
Efficiency Expert for Tajir
5 days ago
Tajir is an innovative retail platform transforming the traditional wholesale industry. We empower store owners with an app that enables them to buy everything they need, delivered reliably the next day.
Our mission is to optimize the supply chain by reducing unnecessary vehicle movements and increasing delivery efficiency. This leads to higher profits for both store owners and manufacturers, while also contributing to a more sustainable environment.
We are supported by esteemed investors, including Kleiner Perkins and Y Combinator, who have previously invested in renowned companies like Google, Amazon, Coinbase, Airbnb, and Dropbox. Learn more about us on Forbes and Geo News.
Job DescriptionYou will be working as part of a dynamic team that leverages real-time customer data to deliver exceptional experiences. Our Data Scientists design and implement algorithms to support our operations, from order management to delivery. These algorithms are rigorously tested on real and simulated data.
Your key responsibilities include identifying opportunities to improve our services by analyzing customer behavior, product demand, and operational efficiency. By doing so, you will help us make informed decisions that drive business growth and customer satisfaction.
Your primary objective is to facilitate fast and accurate data analysis, ensuring that we make timely and informed decisions without relying on intuition or guesswork.
Requirements- A minimum of 2 years of experience as a Data Scientist is required.
- You should possess advanced SQL querying skills, including expertise in complex joins, subqueries, and data aggregations.
- Proficiency in Python programming, particularly with libraries like pandas and numpy, is essential.
- Familiarity with database management systems, including relational databases (e.g., Postgres) and columnar databases (e.g., BigQuery), is necessary.
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