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Senior Data Scientist - Seller

Ankara, Türkiye (Hybrid)

Senior Data Scientist - Seller

1 Week ago • 3-6 Years • Data Analyst

About the job

Summary_{By Outscal}

6 skills required for this role

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

Must have:

Bachelor's or Master's Degree in related field
3-6 years of experience in machine learning
Proficiency in Python and SQL
ML pipeline design experience
Data mining and statistical analysis experience
Effective communication skills
Strong sense of urgency and drive
Excellent English communication skills

Good to have:

E-commerce experience

Perks:

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.

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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 Seller domain, your goal is to enhance business value by leveraging data science to improve the seller experience on the platform. This includes assessing seller and product quality, offering algorithm-driven recommendations to sellers, and delivering predictive insights across the Seller lifecycle.
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 results.
Stay 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 Industrial Engineering, Computer Science, Engineering, Statistics or a related quantitative field.
3-6 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.
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 experience is a big plus.
The experience range for this position is suitable for specialist/senior specialist 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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