Senior Data Scientist

- Experience in data science or a related field, with a proven track record of leading and delivering high-impact projects.

- Deep expertise in advanced machine learning techniques, statistical modeling, and AI.

- Strong proficiency in programming languages such as Python, with extensive experience in machine learning libraries and frameworks (e.g., scikit-learn, TensorFlow, PyTorch).

- Advanced skills in SQL and experience with big data technologies.

- Proven experience with MLOps practices and tools for model deployment, monitoring, and optimization.

- Outstanding communication skills, both written and verbal, with the ability to effectively convey

- Model Development & Deployment: Build and implement predictive models and machine learning algorithms to solve business problems and forecast outcomes.

- Advanced Analytics: Design and execute statistical analyses, simulations, and experiments to uncover actionable insights.

- Data Strategy: Lead efforts to collect, clean, and refine data from various sources, ensuring quality and relevance.

- Solution Design: Create data-driven solutions tailored to business needs, optimizing processes and products.

- Cross-functional Collaboration: Work closely with product, engineering, marketing, and operations teams to align data initiatives with business goals.

- Stakeholder Communication: Present complex findings in clear, visual formats to non-technical stakeholders, enabling informed decisions.

- Mentorship: Guide junior data scientists, offering technical support and career development advice