Senior Analytics Specialist

1 week ago

Kurnool, Andhra Pradesh, India beBeeDataScience Full time ₹ 18,00,000 - ₹ 24,00,000
Data Science Expert

We are seeking a highly skilled professional to leverage advanced analytics and machine learning to drive data-driven decision-making.

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 strategies.

You will be responsible for designing, building, and deploying machine learning models for segmentation, predictive analytics, prospect identification, targeting, personalization, Churn prediction & retention, campaign performance, and other business use cases.

This role requires blending analytical rigor with innovative model building and maintenance to ensure operational excellence and strategic growth.

Key Responsibilities:

  • Design, build, and deploy machine learning models for various business use cases.
  • Contribute to building models for Revenue Management System, Customer 360, etc.
  • Apply statistical analysis and data visualization techniques to generate insights and communicate effectively to stakeholders.
  • Translate model insights into actionable strategies that enhance ROI and customer experience.
  • Collaborate with cross-functional teams to operationalize models into platforms and workflows.
  • Establish monitoring, retraining, and governance processes to ensure sustained model accuracy and business value.

Deep 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:

  • Masters degree in Data Science, Statistics, Computer Science, or related field.
  • 4-6 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.

About Us

We provide 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 leading to better processes and outcomes.

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