifications:

  • Master's or Ph.D. degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
  • 8+ years of experience in data science, machine learning, or a related field.
  • Strong programming skills in Python or R, with experience in data manipulation and analysis using libraries such as pandas, NumPy, scikit-learn, TensorFlow, or PyTorch.
  • Proficiency in SQL and experience with database management systems.
  • Proven experience in building and deploying machine learning models in production.
  • Strong understanding of statistical analysis, hypothesis testing, and data modeling techniques.
  • Experience with big data technologies such as Hadoop, Spark, or similar.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication skills, with the ability to explain complex technical concepts to a non-technical audience.
  • Experience with data visualization tools such as Tableau, Power BI, or similar.

Preferred Qualifications:

  • Experience in the [specific industry, e.g., finance, healthcare, e-commerce, etc.].
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Familiarity with deep learning techniques and frameworks.
  • Experience with natural language processing (NLP) or computer vision is a plus.

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