
Data Strategist
2 weeks ago
We seek a Lead Data Insights Specialist to drive our data-driven transformation. The ideal candidate will have hands-on experience with advanced statistical modeling, machine learning algorithms, and big data analytics.
Key Responsibilities- Design, develop, and deploy predictive models for customer segmentation, retention, and campaign optimization.
- Collaborate with cross-functional teams to integrate data insights into business decision-making processes.
- Apply statistical analysis and data visualization techniques to communicate complex insights effectively to stakeholders.
- Establish monitoring and retraining processes to ensure sustained model accuracy and business value.
- Validate existing models using end-to-end quality assurance checks before deployment.
- 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.
- Master's degree in statistics, computer science, or related field.
- 4-6 years of experience in data science, machine learning, and advanced analytics.
- Proven expertise in Python, SQL, and ML frameworks (scikit-learn, TensorFlow).
- 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 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 technologies.
- Collaborate with a dynamic and talented team of data professionals.
- Grow your leadership skills through hands-on project ownership and mentorship.
- Competitive compensation and continuous learning culture.
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