Roles:
Data
Must-have skills:
SQL
One of skills:
RPython
Nice-to-have skills:
AWS
Considering candidates from:
Central Asia, Europe, Middle East, South Caucasus, Belarus, Moldova, Russia and Ukraine
Central Asia, Europe, Middle East, South Caucasus, Belarus, Moldova, Russia and Ukraine
Work arrangement: Remote
Industry: Technology, Information and Internet
Language: English
Level: Middle
Required experience: 2+ years
Size: 51 - 200 employees
Company
Klevu creates an intelligent site search solution designed to help eCommerce businesses increase onsite sales and improve the customer online shopping experience. The company produces mass amounts of data on a daily basis. Combined with shopping data being directly delivered to their backend systems with access to shopping catalogues containing both the structured attributes and unstructured product descriptions, they have a wealth of data with immense opportunity to extract valuable insights and improve search accuracy.
Description
Tasks (depend on the team you join):
- Product Team:
- Identify and track the key metrics for the business, as a part of the product team
- Understand data and create actionable insights for product and business
- Enable data-driven decision making within the company by empowering people with data
- AI Team:
- Understand data and create actionable insights for the enrichment of AI models
- Create models for various business use cases like user segmentation, recommendations, etc
- Be the bridge between data engineering and data scientists
Must-have:
- 3+ years of experience as a data analyst
- Strong experience in SQL & Excel
- Experience analyzing large semi-structured datasets to solve business problems
- Product minded engineer with strong problem solving and analytical skills
- Ability to communicate effectively within and outside the AI/Product team
- Familiar with R or Python
- Excellent oral and written communication in English
Nice-to-have:
- Experience working with NoSQL DBs and/or data warehouses
- Experience in AWS cloud
- Experience with any BI tools
- Experience with statistical modelling techniques
Interview process:
- Intro call with Toughbyte
- First interview
- Technical interview
- There might be a test assignment
- Final culture fit interview with the CEO