Data Science Specialist

Senior Professional Data Science (Hybrid)

Location:

Experience:

Notice Period:

Work Mode:

Target CTC:

About the Role

Data Science Professional

Key Responsibilities

• Diagnose model performance issues; research, test, and implement alternative approaches; prepare supporting analyses; and deploy improved solutions.
• Conduct complex statistical analyses on real estate, mortgage, and insurance-related datasets.
• Apply machine learning and data mining techniques to identify patterns from large and complex data sources.
• Build forecasts and predictive models based on economic, behavioral, and other relevant factors.
• Prepare, maintain, and document programs, modeling scripts, and analytical processes.
• Perform modeling and analysis using various data mining, machine learning, statistical, and mathematical methodologies.
• Drive the re-engineering and enhancement of current production models and prototype solutions as needed.
• Lead and independently manage quantitative and qualitative research projects end-to-end.
• Assess, interpret, and communicate research findings to internal stakeholders.
• Understand business requirements and conceptualize analytical solutions tailored to address those needs.
• Collaborate regularly with cross-functional teams to research, define, and implement scalable analytic solutions across the organization.
• Troubleshoot a wide range of complex analytical and modeling problems and drive them to resolution.
• Research and evaluate emerging GenAI best practices, and apply relevant solutions to new or evolving business challenges.

Required Qualifications

• Bachelor's or Master's degree in Economics, Mathematics, Computer Science, Data Science, Machine Learning, Statistics, Physics, or a related field.
• Minimum of 5 years of industry or academic experience applying AI/ML techniques, data mining, statistical modeling, and/or pattern recognition on real-world problems.
• Experience or familiarity with

  network analysis

  and

  graph theory

  is a plus.
• Hands-on experience building and maintaining models in a

  cloud environment

  .
• Proficiency in at least one of the following programming languages:

  Python, Java, R, C++, Scala

  .
• Strong big data expertise with tools such as

  Spark, Hadoop, Hive

  , etc.
• Experience integrating

  Generative AI (GenAI)

  into production environments is a plus.
• Strong team player; willing to assist and jump into projects at any stage as needed.
• Detail-oriented with strong presentation skills and prior experience interacting with clients.
• Ability to communicate effectively and professionally with key stakeholders, and explain business requirements to technical teams.
• Strong interpersonal and communication skills, both verbal and written.
• Ability to manage

  multiple complex projects

  simultaneously.
• Capable of effectively presenting analytical insights and modeling techniques to internal and external audiences.

Who Should Apply

? Data Scientists looking to move beyond pure ML into business impact

? Professionals comfortable working hybrid in Bengaluru

? Builders who enjoy experimentation and new use case exploration

? Candidates prepared to join within 3045 days (max 60)

Note

Hybrid role

Compensation capped at ?25 LPA.