Data Science Professionals - Trendyol GO
Job Summary
Job Description
Trendyol GO seeks Data Science Professionals to develop algorithms for its meal and grocery services. Responsibilities include enhancing user and seller experiences through improved personalization, recommendation models, search optimization, and A/B testing. The role involves building and iterating on ML models (classification, regression, ranking, etc.) to solve complex business problems, translating business needs into data-driven solutions, and communicating findings effectively across teams. The ideal candidate will have 2-8 years of experience in machine learning, proficiency in Python and SQL, and experience with ML pipelines. E-commerce experience is a plus.
Must have:
- 2-8 years ML experience
- Proficiency in Python & SQL
- ML pipeline design experience
- A/B testing expertise
- Effective communication skills
Good to have:
- Experience with scikit-learn, PyTorch, TensorFlow
- E-commerce experience
- Experience in local commerce
Perks:
- Hybrid work model
- Summer remote work
- Trendyol shopping budget
- International office locations
- Technical equipment
- Extensive training platform
- Mentoring and professional development
9 skills required
Job Details
Ready to learn more about us?
We were founded in 2010 with a dynamic and agile start-up spirit. The trust of around 30 million customers and 250,000 sellers has made us the first decacorn in Turkey. Our success is backed by renowned investors such as Alibaba, General Atlantic, Softbank, Princeville Capital and several sovereign wealth funds. In 2022, we opened our first dedicated international office in Berlin and expanded to Amsterdam, Luxembourg and London. And that's just the beginning!
Tech at the root
We believe that technology is the driver and e-commerce is the outcome. Thanks to the dedication of our team, we have become one of the top 5 e-commerce companies in EMEA and one of the fastest growing worldwide. We currently deliver over 1.5 million parcels daily to 27 countries.
Growth is in our DNA
As a young and dynamic company, we are constantly growing and expanding. With Trendyol Tech, one of the leading R&D centres, Trendyol Express, the fastest growing delivery network, Dolap, the largest platform for second-hand goods, and Trendyol Go, our instant food and grocery delivery service, we are gearing up to become the world's leading e-commerce platform.
Focused on positive impact
Our vision goes beyond business success. We strive to make a sustainable and positive impact on our customers, business partners, and society. By digitizing merchants and SMEs, helping businesses grow, and promoting women's economic empowerment, we are dedicated to creating a better future.
ABOUT THE TEAM
If you are a techie, you belong in our Technology Team that builds scalable, high-performance platforms for our customers using up-to-date and efficient technologies.
We are all working with the same purpose: To create a positive impact in our ecosystem by enabling commerce through technology.
YOUR MAIN RESPONSIBILITIES
- Data Science department in Trendyol consists of 100+ talented data scientists organized under several domains. Each domain is autonomous and empowered to experiment with new ideas while cross-collaboration is strongly encouraged with horizontal structures.
- As a member of the Trendyol GO domain(meal & grocery), your role entails the development of algorithms within the meal and grocery domains. Your primary responsibility is to enhance user and seller experiences on the platform which involves refining and improving personalization efforts and recommendation models to create significant impacts and improving ranking problems, enhancing relevancy, and optimizing search components to ensure the utmost efficiency and user satisfaction
- Be a data champion in Trendyol who relentlessly advocates for decisions based on data and actions driven by algorithms.
- Build, implement and iteratively improve ML models to solve complex business problems.
- Adopt a holistic mindset and develop comprehensive ML pipeline solutions, incorporating multiple algorithm layers as necessary.
- Execute A/B experiments, reach conclusions statistically and build upon learnings continously.
- Translate business needs into data world, come up with value-adding outputs and communicate the results to cross teams effectively.
- Focus on outcomes ensuring that all model development are aligned with the business objectives and deliver measurable resultsStay updated with the latest developments in data science and always come up with innovative ideas to improve processes iteratively.
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
QUALITIES WE ARE LOOKING FOR
- Bachelor's or Master's Degree preferably in Industial Engineering, Computer Science, Engineering, Statistics or a related quantitative field
- 2-8 years of proven experience in a variety of machine learning modeling techniques (Classification, regression, learning to rank algorithms, clustering, gradient boosting, deep learning etc.)Proficiency in Python and SQL is required. ML pipeline design experience is essential.
- Experience in one or more of the libraries such as scikit-learn, Pytorch and TensorFlow is a plus.
- Proven experience in data mining and statistical analysis
- Effective communication skills with a capability of explaining complex data concepts clearly.
- Exhibit a strong sense of urgency and drive tasks to completion to meet the dynamic needs of our fast-paced environment.
- Excellent written and verbal communication skills in English
- E-commerce & local-commerce experience is a big plus
- The experience range for this position is suitable for specialist/senior specialist.
JOIN US AND
* Take responsibility from day one and develop your skills with a talented and diverse international team.
* Experience open communication, flexibility, and a start-up spirit in our unique culture.
* Tackle big challenges in e-commerce with Agile practices and encourage growth by learning from mistakes.
* Join creative and focused teams that prioritize collaboration and problem-solving.
* Access our extensive training platform for continuous learning and personal growth.
* Benefit from the support of a global team of experts with mentoring and professional development opportunities.
* Focus on talent and potential, not just job titles.
* Connect with teammates regardless of physical distance through events, meetings, and social activities.
* Enjoy competitive benefits such as Trendyol shopping budget, central and international office locations, and top-of-the-line technical equipment.
We're looking forward to receiving your application!
We offer a hybrid model that combines the productivity of remote work with the bonding and collaboration of in-office work. Teams are expected to work from our offices on designated days each week, fostering team spirit, creativity and cross team collaboration as part of our culture.
We also provide a summer working model, with a two-month fully remote work opportunity during July and August.
The hybrid working model only applies to hybrid roles; on-site roles require regular office presence.
Discover more about our #LifeatTrendyol and our culture on our Website, LinkedIn and YouTube channels.
At Trendyol, we believe in the power of an inclusive workplace. We value diversity and believe that every team member contributes to our vibrant culture. Our platform is for everyone, and so is our workplace. We encourage the representation and amplification of diverse voices in our business, as it allows us all to thrive, contribute, and shape the future together.
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