SDE1,SDE2

Card image cap
SDE1,SDE2

CommerceIQ

Bangalore INR 10 - 35 LPA Experience : 1 - 6 YRS. Openings: 3

Details:

What we are looking for -

  • Bachelor’s or Masters in Computer Science or Maths/Stats from a reputed college with 1+ years of experience in solving data science problems that have driven value to customers
  • Good depth and breadth in machine learning (theory and practice), optimization methods, data mining, statistics and linear algebra. Experience in NLP would be an advantage
  • Hands-on programming skills and ability to write modular and scalable code in Python/R. Knowledge of SQL is required
  • Familiarity with distributed computing architecture like Spark, Map-Reduce paradigm and Hadoop will be an added advantage
  • Strong spoken and written communication skills, able to explain complex ideas in a simple, intuitive manner, write/maintain good technical documentation on projects
  • We are looking for candidates who are curious and self-starters; obsess over customer problems to deliver maximum value to them

 

Why you will love to work with us -

We have multiple brands, which are among the biggest brands operating on amazon, as our customers. You will be responsible for working with their data and developing models and algorithms to drive lift in tune of hundreds of thousands of dollars. 

  • We have a flat hierarchy. Everyone codes, everyone ships
  • You will own projects end to end i.e., from exploration to final production
  • You will be empowered to make decisions. It implies more responsibilities but high learning
  • Immense opportunities to learn and develop ML based SaaS products for brands and get company-wide recognition
  • Forget endless meetings. Get things done and start making an impact from day 1
  • Work hard, have amazing fun, create history, build the future of eCommerce
  • Start-up environment with a strong culture and values to accelerate your career

Min. Qualification:

Any Graduation from top tier institutes and experience in startup's OR product companies is preferred.

Skills Required:

Data Scientist, Machine Learnin, NLP, Python, R

Roles:

  • Bachelor’s or Masters in Computer Science or Maths/Stats from a reputed college with 1+ years of experience in solving data science problems that have driven value to customers
  • Good depth and breadth in machine learning (theory and practice), optimization methods, data mining, statistics and linear algebra. Experience in NLP would be an advantage
  • Hands-on programming skills and ability to write modular and scalable code in Python/R. Knowledge of SQL is required
  • Familiarity with distributed computing architecture like Spark, Map-Reduce paradigm and Hadoop will be an added advantage
  • Strong spoken and written communication skills, able to explain complex ideas in a simple, intuitive manner, write/maintain good technical documentation on projects
  • We are looking for candidates who are curious and self-starters; obsess over customer problems to deliver maximum value to them

Recommended Jobs

Card image cap
Data Science Intern - Analytics Vidhya - Gurgaon

Analytics Vidhya

Gurugram INR 1 - 2 LPA

What is the hiring process? Because, we got more than 1000 application, a simple process would not work anymore. So, there is a new format of selection: The first round will be technical skill assessment – and what could be more appropriate than our DataHack platform. This round would includ

See More
Card image cap
Intern- Data Analytics- Gurgaon (2-6 Months)

A Client of Analytics Vidhya

Gurugram INR 0 - 1 LPA

  The intern will be expected to work on the following Building a data pipe line of extracting data from multiple sources, and organize the data into a relational data warehouse. Build fact tables with measures and dimensions from granular data. Build Vizualizations  on Tableau. Sen

See More
Card image cap
Software Engineer – Machine Learning- Bangalore (3+ Years of Experience)

A Client of Analytics Vidhya

Bengaluru INR 3 - 10 LPA

Job Responsibilities:•Design & build machine learning algorithms to solve business problems using different techniques like clustering, recommendation, classification.•Develop statistical or machine-assisted approaches to problems at massive scale.•Build models to solve business problems such as

See More