
Tajir Data Science Team Member
5 days ago
Tajir is dedicated to transforming the retail landscape in Pakistan by leveraging cutting-edge technology to optimize business processes and increase efficiency.
Traditional retail methods often lead to waste, inefficiencies, and missed opportunities. Our platform offers a modern alternative, allowing store owners to streamline their operations, reduce costs, and enhance customer experiences.
We've secured backing from renowned investors, including Kleiner Perkins and Y Combinator, who have a track record of investing in successful startups like Google, Amazon, Coinbase, Airbnb, and Dropbox.
Job DetailsThe ideal candidate will possess strong analytical and problem-solving skills, with experience in designing and implementing data-driven solutions. As a Data Scientist at Tajir, you'll work closely with our team to develop and refine our algorithms, ensuring they meet our high standards.
You'll be responsible for collaborating with cross-functional teams to gather requirements, design solutions, and implement them using Python, SQL, and other relevant technologies.
ResponsibilitiesCollaborate with cross-functional teams to gather requirements and design data-driven solutions.
Develop and refine algorithms to support our operation, from purchase orders to delivery.
Implement data-driven solutions using Python, SQL, and other relevant technologies.
At least 2 years of experience in data science.
Elite SQL querying skills, including complex joins, CTEs, LIMIT, OFFSET, GROUP BY, HAVING, and other advanced features.
Experience with non-querying parts of SQL, such as DDL, procedures, and indexes.
Proficiency in Python, particularly with pandas and numpy libraries.
An understanding of relational databases (e.g., Postgres) versus columnar databases (e.g., BigQuery).
A strong foundation in mathematics through a degree in Physics, Math, Statistics, or a related field.
A personal project that showcases exceptional engineering skills.
A substantial contribution to open-source code.
Experience interviewing customers and gathering feedback.
We prioritize candidates with great engineering skills over specific tech stack experience. That being said, our Android app uses Java and Kotlin, while our backend runs on Python and Flask deployed to Google Cloud as Docker images. We rely on PostgreSQL for transactional data and BigQuery for analytics.
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