Data Scientist - Mumbai, India - Bombay Shirt Company

Bombay Shirt Company Mumbai, India

Found in: Appcast Linkedin IN C2 - 1 week ago

Description

Job Title : Data Scientist

Joining From: April 2024

Job Location: Mumbai

Work From: Office

About Bombay Shirt Company:

Do clothes fit you or you fit into clothes?

Launched in 2012, Bombay Shirt Company is the first online custom brand in India. We create high-quality,

custom-made clothes. Clothes that fit you, rather than you trying to fit into them. We believe in quality fabrics,

expert craftsmanship, and personalized service - all done with minimal wastage.

Our presence is across geographies – 21 stores in India and 1 in New York City. We also serve via our

website and mobile app. As we grow at break-neck speed, we're slated to open over 20 more stores in the

next year alone.

This is the future of fashion.

Job Description:

You will be the first Data Scientist in the organization

 You will primarily be responsible for developing products using tools such as Python & Tableau. This

includes consultation with leadership, stakeholders, and other end users to provide insights and create

actionable, intuitive dashboards.

 You will enjoy working with one of the richest data sets in the industry, open-source tools, and the ability

to see your insights turned into real products every day.

 Your work will change the way fashion functioned.

 You will be working on stimulating industry-first solutions with diverse team members.

Requirements:

 Python: 2+ years in data manipulation/analysis using Pandas/Numpy/other libraries.

 Tableau: 2+ years of professional experience in building dynamic and responsive dashboards.

 SQL: Strong skills in writing complex yet efficient SQL queries.

 Data manipulation: Proven experience in handling large volumes of data including data extraction,

and data transformation.

 Familiarity working with any RDBMS such as PostgreSQL.

 Good at MS Excel.

Responsibilities:

 Provide in depth analysis, discovery, investigation, and visualization of data to build reporting

solutions which support various company initiatives.

 Develop a comprehensive understanding of data and manage data transformation to enable short and

long-term analytics and reporting.

 Partner with various stakeholders – Operations, Stores, Marketing – within company to improve

process efficiency.

 Managing ambiguity and reacting quickly to changing priorities even when not all the information is

available.

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