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Senior Data Scientist - Discovery

İstanbul, Türkiye (Hybrid)

Senior Data Scientist - Discovery

1 Day ago • 3-7 Years • Data Analyst

About the job

9 skills required for this role

Add these skills to join the top 1% applicants for this job

tensorflow

algorithms

python

pytorch

sql

scikit-learn

data-science

business-strategy

budget-management

Job Description

As a Senior Data Scientist in Trendyol's Discovery domain, you'll enhance personalization and recommendation models. Key responsibilities include developing recommendation systems, improving user experience through exclusive content, and building a leading personalization platform. You'll apply ML-Ops best practices, optimize model performance, and collaborate with stakeholders to leverage data for business solutions. You'll translate findings into actionable strategies and communicate them to engineering and management. The role requires experience in a range of data science algorithms and models, strong analytical skills, and excellent communication in English. Experience with e-commerce is a plus.

Must have:

3+ years Data Science experience
Recommendation system expertise
Proficiency in Python/related libraries
SQL knowledge and analytical skills
Excellent communication (English)

Good to have:

PhD in relevant field
Experience with PyTorch/TensorFlow
E-commerce or self-service experience
ML-Ops experience

Perks:

Hybrid work model
Summer remote work
International team
Extensive training platform
Mentoring and development
Competitive benefits
Trendyol shopping budget

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 90+ 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 part of the Discovery domain which plays a central role for growth and expansion in Trendyol, you will improve and innovate the personalization effort and recommendation models to create meaningful impacts.
Develop recommendation systems, improve user experience by building an exclusive content ecosystem and create an industry leading personalization domain.
Apply best practices for working with ML-Ops infrastructure, improve models and infrastructure to optimize recommendation performance.
Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
Synthesize methodology and data into actionable business strategy and communicate findings to engineering and management teams as driving business impact.

QUALITIES WE ARE LOOKING FOR

Bachelor's or Master's Degree (PhD is a plus) preferably in Industrial Engineering, Computer Science, Statistics, with 3+ years of experience as a Data Scientist or Machine Learning Engineer.
Experience in applied data science and a wide range of data science stack of algorithms and models. Knowledge about recommendation and personalization domain is a big plus.
Good knowledge of python or other programming language. Experience in one or more of the libraries such as Scikit-learn, PyTorch and TensorFlow is a plus.
Good knowledge of SQL and familiarity with best practices.
Strong analytical skills with a data driven approach.
Excellent written and verbal communication skills in English.
Experience with e-commerce or self-service business models is a big plus.
The experience range for this position is suitable for specialist/senior specialist and executive/manager (non-team management) roles.

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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