Highest Qualification
B.E / B.Tech, Any Post Graduation
JOB DESCRIPTION
What is the Job like?
Work with a team of high performing data science professionals, and cross-functional business partners to identify business opportunities, optimize marketing campaigns, drive product road map or go to market strategy
Build automated data dashboards and visualizations to deliver business insights to the senior leadership team
Understand business problems and provide data-driven solutions for those problems
Develop statistical models and data-driven solutions to add lift to key performance metrics
Initiate and drive projects to completion with minimal guidance
Who should apply for this role?
Bachelors or Master’s degree in a quantitative discipline - Statistics, Operations Research, Computer Science, Engineering, Economics
4-7 years of experience working in data science or business analytics role
Experience working with large amounts of data using SQL, SAS, R or other statistical packages
Experience working in a Unix/Linux environment for automating processes with shell scripting
Experience programming in Python, Java or other programming languages
Experience in data dashboarding and visualization tool like Tableau, PowerBI or QuickSight
Experience in machine learning techniques like regression analysis, decision tree etc. a plus
ABOUT COMPANY
Flock is a Communication and Collaboration App designed specifically for Teams looking for a faster and more efficient way to communicate. You can discuss projects, share ideas, and make decisions faster! Flock integrates with other leading apps making sure all your work efforts are unified. Get the app here: www.flock.com/get
Flock powers over 35,000 companies globally. Flock users around the world have reported increased productivity by 30%, 50% fewer emails, and 50% reduced in-person meetings. Our clientele includes teams at Accenture, Tim Hortons, Whirlpool, VMware and Victorinox.
Flock is available to use across platforms - Mobile (iOS, Android), Desktop (Windows, MacOS) and Web.
