Description

What you will do

Understand manufacturing data from clients, and devise strategies to solve pain points and add business value.

Work on data exploration, analysis, and automation of data cleaning tasks.

Work with the data science and product team to generate required insights on the client’s data.

Highly competitive compensation

Leadership opportunity in a high-growth company

A great team

We bring a unique combination of technical and business skills, with company leaders leadership from Palantir and McKinsey, and automotive leadership from GM and Ford. We’re an interdisciplinary team that prizes collaboration & diversity of thinking.

Who you are

Bachelor's or Master's degree in engineering, mathematics, Mechanical / Aerospace Engineering.

1-3+ years experience working with a renowned manufacturing /aerospace /automotive /consumer/product company.

Experience in working on spreadsheets or other interfaces for processing large amounts of data that is available in documents.

Experience with Python (Pandas)/R

Can understand, interpret and define the relationship among entities in Manufacturing data, and technical statements.

Can work on engagements from understanding the business objective through data exploration, identification, validation, manipulation, develop web scraping solutions.

Can collaborate with stakeholders including machine learning engineers, data scientists, data engineers, and product managers.

Entrepreneurial and driven. Excited to be part of a fast-growing SaaS company, set high standards, and deliver world-class results, demonstrating flexibility and adaptability as needed in a startup environment.

Excellent written and verbal communication skills.

Expertise in natural language processing (NLP) techniques for text analysis and sentiment analysis.

Experience with a startup.

Key Skills

Education

Any Graduate