Key Responsibilities:

• Lead and manage the data science team, providing guidance and mentorship to junior data scientists.
• Define the data science strategy and roadmap in alignment with the company’s business goals.
• Oversee the development and deployment of machine learning models and analytics solutions.
• Collaborate with cross-functional teams (e.g., engineering, product, business) to understand data needs and create actionable insights.
• Evaluate and implement state-of-the-art data science tools, technologies, and frameworks.
• Promote data-driven decision-making across the organization by translating complex analytical results into actionable business recommendations.
• Ensure the quality and integrity of data used for analysis and modeling.
• Stay up-to-date with the latest trends, methodologies, and best practices in data science and AI.
• Build strong relationships with stakeholders to ensure data science initiatives align with business objectives.

Qualifications:

• Master’s or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Proven experience in data science, including leadership roles in managing teams and projects.
• Expertise in machine learning, deep learning, and advanced statistical analysis.
• Strong proficiency in programming languages such as Python, R, and SQL.
• Experience with data manipulation, visualization, and analysis tools (e.g., Pandas, NumPy, Matplotlib, Tableau).
• In-depth knowledge of big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Google Cloud, Azure).
• Strong problem-solving, strategic thinking, and decision-making skills.
• Excellent communication skills to present complex data findings to both technical and non-technical stakeholders.
• Demonstrated ability to build and lead high-performance teams.

Preferred Skills:

• Familiarity with AI-driven analytics, natural language processing (NLP), or computer vision.
• Experience with Agile methodologies and project management.
• Background in business strategy or the ability to collaborate closely with business leaders to drive insights.
• Any relevant certifications in machine learning, AI, or data science leadership are a plus.

Salary and Benefits:

• Opportunities for career advancement and professional development in data science leadership.
• Flexible working hours with options for remote work.
• Comprehensive health insurance, paid vacation, and other employee benefits.
• Access to training programs, conferences, and a supportive work environment for continuous learning.