SmartCube : Assistant Manager – Data Science

Brief Description of position:

Job Description –Assistant Manager – Data Science  

About us 

In today’s Intelligence Age, the world’s best businesses have no choice but to continuously strive to  become smarter. 

Our clients hold the key to this and are today harnessing the power of The Smart Cube’s solutions to  unlock new innovation and profit streams. 

The strength of our solutions is born of a powerful blend of people, tools and technology.

A rare breed 

Back in 2003, the world was a very different place - the consumer internet was less than 10 years old  and the smartphone was still a novelty. 

The Smart Cube was created as a new kind of business, one that would make sense of the reams of  data being generated. 

Since then it’s been quite a journey. 

A journey that has seen us change the way organisations think about intelligence. A journey that has  put our industry on the map. A journey that is only getting started.  

Our future focus  

We do not exist to help our clients simply fire-fight today. We help them to look ahead and stay  ahead. Our vision is to be the catalyst for organisational intelligence for the world’s leading firms.

  Job Description –Assistant Manager – Data Science  Roles and responsibilities 

  • The Data Scientist is expected to have deep knowledge and skills in Machine Learning , Statistical Modelling and NLP/Computer vision/ Big Data domain, and be responsible for the  solution designing for multiple projects/accounts 
  • Design the solution for Data science (including Big Data) projects – what technique to use,  what tool/technology to use, etc 
  • Scope out the solution in terms of time, effort, team skills needed independently
  • Own the delivery for projects including developing scalable ML models and algorithms and  interpreting the output  
  • Discuss various opportunities with existing and potential clients at a technical level 
  • Lead the effort on developing new capabilities/offerings/solutions across the firm 

Ideal Candidate  

  • Relevant experience of 4-6 years in advanced machine learning, NLP/computer vision  modelling and RL based dynamic optimization across multiple industries  
  • Expert level working knowledge of Python full stack (back-end API creations including Model  pipeline, analysis layer, implementation) 
  • Proficient in the analysis of both structured, unstructured data (text, image, video), and  streaming (sensor) data; 
  • Working knowledge of deep learning; experience of having executed very large neural  network based solutions 
  • Atleast 2+ years of Big Data experience including managing a Spark/HDFS based project
  • Business domain and solutions knowledge of multiple industries, especially Retail, CPG,  Telecom, etc. 
  • Atleast 2+ Years of using cloud (AWS/Azure/GCP) based Data science solutions 
  • Good knowledge of various data visualization tools, especially open source such as D3, Gephi
  • Excellent communication and client engagement skills 
  • Team management experience is a plus
  • Master’s Degree in Computer Science / Mathematical Computing / Statistics / Operations  Research/ Bachelor degree in Engineering 
Minimum Qualification:

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