Data Scientist (L3)


Hello! 👋

Who are we? 

Locus.sh is a leading-edge technology company dedicated to solving the most challenging problems in logistics and supply chain. Our ambition? To revolutionise the supply chain realm through cutting-edge technology, enabling smarter, automated decision-making. From dispatch management and carrier orchestration to route optimization and real-time insights, our solutions are designed to enhance efficiency, consistency, and transparency in operations.

Our Journey and Impact: 

Since our inception in 2015, with the backing of esteemed investors like GIC Singapore, Qualcomm Ventures, Tiger Global, and Falcon Edge ($80M raised so far), we've embarked on a global mission to redefine logistics. Our technologies have empowered giants like Unilever, Nestle, and The Tata Group, facilitating over 1 billion deliveries across 30+ countries. The result? A staggering $288 million in cost savings, a 12 million tonne reduction in CO2 emissions, and an unwavering 99.5% SLA adherence.

Our Global Footprint: 

Based in Bangalore, India, our reach extends across the Americas, Southeast Asia, the Middle East, and beyond. As a vibrant team of 170+ visionaries, we're on an exhilarating growth trajectory.

Traits We Value:

Global: You possess a global mindset, understanding and appreciating diverse cultures and market nuances. You're adept at thinking beyond borders and appreciate the vast opportunities that a worldwide perspective brings.

Unrelenting: You display unmatched perseverance and commitment in everything you do. Challenges invigorate you, and you are determined to overcome obstacles with innovative solutions.

Intelligent: You consistently demonstrate sharp analytical thinking and astute problem-solving capabilities. You're quick to grasp complex concepts and can effectively communicate intricate ideas.


Role Description:

  • Ideation and opportunity discovery to implement data science solutions to enhance existing product

  • experience

  • Converting fuzzy product/ business requirements into a data science problem

  • To set the agenda/direction for data science application at Locus

  • Taking Ownership of the entire pipeline - from idea conception to delivery

  • To evangelize DS@Locus internally and externally

  • Mentoring your team members and data scientists

Qualifications:

  • Held the position of a DS-3 or similar level for more than a year with an overall 6-10 years experience in this domain

  • Operations Research background preferred

  • Have great coding skills - Python (preferred).

  • High proficiency in use of scientific libraries similar to and not limited to pandas, matplotlib, nltk, numpy, sklearn, seaborn, scipy, etc.

  • Experience of mentoring and guiding peer team members.

  • Displayed technical leadership skills

  • Have published patents / publications in national or international tier-1 peer-reviewed journals or conferences.

  • Possess critical and creative thinking

  • Have taken projects from ideation to production

  • Have Processed data at scale and possess knowledge of distributed systems

  • Have working knowledge of PyTorch, Keras and/or TensorFlow or similar framework

  • Armed with:

               - Open-source contributions in the AI/ML domain is a plus

               - Knowledge of Apache Spark/Hadoop and EcoSystem tools is a big plus

               - Logistics and Supply Chain domain experience is a big plus

Life at Locus comes with added benefits as well:


A comprehensive Health Insurance policy that covers you and also your loved ones 

No leave restrictions(you manage your own leaves)


At Locus, every member is an owner and a leader, no matter which team or function they represent. We believe that you are excited about the potential to make an impact in Last mile deliveries through technology and the prospect of creating a legacy that outlasts you! The biggest joy of working at Locus, for all of us, comes from the opportunity to create value each day and experience autonomy in all we do. 






Location

Bengaluru, India

Job Overview
Job Posted:
1 month ago
Job Expires:
Job Type
Full Time

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