
Senior Data Intelligence Leader
2 weeks ago
At the forefront of our digital transformation lies a crucial position, that of Senior Data Scientist. We seek an individual with hands-on expertise in model development and an unparalleled understanding of customer data ingestion, real-time data pipelines, and AI-driven marketing strategies.
This role embodies the fusion of analytical rigor and innovative model building, ensuring both operational excellence and strategic customer growth.
- 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.
- 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.
- 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.
Our mission is to empower companies with innovative technology solutions that drive meaningful change. With deep roots in strategic consulting and a passion for growth-enabling technologies, we help clients become intelligent, information-driven organizations where fact-based decision-making thrives.
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