Senior Data Scientist

Job Requirement: Sr. Data Science

• Responsible for defining and executing a comprehensive data strategy that aligns with the company's goals, leveraging data to drive business decisions and achieve strategic objectives.
• Lead cross-functional teams to design and implement innovative data-driven products and analytics insights, to deliver measurable impact on business outcomes.

Strategic Leadership and Business Acumen

• Demonstrate strategic leadership skills and an understanding of how data science can drive business success.
• Articulate your vision for your area and align your team’s work with broader organizational goals.
• Identify emerging trends and technologies that can drive value for the business and take steps to incorporate them into your team’s work.

Collaboration and Influence

• Work collaboratively with a wider range of stakeholders, including senior executives, product managers, and engineers.
• Build strong partnerships across the organization, communicate effectively, and influence decision-making.
• Manage relationships with external partners, such as vendors or academic institutions, and represent the organization in industry events and conferences.

Resource Management

As a director, you will have responsibility for managing a larger team of data scientists, analysts, and engineers, as well as budgets and resources.

• Make data-driven decisions about resource allocation, prioritize projects and initiatives, and manage risk effectively.
• Coach and mentor other managers within your team, helping them to develop their skills and grow as leaders.

Strategic Hiring and Talent Development

• Responsible for recruiting and retaining top talent within your organization.
• Work with HR and recruiting teams to develop job descriptions and identify candidates, as well as creating onboarding and training programs to help new hires get up to speed quickly.
• Develop career paths for your team members, set expectations for their growth and development, and provide regular feedback and coaching to help them achieve their goals.

Organizational Change Management

• Manage organizational change effectively, whether it involves new technologies, processes, or initiatives.
• Communicate the rationale for change, involve key stakeholders in decision-making, and manage resistance effectively.
• Develop and implement change management plans that minimize disruption and ensure that your team is able to adapt to new ways of working.

What you need to be successful

• A minimum of 8-10 years of professional experience in data science, including leadership roles in data science teams or consulting.
• A Ph.D. or Master's degree in a relevant field such as computer science, statistics, data science, or a related disciplines
• Proven experience in leading and managing managers and a demonstrated ability to foster a high-performance team culture.
• Must possess a deep and practical knowledge of data science, encompassing statistics, causality, experimentation, and causal inference, as well as knowledge in modeling.
• Must have a track record of applying these skills and leading teams to design and implement innovative data-driven products and deliver impactful insights and recommendations

Business Acumen

• Proven ability to understand and navigate complex business landscapes, including familiarity with industry-specific challenges and opportunities.
• Demonstrated experience in identifying and quantifying the business impact of data-driven initiatives, such as revenue growth, cost savings, and customer retention.

Strategic Thinking:

• A strategic mindset with the ability to envision and communicate long-term data-driven goals and objectives that align with the organization's overall strategy.
• Proficiency in developing and executing data-driven roadmaps and plans that drive innovation, competitive advantage, and market growth.

Language

• Python
• SQL
• POWER BI