Senior Data Scientist

About Toters

Toters is an on-demand e-commerce and delivery platform and operates a service that enables customers to get anything in their city at the highest level of convenience.

At Toters, technology is at the heart of everything we do. We have product teams that are working hard every day to create products that make our customers' lives easier. Our engineers are also continuously creating solutions to make our processes more efficient, all in an effort to get to our customers fast and at the best cost. If you are interested in working in a high growth startup environment, and look to be part of a team that will potentially change the way customers shop in the Middle East, apply now.

The Role

As a Senior Data Scientist focused on Experimentation and Advanced Analytics, you will be the ultimate authority on how we measure success and understand complex marketplace dynamics. Instead of building real-time production algorithms, your mandate is to answer the most difficult strategic questions across our network. You will design sophisticated experiments, apply causal inference techniques, and build advanced statistical models to uncover the "why" behind user behavior. You will act as a high-level strategic partner to Product, Operations, and Marketing leadership, ensuring that our biggest decisions are grounded in rigorous statistical truth.

What You’ll Do

Advanced Experimentation: Design, execute, and analyze complex experiments across a hyper-local, networked marketplace. You will lead the methodology for non-standard testing where traditional A/B tests fail (e.g., spatial switchback testing for driver dispatch, cluster randomization, geo-experiments).

Causal Inference: Apply econometric methods (Difference-in-Differences, Synthetic Controls, Propensity Score Matching, Regression Discontinuity) to measure the true incremental impact of product launches, pricing changes, or marketing campaigns when randomized control trials are impossible.

Deep Exploratory Analytics: Conduct rigorous deep-dives into massive datasets to uncover growth opportunities, optimize courier incentive structures, understand consumer price elasticity, and model marketplace network effects.

Predictive Modeling for Strategy: Build offline predictive models (e.g., Customer Lifetime Value (LTV), churn probability, user segmentation) to inform business strategy, targeted campaigns, and financial planning.

Metric Design & Measurement: Work closely with executive leadership to define "North Star" metrics, identify leading indicators of health, and establish guardrail metrics to protect the user experience.

Strategic Storytelling: Translate complex statistical findings into clear, compelling narratives. You will synthesize dense data into actionable recommendations for non-technical stakeholders and company leadership.

What We’re Looking For

Experience: 4+ years of experience in Data Science, Advanced Analytics, or Econometrics, with a heavy emphasis on experimentation and product strategy, ideally within a multi-sided marketplace, delivery, or mobility tech company.

Statistical Mastery: Deep expertise in applied statistics, probability, and experimental design. You intimately understand the pitfalls of p-hacking, novelty effects, cannibalization, and marketplace interference (spillover effects).

Technical Toolkit: Expert-level SQL skills. Fluent in Python or R for statistical modeling and data analysis

Commercial Acumen: You are highly business-oriented. You care deeply about driving measurable business value and user impact, rather than just using the most complex mathematical frameworks.

Communication Skills: Demonstrated ability to distill highly complex statistical concepts into clear, actionable frameworks for Product Managers and Business Operators.

Education: Master’s degree or PhD in Statistics, Economics/Econometrics, Biostatistics, Operations Research, Applied Mathematics, or a related quantitative field.

Nice to Have

Experience scaling or building internal experimentation platforms and A/B testing tools ( Statsig ).

Familiarity with spatial data analysis and geospatial tools (H3, Geopandas).

Prior experience analyzing logistics, supply chain, or pricing and incentive structures.