Senior Data Scientist
AND Global
Purpose:
We are seeking an experienced Senior Data Scientist with strong people management skills to lead high-impact analytics projects, drive innovation, and manage a team of data professionals. This role requires a balance of deep technical expertise, strategic thinking, and team leadership to deliver measurable business outcomes.
Duties:
- Lead and manage a team of data scientists, providing mentorship, performance feedback, and career development support.
- Guide the team in designing and building robust machine learning models, data pipelines, and analytics solutions.
- Collaborate with engineering, product, and business stakeholders to define priorities and align data science efforts with strategic goals.
- Ensure high-quality delivery of projects by setting standards for coding, documentation, testing, and model validation.
- Communicate insights and recommendations clearly to executives and non-technical audiences.
Requirements:
Background
- Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field.
- 5+ years of experience in data science or analytics, with at least 2 years in a team lead or managerial role.
Technical skills
- Strong foundation in mathematical modeling and statistical analysis, with the ability to apply these methods to solve complex, real-world problems.
- Proficient in data visualization and analytical tools such as Tableau, Power BI, STATA, and Microsoft Excel, with a focus on delivering clear and actionable insights.
- Experienced in conducting end-to-end research and analysis, including data exploration, hypothesis testing, and presenting evidence-based conclusions and practical solutions.
- Proficient in programming languages such as Python, R, and SQL; able to quickly learn and adapt to new tools or languages as needed for project requirements.
Leadership skills
- Proven experience managing and scaling data science or analytics teams.
- Ability to mentor junior team members and foster a high-performing team culture.
- Strong project management skills and ability to manage multiple priorities.
- Excellent communication, storytelling, and stakeholder management skills.
- Experience leading cross-functional collaboration with business and technical teams.