Data Science Intern/Full Time

About The Company:
Editorialist YX melds personal styling, editorial content, and shopping into one seamless digital experience powered by proprietary technology and e-commerce tools.

Editorialist.com, our media property, delivers sophisticated content and commerce to aspirational and affluent consumers. Our stories connect readers with bespoke product and service solutions for fashion, accessories, beauty, and wellness needs. The cornerstone of our tech platform—the YX app—blends content, digital services, and e-commerce for our elite clientele, individuals with an average net worth in excess of $550 million.

Our co-founder and CEO Rafael Ortiz previously co-founded NexTag, the largest comparison shopping site for products and services, and was responsible for marketing and business development until its sale for $1.2 billion.

Website: www.editorialistyx.com

Profile Offered: Data Science Intern/Full Time

Job Location: Remote

Desired Experience: Freshers

Course Specialization: BTech/MCA in CSE/IT
Target Batch: 2022
Stipend:  INR 20K-25K (In hand)

Duration of internship: 6 months
For FTE:  INR 8-10 LPA
Tentative date of interview: November
Tentative date of joining: January

Job Description:

Requirements:
Must have done projects in Python, SQL, UNIX
Strong knowledge of mathematics, statistics, probability and machine learning: this is the most important skill we are looking for. We would prefer a candidate who can read a regression table and explain p-values (correctly!) to one who writes production-ready code in the first go
Ability to explain complex concepts in simple terms
High Energy/Startup Mindset
Excellent communication (English) and presentation skills
Willingness to learn
Excellent Team Player

Roles and Responsibility:
Work cross-functionally across different teams to understand business requirements, needs of our audience and that of our clients.
Collect, clean and analyze data from diverse streams of structured & unstructured data
Extract meaningful insights from data and present it to various stakeholders
Work on an end-to-end data science lifecycle: from building proofs-of-concept to production-ready models & working with engineers to deploy them to production
Build models which:
Improve the accuracy of various processes within our pipeline
Improve search ranking, relevance, and personalization
Write elegant machine learning and data analysis code in Python
Be a champion of data driven culture in the company

Benefits:
Monthly stipend at par with the best in the Industry.
MacBook
Medical Insurance
Internet Claim Reimbursement for remote working.

Interview Process:
Multiple Virtual Interviews