Why Join Vahak?
Aside from the fact that we're building India's leading B2B transportation marketplace, have bean bags, unlimited snacks, stellar perks and pretty much the coolest team -
... We forgot the punch line.
Oh well, if you want to be a part of a dynamic workforce and build a product that's impacting the lives of over 10 Lakhs+ Indian transporters - come join us!
Fascinated by our culture? Get to know more about us!
Responsibilities
- Undertake to preprocess of structured and unstructured data
- Build predictive models and machine-learning algorithms
- Combine models through ensemble modelling
- Propose solutions and strategies to business challenges
- Collaborate with engineering and product development teams
- Present information using data visualization techniques
- Identify valuable data sources and automate collection processes
- Analyze large amounts of information to discover trends and patterns
- Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
Qualifications
- Proven experience as a Data Scientist and Advanced analytical knowledge of data
- Experience using business intelligence tools (e.g. Tableau, Power BI – not mandatory)
- Conceptual understanding of various modelling techniques, pros and cons of each technique
- Strong problem-solving skills with an emphasis on product development.
- Programming advanced computing, Developing algorithms and predictive modelling experience
- Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, XGboost, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.
- Demonstrated experience applying data science methods to real-world data problems