Data Scientist
Tata Cliq
Ex. Core data science experience of minimum 4 years
Full Time
Bangalore,India
Job Description
About the job
Tata CLiQ is the flagship digital commerce initiative of the Tata Group. It is a multi-category e-commerce platform, operating across categories such as Fashion, Footwear and Accessories, Electronics, and Luxury. It has a unique omnichannel marketplace model offering customers the convenience of quicker delivery (by shipping from store), easy pick-up and returns, across 1,200+ brands and 1,000 stores in 100+ Indian towns and cities. It is also Indias definitive destination for exclusive Fashion and Electronics brands.
At CLiQ:
• We obsess over customer delight.
• We are out there to find an alternate way of doing e-commerce.
• We carry an attitude to develop a culture of learning and continuous improvement, both for people and processes.
• We believe in Uncomfortable Transparency.
• We will always be respectful, empathetic, and caring about the well-being of our teams.
• we encourage experiments and creativity in Technology.
• We develop and use technology to enhance day-to-day life and have a positive impact on customers.
• We encourage experiments and creativity in Technology.
We are committed to strengthening diversity, equity, and inclusion at the workplace through an enabling environment, supportive work-life policies for employees, and a culture that welcomes differences and creates a sense of belonging. We strive to create a work environment where all employees can develop and grow to achieve their full potential. We are an equal opportunity employer and are committed to maintaining respect and dignity for allâ€
Overview-
As a data scientist you will be expected to have the scientific rigor to create high impact by working on areas that are most challenging and will change the way we do business. You will be expected to publish and engage with the data science and academic community in the country. Our cross-functional stakeholders spanning marketing, category rely on us to deliver their targets. This means they trust on us to build stuff most perfectly. 
Responsibilities
· Understanding the business challenges & opportunities and identifying Data Science and Machine Learning (DS/ML) use-cases
· Working on solving some of the complex ecommerce use-cases around search, product relevance, personalization, fraud, and recommendations
· Working on state of art methodologies and developing recommendation engine frameworks, designing NLP/NLG Modules, and/or building computer vision models
· Developing Supervised and Unsupervised DS/ML Models, converting the overall pipelines to production ready state and supporting the deployment
· Presenting the DS/ML Model results and insights to key business stakeholders and articulating the business impact
· Involve in the end-to-end data science/machine learning project life cycle - hypothesizing the data requirements, sourcing the data, preparing data, performing feature engineering, creating insights, developing models, and summarizing the insights/models
Skills and Qualifications
· At least 5 Years of ML/DS experience
· Hands on experience in NLP/NLG, Recommendation Engine or Computer Vision Algorithms & Frameworks
· Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
· Experience using Python, Pyspark, Redshift, EMR and scaling models in production. Excellence in at least one of these is highly desirable.
· Great communication & problem-solving skills
· Prefer experience with NoSQL databases, such as MongoDB, Cassandra, HBase 
· Good, applied statistics skills, such as distributions, statistical testing, regression, etc.
· Data-oriented personality
· Scrappy and can work well with data engineers and in case of low data engineering bandwidth can set her / his own pipelines
Qualifications
1. B-Tech from Tier 1 engineering college 
2. E-commerce experience preferred
3. Strong preference for a candidate with an experience to work across cross functional teams
4. MA Economics / MSQE / M Stats from DSE / ISI
5. 5 - 8 years’ work experience in related field (i.e. e-commerce, consulting) is preferred. Core data science experience of minimum 4 years is an absolute must
The opportunities we have are perfect for highly motivated and talented candidates.
We are looking for candidates who have a strong passion for customers, a high level of comfort with uncomfortable transparency, and a keen sense of ownership and drive to deliver results.
So QUiQ - PiQ – CliQ before the opportunity is missed.
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