Job Description:
Project Lead Experience
Building Data Sets
Presenting to A-C level executives
Must have Cogito experience
AWS Certification is a MUST
Key Responsibilities
- Team Management: Lead and mentor a team of data scientists, machine learning engineers, and big data specialists to foster professional growth and collaboration.
- Project Planning: Oversee the planning and execution of data science projects, ensuring alignment with organizational goals and objectives.
- Model Development: Build and optimize analytical models using machine learning, natural language processing, and statistical techniques to derive insights from large datasets.
- Data Analysis: Analyze various data sources, including procurement, supply chain, and healthcare data, to inform business strategies and product development.
- Problem Solving: Identify and address data development challenges, proposing innovative solutions to enhance data utilization across the organization.
- Methodology Development: Lead the development and maintenance of methodologies that support product offerings, including statistical modeling and time-series analysis.
- Stakeholder Collaboration: Work closely with business leaders and other departments to communicate analytical findings and drive data-driven decision-making.
Required Skills and Qualifications
- Educational Background: Typically requires a Masters or Ph.D. in Statistics, Computer Science, Mathematics, or a related field.
- Technical Expertise: Proficiency in data manipulation, visualization, and machine learning techniques, with experience in programming languages such as Python, R, or SQL.
- Analytical Skills: Strong problem-solving abilities and a knack for statistical analysis to interpret complex data sets effectively.
- Leadership Skills: Experience in managing teams and projects, with the ability to mentor junior data scientists and foster a collaborative environment.
- Communication Skills: Excellent verbal and written communication skills to convey complex analytical concepts to non-technical stakeholders.