Data Scientist Lead

Responsibilities

• Act as a strategic advisor, combining technical expertise with domain knowledge to solve complex business challenges and unlock growth opportunities.
• Unblock team members and drive solutions under tight timelines, ensuring delivery without compromising on quality or technical standards.
• Build, mentor, and lead a high-performing DS&AI team, fostering technical excellence, business impact, continuous learning, and professional growth.
• Drive innovation by researching, evaluating, and integrating cutting‑edge techniques (e.g. advanced forecasting, personalization, generative AI) into production solutions.
• Shape and influence the organizational data strategy, defining standards and practices to maximize long‑term business impact.
• Lead and oversee the full lifecycle of high‑impact DS&AI projects, from scoping and design to production deployment, ensuring measurable outcomes for the business.
• Define and communicate the technical vision for the DS&AI team, ensuring alignment of solutions with company strategy and stakeholder priorities.
• Safeguard project quality by setting technical best practices, reviewing designs, and providing strategic technical guidance across initiatives.
• Guide experimentation and model validation through advanced methodologies (A/B testing, switchbacks, Bayesian approaches), ensuring results translate into business KPIs.
• Oversee deployment, monitoring, and scaling of ML and GenAI systems, ensuring performance, governance, and sustainability at scale.

Qualifications

• MSc in Data Science, Big Data, AI, Statistics, or a related field.
• 5+ years of experience in data science, machine learning, or statistical modeling, with at least 1 year in a leadership role.
• Advanced expertise in statistical modeling, experimental design, and specialized ML/DL domains (e.g. recommendation systems, time series, NLP, AI agents).
• Proven track record of leading end‑to‑end, high‑impact projects from problem framing to deployment, with ownership of business metrics and measurable value delivery.
• Strong leadership and stakeholder management skills, with the ability to define technical direction and align it with strategic business priorities.
• Demonstrated ability to grow and mentor teams, set high technical standards, and ensure long‑term quality and sustainability of DS & AI products.
• Proven success in leading teams through the design, deployment, and scaling of ML/DL models in production, with strategy‑setting for real‑time, low‑latency, and streaming environments.
• Experience defining strategy and leading cross‑functional teams to build, deploy, and scale LLM‑based applications.
• Deep expertise in SQL, with the ability to architect, debug, and optimize highly complex queries and pipelines for large‑scale data environments.
• Proven expertise in marketplaces, delivery, or logistics tech, with the ability to compound DS methods with deep domain knowledge.

Benefits

• Global Vibes – Collaborate with a worldwide crew.
• Brain Boosters – Learning budgets, access to courses, and tools for your growth.
• Flexible Time Off – Generous leave and wellness policies to support work‑life balance.
• Agile Everything – Scrum‑based workflows across product and operations.
• Great Place to Work® certification – Recognition that celebrates a culture built for people to thrive.
• ISO 9001:2015 and ISO 45001:2018 certifications – Commitment to world‑class quality and a safe, supportive workplace.
• Give Back – Commitment to sustainable practices and community‑focused CSR projects.
• Diversity and Inclusion – Equal‑opportunity workplace that welcomes people from all walks of life.