Advanced Analytics Specialist

1 week ago

Mysore, Karnataka, India beBeeDataScientist Full time ₹ 17,11,889 - ₹ 25,69,346

Job Title: Senior Data Scientist

 

Location:

Hyderabad, India

Job Type: Full-time

Job Description

We are seeking a highly skilled professional to join our digital transformation team. The ideal candidate will have hands-on experience with model development and a deep understanding of customer data ingestion, real-time data pipelines, and AI-driven marketing strategies. You will be responsible for leveraging advanced analytics and machine learning to enable data-driven decision-making and hyper-personalized marketing at scale.

This role blends analytical rigor with innovative model building and maintenance, ensuring both operational excellence and strategic customer growth.

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

Key Skills and Expertise

  • 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.

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