Data Transformation Lead

Job Title: Senior Data Scientist

We are seeking a highly skilled professional to lead our data-driven transformation initiative.

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:

• 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.

Requirements:

• 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 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

We provide 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. We combine strategic consulting services with growth-enabling technologies to evaluate risk, manage data, and leverage AI and automated processes more effectively.