Chief Analytics Leader

1 week ago

Pushkar, Rajasthan, India beBeeDataScientist Full time ₹ 90,00,000 - ₹ 1,50,00,000
Senior Data Scientist Role

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

We seek a highly skilled Senior Data Scientist to join our 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.

Key Responsibilities:

  • 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 Skills and 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 Work with Us:

  • Work on modern data architecture at scale using cutting-edge 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.
Key Skills:

Python, SQL, scikit-learn, TensorFlow, PyTorch, QA, drift monitoring, big data, Databricks, Spark, Snowflake, AWS, Azure, GCP, data science, statistics, computer science, model validation, applied machine learning, data visualization, communication, leadership, detail-oriented

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