Senior Data Scientist - Discovery
Job Summary
Job Description
As a Senior Data Scientist in the Discovery domain at Trendyol, you will lead the personalization and recommendation efforts, developing cutting-edge models to enhance user experience. You will work on building an exclusive content ecosystem and creating an industry-leading personalization domain. Responsibilities include developing recommendation systems, optimizing model performance using ML-Ops, collaborating with stakeholders to identify opportunities for leveraging data, and communicating findings to drive business impact.
Must have:
- Bachelor's or Master's Degree in relevant fields
- 3+ years of experience as a Data Scientist
- Experience in applied data science
- Knowledge of recommendation and personalization domain
- Good knowledge of Python
- Experience with libraries like Scikit-learn, PyTorch, TensorFlow
- Good knowledge of SQL
- Strong analytical skills
- Excellent communication skills in English
Good to have:
- PhD in relevant fields
- Experience with e-commerce or self-service business models
- Experience with ML-Ops infrastructure
Perks:
- Take responsibility from day one
- Develop skills with a talented team
- Experience open communication and flexibility
- Tackle big challenges in e-commerce
- Join creative and focused teams
- Access to extensive training platform
- Mentoring and professional development opportunities
- Competitive benefits like Trendyol shopping budget
- Central and international office locations
- Top-of-the-line technical equipment
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 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 embrace a hybrid working model that seamlessly blends the best of both worlds—remote productivity and the collaborative energy of our vibrant offices. Every month, we gather at our offices once to work side by side, fostering in person communication and embracing the camaraderie that fuels our team spirit. These sessions are crucial for teamwork in solving complex issues, socializing, learning from each other, and experiencing our culture.
Each division has a pre-set optional office day each week. Based on our preferences, we come together at our offices at our discretion as an opportunity to feel more team spirit, immerse in our culture, and familiarize ourselves with our way of workings.
We offer the opportunity for a two-month full remote work program, allowing you to work from abroad, during the summer period (July to August).
This working model applies to our hybrid job postings; on-site roles require being based in an office work environment.
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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