As a Senior Manager leading the Growth Data Science unit, you will play a pivotal role in leading and accelerating growth strategies across multiple dimensions, including marketing optimization, growth product initiatives (e.g., churn reduction), ecosystem plays (e.g., subscription models and rewards), and ads revenue optimization. This leadership position will require close collaboration with product teams, senior marketing, and partner growth leadership, ultimately driving data-driven decision-making and achieving transformative business growth.
You will collaborate closely with business leaders and a dynamic team of data scientists and engineers. Your leadership will ensure the seamless integration of the data value chain—from data collection and modeling to analysis, reporting, and experimentation—ultimately empowering Talabat to achieve operational excellence and unparalleled customer satisfaction.
Responsibilities
- Lead the strategic vision for leveraging data to refine and enhance logistics operations, ensuring alignment with Talabat’s broader business goals.
- Champion a data-driven culture within logistics operations, promoting advanced analytics and data science methodologies.
- Build and maintain strong collaborative relationships with key stakeholders across product, business, and engineering teams.
- Guide, mentor, and develop a highly skilled team of data scientists and analysts, fostering an innovative work environment.
- Spearhead innovative data science projects, including predictive analytics, machine learning models, and optimization algorithms.
- Ensure the development of a robust and scalable data infrastructure supporting advanced analytics and data science activities.
- Oversee the generation of insightful analytical reports tracking key performance indicators (KPIs) for informed decision-making.
- Translate complex data-driven insights into clear, actionable recommendations for various audiences.
- Stay updated on the latest trends in data science and logistics, incorporating cutting-edge practices into Talabat’s strategy.
- Effectively manage resources to balance long-term initiatives and immediate operational needs.
- Design and manage experimental frameworks, such as A/B testing, to guide continuous improvement.
- Provide analytical support for developing KPIs and goal-setting processes aligning with Talabat’s strategic objectives.
- Cultivate an environment of excellence and innovation within the data science team, promoting creative thinking and continuous learning.
Requirements
Technical Expertise:
- Proficient in the full data analysis lifecycle, including problem formulation, data auditing, and presentation.
- Advanced skills in data analysis tools and programming languages such as Python, R, and SQL.
- Experience in data modeling, dimensional design, and manipulating complex data structures.
- Strong background in experiment design and statistical analysis, including A/B and multivariate tests.
- Knowledge of Big Data technologies, preferably with experience in BigQuery and the Google Cloud Platform.
- Familiarity with classical machine learning frameworks (e.g., Scikit-learn, XGBoost, LightGBM) is advantageous.
Qualifications:
- Bachelor's or Master's degree in Engineering, Computer Science, Technology, or related fields. An advanced degree is preferred.
- Minimum 8+ years of experience in data science, with at least 3+ years in a leadership role managing data teams.
- Proven leadership ability in managing high-performing teams and executing strategic plans to meet business objectives.
- Exceptional collaboration and communication skills with diverse stakeholders.
- Demonstrated problem-solving skills with a growth mindset.
- Strong sense of ownership and accountability, committed to high-quality results.
Location
Dubai, UAE
Job Type
Full-time
