Senior Data Scientist (Level III) 4P/647
Role details
Job location
Tech stack
Job description
We are seeking a highly experienced Senior Data Scientist (Level III) to lead advanced analytics and machine learning initiatives that drive strategic business decisions., * Develop and deploy sophisticated ML models including:
- Deep learning
- Ensemble methods
- Neural networks
- Lead algorithm development and model optimization.
- Oversee model deployment into production environments.
Feature Engineering & Data Preparation
- Lead feature engineering efforts to enhance predictive performance.
- Work closely with data engineering teams to integrate data from:
- Data lakes
- Data warehouses
- Distributed systems
Visualization & Communication
- Build compelling visualizations using:
- Tableau
- Power BI
- Python libraries (Matplotlib, Seaborn, etc.)
- Present complex analytical findings to technical and executive audiences.
Experimentation & Testing
- Design and analyze A/B tests.
- Measure and quantify business impact of changes and optimizations.
Data Governance & Ethics
- Ensure compliance with privacy laws and data protection standards.
- Promote ethical AI and responsible data practices.
Leadership & Strategy
- Mentor junior data scientists.
- Influence organizational data strategy and roadmap.
- Drive a data-driven culture across business units.
- Evaluate emerging tools and technologies for innovation opportunities.
Requirements
Do you have experience in Statistical modeling?, Do you have a Master's degree?, Education: Master's or Ph.D. Preferred (Quantitative Field), This role requires deep expertise in statistical modeling, predictive analytics, and big data technologies, along with strong leadership capabilities. The ideal candidate has a proven track record of delivering impactful data science solutions and shaping enterprise-level data strategies., * 10-15 years of experience in data science.
- Master's or Ph.D. in:
- Computer Science
- Statistics
- Mathematics
- Engineering
- Related quantitative field
- Expert proficiency in:
- Python, R, or Julia
- SQL
- Strong experience with:
- Machine learning algorithms
- Big data technologies (Hadoop, Spark)
- Distributed computing frameworks
- Experience with data visualization tools (Tableau, Power BI).
- Strong leadership and communication skills.
- Demonstrated ability to drive enterprise-level analytics initiatives.
Technical Expertise
- Machine Learning & AI
- Statistical Modeling
- Feature Engineering
- A/B Testing
- Big Data Technologies
- SQL & Data Manipulation
- Model Deployment (MLOps familiarity preferred)
- Data Governance & Compliance
Core Competencies
- Strategic thinking
- Innovation mindset
- Cross-functional collaboration
- Executive-level communication
- Mentorship and leadership
- Advanced problem-solving abilities