Overview
? Perform spatial analytics on location datasets
? Create new processing algorithms for solving specific business problems that involve location data analytics
? Create ETL processing pipelines for Big Data analytics (specifically large location datasets)
? Selecting features, building and optimizing classifiers using machine learning techniques
? Doing ad-hoc analysis and presenting results in a clear manner
? Optimize code for maximum speed and scalability
? Assure that all user input is validated before submitting code
? Collaborate with other team members and stakeholders
? Taking ownership of features and accountability (Must have)
What makes you a Great Fit
? Bachelor’s degree in computer science, statistics, mathematics, software engineering, or a similar field
? Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
? Proficient understanding of Python or PySpark
? In-depth understanding and experience on databases such as MongoDB and Post GRES
? Excellent Python scripting, data presentation and visualization skills, including web programming on Python
? Working knowledge of Python Web Frameworks: Django/Flask
? Good, applied statistics skills, such as distributions, statistical testing, regression, etc.
? Ability to provide accurate estimates for tasks and detailed breakdowns for planning and managing sprints
? Passion for solving challenging issues.
? Promote cooperation and commitment within a team to achieve common goals.
Job Location: Panaji (Goa)
What’s on Offer:
? Build for the world: a scalable tech-heavy platform with a very interesting and modern tech stack
? Be a major contributing member of a Rockstar B2B SaaS product team in a VC-funded fast-growing company
? An extremely steep learning curve!
About Transerve Technologies Pvt. Ltd.
Transerve is a location intelligence SaaS & enterprise solutions company, which helps users in deriving intelligence to solve business problems using spatial datasets. Transerve uses state-of-the-art technology infrastructure to create world-class product for assistive decision making that leverages location data.