SmartShift Logistics Solutions is Looking for Data Scientist II Full Time

Data Science

Job posted on

Feb 22, 2023

Employment type

Permanent

Company Overview:

At Porter, we are passionate about improving productivity. We want to help businesses, large and small, optimize their last-mile operations and empower them to unleash the growth of their core functions. Last mile delivery logistics is one of the biggest and fastest growing sectors of the economy with a market cap upwards of 50 billion USD and a growth rate exceeding 15% CAGR

Porter is the fastest growing leader in this sector with operations in major cities, a fleet size exceeding 1L registered and 50k active driver partners and a customer base with 3.5M being monthly active. Our industry-best technology platform has raised over 150 million USD from investors including Sequoia Capital, Kae Capital, Mahindra group, LGT Aspada, Tiger Global and Vitruvian Partners

We are addressing a massive problem and going after a huge market. We’re trying to create a household name in transportation and our ambition is to disrupt all facets of supply chain. At Porter, we’re here to do the best work of our lives

If you want to do the same and love the challenges and opportunities of a fast paced work environment, then we believe Porter is the right place for you

Company URL: https://porter.in/

Porter collects data at scale about how our customers, our drivers, and our teams make decisions on every transaction every day. Using the insights embedded in this data, we can make better decisions about everything — from the markets we target to the products we deliver in them, to significantly outperforming conventional processes.

We deliver on data-led innovations to put this data to work and capitalise it as a strategically important asset

Responsibilities

• Train and deploy machine learning and deep learning models on large scale datasets

• Deliver end-to-end data science solutions on business problems identified

• Build models to extract, in real time, insights and relationships from the data

• Construct specifications for how we should collect, instrument and analyse data and drive required product and platform changes

• Communicate complex models, analysis, and recommendations in a clear and precise manner – to technical and non-technical audiences alike

• Collaborate with business and product teams on application of statistical and machine learning methods

Ideal Candidate will

• Have a Bachelor’s degree in any discipline of Mathematics, Statistics, Economics or Computing

• Have 3 to 5 years of experience as data scientist, applied scientist, machine learning engineer or related role

• Have experience deploying models and awareness of applying some of the following techniques

• ( ideal ) using GANs

• using gradient descent

• training any kind of neural networks with any kind of kernels

• Express common problems of “learning” using concepts from linear algebra and/or statistics where applicable

• Understand the patterns, anti-patterns, pitfalls of all common techniques used in models using statistical-, machine- and/or deep-learning

• Has a strong awareness of packages like numpy, pandas, sklearn, pytorch, tensorflow, matplotlib