Senior Data Scientist (Geo Search)

Responsibilities

• Own ranking, relevance and recommendation for geo search end to end, from training data through to models serving in production
• Build the label pipeline that turns search sessions and completed rides into trustworthy training data, including correction for position bias and other presentation effects
• Train and own the models that order results, and the confidence model that decides per query whether we serve our own answer or fall back to an external provider
• Build query understanding for our markets, including cross-script matching, using large language models to label offline and distilling into models fast enough for the keystroke path
• Own evaluation end to end: the offline replay harness that scores recorded sessions against real rides, the error analysis that turns failures into work for the right team, and the online experiments that prove impact
• Keep models healthy after launch as data and cities shift

Preferred

• Depth in geocoding, autocomplete, or place search
• Learning to rank in practice: pairwise and listwise objectives, MRR, NDCG, Hit@k, and their failure modes

Relevance tuning on OpenSearch or Elasticsearch, including analyzers

• Multilingual or cross-script search, for example Arabic and Arabizi or Urdu and Roman Urdu
• Distilling language models under a latency budget, and experience in mapping or geospatial products in developing markets

Key Responsibilities

Skills, Knowledge and Expertise

Minimum qualifications

• 5 or more years building models that shipped and improved a production metric
• Direct experience with ranking, search relevance, or recommendation systems, including how they are evaluated
• Expert Python and SQL, fluency with gradient boosting, and working knowledge of transformers
• Experience taking a model to production and owning it afterwards
• The ability to work across teams, since search quality work generates data and engineering tasks that others own

Conditions & Benefits

• Help us challenge injustice by creating fair choices for millions of people across 1100+ cities in 48 countries.
• Develop your professional skills with access to mentoring, career consulting, and learning programs.
• Collaborate with teams around the world and gain international experience through our Global Talent Exchange Program.
• Engage in company-wide challenges, awards, sports activities, employee-led social impact and volunteering projects.
• Work alongside people who take initiative, speak openly, and challenge themselves to grow.
• Improve your language skills through co-financed courses and internal speaking clubs.
• Final benefits may vary depending on the location.