Senior Data Scientist

4 - 6 years

0 Lacs

Posted:4 days ago| Platform: Linkedin logo

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Job Description

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Senior Data Scientist

analytical rigor


Key Responsibilities


Model Development

  • Design, build, and deploy machine learning models for

    segmentation, predictive analytics, prospect identification, targeting, personalization, Churn prediction & retention, campaign performance

    and other business use cases.
  • Contribute to building models for various use cases such as

    Revenue Management System, Customer 360,

    etc.
  • Apply

    statistical analysis

    and

    data visualization

    techniques to generate insights and communicate effectively to business stakeholders.
  • Translate model insights into

    actionable marketing strategies

    that enhance ROI and customer experience.
  • Collaborate with cross-functional teams including Martech, digital, and commercial teams to

    operationalize models into platforms

    and

    workflows

    .
  • Establish

    monitoring, retraining, and governance processes

    to ensure sustained model accuracy and business value.

Deep QA Model Validation

  • Validate existing models applying

    end-to-end QA checks

    before sign-off.
  • Assess

    data ingestion, schema integrity, feature engineering, and label quality

    for business alignment.
  • Evaluate

    model predictions, performance metrics, drift monitoring, downstream outputs, and GUI integration

    .
  • Document all findings, anomalies, and improvement opportunities.
  • Support development of

    dashboards and reports

    to track validation progress, outcomes, and risks.
  • Ensure every module is

    accurate, reliable, and business-aligned

    prior to deployment.


Required Qualifications

  • Master’s degree in data science, Statistics, Computer Science, or related field.
  • 4 to 6 years

    of experience in

    data science, model validation,

    and

    applied machine learning

    .
  • Proven expertise in

    Python, SQL, and ML frameworks

    (scikit-learn, TensorFlow, PyTorch).
  • Experience with

    QA

    and

    drift monitoring frameworks

    for ML models.
  • Familiarity with

    big data platforms and cloud ecosystems

    such as Databricks, Spark, Snowflake/AWS/Azure/GCP.
  • Strong communication skills to convey complex insights to both technical and business stakeholders.
  • Experience leading junior data scientists.
  • Detail-oriented with a structured approach to

    QA, documentation, reporting, and dashboarding

    .


Why Join Us?

  • Work on modern data architecture at scale using cutting-edge Azure technologies.
  • Collaborate with a dynamic and talented team of data professionals.
  • Grow your leadership skills through hands-on project ownership and mentorship.
  • Competitive compensation, flexible work options, and continuous learning culture.


About Us

Logic Pursuits provides companies with innovative technology solutions for everyday business problems. Our passion is to help clients become intelligent, information-driven organizations, where fact-based decision-making is embedded into daily operations, which leads to better processes and outcomes. Our team combines strategic consulting services with growth-enabling technologies to evaluate risk, manage data, and leverage AI and automated processes more effectively. With deep, big four consulting experience in business transformation and efficient processes, Logic Pursuits is a game-changer in any operations strategy.

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