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Posted 18 May, 2026

Data Scientist - Bangalore

Diverse Lynx
Bangalore,Karnataka Full Time
Reference: 365_569689_25-04842

Hiring for Data Scientist - Bangalore

About the Role: We are seeking a talented and detail-oriented Data Scientist to join our growing team. In this role, you will analyze large datasets, develop predictive models, and collaborate across departments to drive data-informed decision-making. You will play a key role in shaping product strategies, customer experiences, and operational efficiencies through data insights.


Responsibilities:

  • Collect, clean, and preprocess structured and unstructured data from various sources.

  • Develop and deploy machine learning models and algorithms for predictive and prescriptive analytics.

  • Create dashboards and visualizations to communicate findings to stakeholders.

  • Collaborate with cross-functional teams (engineering, product, marketing, finance) to understand business needs and translate them into analytical solutions.

  • Conduct A/B testing and statistical analysis to evaluate model performance and business outcomes.

  • Identify data trends, patterns, and opportunities for improvement and automation.

  • Document processes, models, and data pipelines to ensure reproducibility and transparency.


Required Qualifications:

  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

  • Proficiency in programming languages such as Python or R.

  • Strong knowledge of SQL and experience working with relational databases.

  • Hands-on experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).

  • Familiarity with data visualization tools like Tableau, Power BI, or Plotly.

  • Solid understanding of statistical methods, experimental design, and data modeling.

  • Excellent problem-solving and communication skills.


Preferred Qualifications:

  • Experience with cloud platforms (e.g., AWS, GCP, Azure).

  • Knowledge of big data tools (e.g., Spark, Hadoop).

  • Background in a specific industry (e.g., fintech, healthcare, e-commerce) is a plus.

  • Experience in MLOps and model deployment in production environments.

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