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04/06 Sakshi Tayal
HR lead at Talentiser

Views:2684 Applications:57 Rec. Actions:Recruiter Actions:33

Head - Data Science - eCommerce/Internet (6-10 yrs)

Bangalore Job Code: 705254

Company: Internet/E-commerce

Job Location-: Koramangala, Bangalore

Role-: Head of Data Science

Must have-: Machine Learning, AI, Deep Learning, NLP, Python

Good to Have-: Big Data, Hadoop

Experience-: 6-10 Yrs.

Job Description as below-:

What you- ll be doing:

- Build Machine learning and NLP models to be deployed in the travel e-commerce funnel (selling hotels, flights, holidays, etc.) for improving customer experience and operational efficiency by automating sales and support workflow for internal agents.

- Work with Founder's to translate business problems into machine learning problems

- Explore data and communicate insights clearly to various stakeholders

- Work with Engineering teams to improve data quality

- Analyze experimental results, iterate and refine models to create significant business impact

- Deploy monitor and improve the model in the production system.

- Experience working with cloud platforms like AWS, GCP or Azure and their related ML offerings

What you- ll bring to the team:

- Curiosity to analyze and uncover insights from data that are relevant to the business

- Strong background in building NLP systems using deep neural network techniques

- Understanding in some of the related stuffs below

a) HMM Speech Synthesis Guided Unit Selection, Voice Adaptation,

b) Natural language generation or understanding,

c) Deep learning on NLP / speech for end to end neural TTS technology

d) Speech recognition or speech signal processing

- Fluent with the Python ML stack: Pandas, Numpy, Matplotlib

- Fluent in SQL,NoSQL, Scikit-learn, Keras, Tensorflow

- Computer science background and strong coding skill

- 3+ years of production Machine Learning experience in the industry

- Familiarities with a data lake and big data tools like apache spark is plus

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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