Data Science Specialist

5 - 7 years

0 Lacs

Posted:1 day ago| Platform: Foundit logo

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Work Mode

On-site

Job Type

Full Time

Job Description

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.

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