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ABOUT THE TEAM

Trendyol Go, originally founded as the instant delivery arm of Trendyol, one of Turkey’s leading e-commerce platforms, was acquired by Uber to join forces in accelerating the future of local commerce and on-demand delivery. Born from a dynamic startup spirit and backed by Trendyol, Trendyol Go connects local merchants, couriers, and customers in real time to meet everyday needs with speed and reliability.

Our on-demand platform offers instant delivery for food, groceries, and more bringing convenience and choice right to the doorsteps of millions. As part of Uber, the world’s largest mobility and delivery technology platform, we combine local market expertise with cutting-edge technology to redefine urban delivery.

We are committed to powering seamless experiences that enable customers to get what they want, when they want it, while creating flexible earning opportunities for couriers. With a mission to strengthen local commerce and foster positive impact on merchants and couriers, Trendyol Go is evolving rapidly expanding its offerings and reach, innovating with technology, and delivering exceptional service every step of the way.

TGO'sData Science Teamconsistsoftalentedprofessionalswhoareresponsiblefromall Data Sciencerelatedaspectsof TGOandbeyond.

Youwillworkoncutting-edgealgorithmstoenhancethecustomerandsellerexperienceinthereal timedeliveryspace.

Yourworkwillinvolveimprovingpersonalizationandrecommendationmodels,optimizingsearchandrankingsystems,and ensuring High relevance

Beachampionofdata-drivendecisionmakingandalgorithmicthinkingwithin

TGO.

Build,deploy,andcontinuouslyimprove

MLmodelsthatsolvereal-worldbusinessproblems.

Designcomprehensive

ML pipelines,oftencombiningmultiplealgorithmicapproaches.

Execute

A/Btests,interpretstatisticalresults,anditeratebasedonlearnings.

Translatebusinessrequirementsintotechnicalsolutionsandcommunicateinsightseffectivelyacrossteams.

Ensureallmodelsarealignedwithbusinessgoalsanddelivermeasurablevalue.

Stayupdatedwiththelatestdatascienceadvancementsandbringnewideastothetable.

Collaboratewithstakeholdersacrosstheorganizationtoidentifyopportunitiestoleveragedataforstrategicoutcomes.

Bachelor’sor Master’sdegreein

Industrial

Engineering,Computer Science,Statistics,orarelated field.

Minimum 2 yearsofexperienceinmachinelearning(classification,regression,ranking,clustering,deeplearning,etc.)Proficiency in

Pythonand

SQL;hands-onexperiencein

MLpipelinedesignisa must.

Familiarity with

MLlibrarieslikescikit-learn,PyTorch,orTensor

Flowisa plus.

Strong skillsindataminingandstatistical analysis.

Experience inNLPtechniquesand

Generative

AIs isa plus.

Ability toclearlyexplaincomplexdataconceptstobothtechnicalandnon-technical audiences.

High senseofownershipandurgencyinafast-paced,evolving environment.

Excellent commandof

English,bothwrittenand verbal.

Experience inlocalcommerce(especiallyinreal-time delivery) ore-commerceishighlyvalued.

• Take ownership from day one and grow your skills in a collaborative, international environment.
• Experience a start-up spirit with the stability of a large tech company.
• Tackle impactful challenges in local commerce using agile practices.
• Be part of a creative, focused team that values collaboration and results.
• Access a rich learning platform for ongoing personal and professional development.
• Work with global experts, supported by mentoring and upskilling opportunities.
• Advance based on talent and impact — not just job titles.
• Stay connected through engaging team events, meetings, and social activities.
• Enjoy top-tier benefits.
• Balance flexibility and team bonding through our hybrid work model, including the summer model to work remotely opportunity

We look forward to your application! We operate on a hybrid model, combining the efficiency of remote work with the collaboration of in-person teamwork. Teams come together on designated days to foster creativity and connection.

Note:

Hybrid work applies only to hybrid roles. Some positions may require regular on-site presence.