Data Scientist (Commercial)

Posted 12 Hours Ago
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Mandaluyong, City of General Trias, Cavite, Calabarzon
Mid level
eCommerce • Retail
The Role
The Data Scientist will enhance pricing and demand planning models using data modeling techniques, optimize methodologies, perform real-time tests on pricing strategies, and collaborate with various teams for data-driven solutions.
Summary Generated by Built In

Please note that the role is hybrid (2 days per week from the office in Mandaluyong), working hours: 2-11 PM. 

The role

At SellerX, we are expanding our Data Analytics Department and we are currently seeking a Data Scientist to join our dynamic team. In this role, you will play a pivotal part in building and refining data models, as well as devising effective methodologies to drive precise pricing and demand planning for thousands of products sold globally under our SellerX brands.

Ready for an exciting challenge? Apply today!

Your Responsibilities in Detail

  • Apply advanced data modelling techniques using Python and SQL to develop and enhance our existing planning and pricing models across our comprehensive portfolio
  • Take our pricing and forecasting methodologies to the next level by improving accuracy, refining rules and processes, and optimizing our current toolset
  • Challenge existing assumptions and propose innovative solutions to scale and automate our planning and pricing processes
  • Initiate and conduct real-time tests to gauge the impact of pricing and promotion strategies on sales, profitability, and product rankings
  • Collaborate closely with cross-functional teams in commercial, supply chain, operations, and finance to identify constraints and objectives that will inform and enhance our modeling efforts
  • Lead one-off analyses for our leadership team, including the Chief Commercial Officer (CCO) and Chief Executive Officer (CEO)

Your Background

To join our team, you bring along

  • 2+ years hands-on experience in at least one of the following areas: Demand forecasting, pricing, or marketing
  • End-to-end Data Science experience in Machine Learning: from development to deployment of models with real business impact using Python, AWS, Kubernetes, Airflow
  • Proficiency in ML modeling using Python (Time Series models, Tree-based models or Deep Learning)
  • SQL is a must (preferably in a Snowflake)
  • Experience in taking ML use cases from concept to production.
  • Experience in building and managing MLOps frameworks would be a big plus 
  • Familiarity in visualization or building reports in Power BI would be nice to have
  • Degree in Engineering, Computer Science, Data Science, Operations Research, or equivalent
  • Strong stakeholder management skills to translate business needs into data-driven solutions

Sounds exciting but you're not sure if you tick all the boxes? We are always happy to read your application and hear your story. Everyone's talent is unique!




About SellerX: 

At SellerX, we embark on an ambitious journey to establish ourselves as the global leader in acquiring and operating a new generation of eCommerce businesses. As one of Europe's fastest-growing startups, we've secured $750M in funding from renowned VC and PE firms such as L Catterton, 83North, Cherry Ventures, Felix Capital, Sofina, Victory Park Capital, and BlackRock. 

Since November 2020, our dynamic team has expanded to over 800 talented individuals, shaping our presence across 6 offices spanning Europe, APAC, and the US. 

Our Distinctive Journey: 

Founded by visionary serial entrepreneurs and Harvard Business School graduates, our leaders bring over 12 years of invaluable experience in eCommerce and private equity. Our senior management comprises distinguished professionals from Amazon, eCommerce, and investment sectors, each contributing to our collective success. 

A Portfolio of Excellence: 

We take pride in our diverse portfolio, boasting a panel of 80+ brands that showcase our commitment to excellence and innovation in the eCommerce space. 

Evolving Beyond Boundaries: 

As SellerX continues to evolve, we recognize the need to tell a compelling story that reflects our current standing in the industry. With a solid foundation and a team of dedicated individuals, we are charting new territories and redefining the eCommerce landscape. 

Why Join SellerX: 

We're not just building a company; we're crafting a legacy. Your role at SellerX is pivotal because we firmly believe that our company is only as exceptional as the team we assemble. Join us in shaping the future of eCommerce and be a part of a company that values innovation, collaboration, and continuous growth. 

SellerX is an Equal Opportunity Employer. We value diversity and strive to create an inclusive workplace for everyone. We do not discriminate based on race, color, religion, gender, sexual orientation, national origin, genetics, disability, age, or veteran status. We actively encourage individuals from all backgrounds to apply.

We are dedicated to providing equal opportunities in recruitment, training, promotion, and compensation. SellerX is proud to foster a diverse and talented team, reflecting the global nature of our business. Join us in building a workplace where innovation and creativity thrive.

Top Skills

Python
SQL
The Company
Miami, Florida
445 Employees
On-site Workplace
Year Founded: 2020

What We Do

SellerX is a Berlin-based, high-growth eCommerce player that aims to consolidate Amazon’s most successful sellers, acquiring them to scale their business and turn their brands into global household names. Founded in 2020, SellerX has become one of the largest eCommerce aggregators in the European market. Today it manages more than 50 ecommerce brands.

SellerX is supported by well-known and reputable equity investors such as Sofina, L Catterton, Cherry Ventures, Felix Capital, 83 North, a wholly owned subsidiary of the Abu Dhabi Investment Authority (ADIA), and debt investors via funds and accounts managed by BlackRock and Victory Park Capital, and has raised more than $750m in equity and debt financing.

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Senior Data Engineer

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Mandaluyong, City of General Trias, Cavite, Calabarzon, PHL
445 Employees

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