
Senior Data Strategist
1 day ago
Our team is seeking a highly skilled Senior Data Analyst to drive data-driven decision making and business growth through advanced analytics and machine learning.
Key Responsibilities:
- Design, develop, and deploy statistical models for segmentation, predictive analytics, prospect identification, targeting, personalization, Churn prediction & retention, campaign performance, and other business use cases.
- 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.
- 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.
- Contribute to building models for various use cases such as Revenue Management System, Customer 360, etc.
Required Skills:
- Master's degree in statistics, computer science, or related field.
- 4-6 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.
- 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 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 and continuous learning culture.
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