Chief Analytics Officer

2 weeks ago

Aurangabad, Maharashtra, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Job Title: Senior Data Scientist

Location: Hyderabad, India

Job Type: Full-time

Job Description:

We are seeking a highly skilled data scientist 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.

  • 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.

Key Responsibilities:

Model Development

Develop data-driven solutions to drive business growth and improvement.

  1. Build, train, and deploy machine learning models to optimize business outcomes.
  2. Design and implement data pipelines to support real-time analytics and insights.
  3. Collaborate with cross-functional teams to integrate models into business workflows.
Deep QA Model Validation

Ensure the quality and accuracy of machine learning models.

  1. Validate existing models applying end-to-end QA checks before sign-off.
  2. Evaluate model predictions, performance metrics, drift monitoring, downstream outputs, and GUI integration.
  3. Document all findings, anomalies, and improvement opportunities.

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.
  • Strong communication skills to convey complex insights to both technical and business stakeholders.

Why Join 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.

About Us

We provide innovative technology solutions for everyday business problems. Our passion is to help clients become intelligent, information-driven organizations.

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