Data Scientist

We are seeking an experienced Lead Data Scientist to define and execute analytics and machine learning strategies that improve business performance and customer experience. The ideal candidate will lead the development of advanced predictive models, forecasting solutions, recommendation systems, and scalable ML products.

This role requires strong expertise in Python, SQL, Machine Learning, MLOps, Statistical Modeling, Feature Engineering, and Data Analytics. The candidate will partner with engineering and ML Ops teams to ensure successful deployment, monitoring, governance, and lifecycle management of machine learning solutions., * Lead the design, development, and implementation of advanced Machine Learning solutions.

• Develop and optimize:
• Forecasting models
• Predictive analytics models
• Recommendation systems
• Statistical models
• Manage the complete ML lifecycle, including:
• Model development
• Deployment
• Monitoring
• Performance optimization
• Retraining
• Define analytics and ML strategy aligned with business objectives.
• Build scalable data science solutions using large datasets.
• Apply:
• Feature engineering techniques
• Statistical analysis
• Experimentation methods
• Hypothesis testing
• Partner with ML Ops and engineering teams to productionize machine learning models.
• Establish standards for:
• Model quality
• Governance
• Architecture
• Analytical product delivery
• Implement and support MLOps practices, including:
• CI/CD pipelines
• Model monitoring
• Governance processes
• Create data-driven insights and communicate findings through executive-level data storytelling.
• Mentor junior data scientists and provide technical leadership.
• Collaborate with business stakeholders and technology teams.

• Strong experience with:
• Python
• SQL
• R
• Data manipulation and model development
• Extensive experience in:
• Machine Learning
• Predictive Analytics
• Forecasting
• Recommendation Systems
• Statistical Modeling
• Strong knowledge of:
• MLOps
• Feature Engineering
• Model deployment lifecycle
• Model monitoring
• ML governance
• Experience working with:
• Databricks
• Azure DevOps
• Power BI
• Experience handling and analyzing large-scale datasets.
• Strong understanding of experimentation methodologies and statistical techniques., * Bachelor's degree required in:
• Computer Science
• Data Science
• Statistics
• Mathematics
• Related technical field
• Master's degree or PhD preferred.
• 8+ years of experience in:
• Data Science
• Machine Learning
• Advanced Analytics
• 2 3+ years of experience in a leadership or lead data science role.
• Experience delivering enterprise-level analytics solutions.
• Experience with digital analytics platforms and business intelligence tools.

Soft Skills:

• Strong leadership and mentoring skills.
• Excellent communication and stakeholder management abilities.
• Ability to translate complex technical concepts into business insights.
• Strong analytical and problem-solving skills.
• Ability to collaborate effectively with cross-functional teams.
• Strong presentation and data storytelling skills.