Data Scientist - KPO

Analytics First Pvt Ltd is a new company providing an end-to-end Customer Experience solution. Our operation in India is critical to our success because the insight we provide our clients will help them act on their customers- feedback and perceptions.

As a Data Scientist at Analytics First, you will develop predictive analytics at the client level and at the industry and geography level. Your insights will be the cornerstone to our becoming the thought leader in the B2B Customer Experience market.

Our value proposition is:

Create a sustainable, predictive and exceptional customer experience that delivers both top and bottom line - world class- performance

Who we are?

- The only end-to-end, global Customer Experience solution that combines best-in-class technology; predictive analytics and experienced experts in your industry and geography

- This comprehensive approach ensures a coordinated view of your customers and the actions you take to address issues and opportunities

What we do?

- We partner with you to find the most effective way to listen to your customers; analyze their feedback; connect that data to other operational and financial data; and then create strategic and operational action plans to address issues and opportunities to grow your business

Why it matters to our customers?

- Differentiate yourself from competition in order to attract new customers and retain / grow current customers

- Every customer touch point is an opportunity to delight or disappoint a customer so knowing what is working and not working for your customers is key to your top line success

- Colleague engagement increases when there is a clear focus on customers and colleagues feel connected with driving this focus each day

How we help customers?

- Clear understanding of what is driving customer delight and revenue growth, and what is not

- Create relevant listening - posts- internally and externally to drive insights

- Build a sustainable action plan to address issues and opportunities linked to colleague goals and compensation

- Provide operational and communication best practices to ensure quick wins can be realized sooner than later

- Share industry and geo benchmarks in order to set relevant and meaningful goals and objectives

Our analytics team will apply predictive analytic techniques on social data, blog data, customer survey data and 3rd party data to build scores, benchmarks and trends that are relevant to our global B2B customers.

Along with our team of data scientists, you'll work with our technology and consulting colleagues to develop best-in-class solutions.

Job Requirements:

- Minimum of 5 years experience in advanced analytics

- Strong background in Predictive Analytics Techniques, Statistics, Machine Learning, Text Analytics (NLP, semantic search, ontology creation) and Information Retrieval,.

- Good programming skills and open source knowledge. Any one of the scripting languages - Ruby/Perl/Python

- Practical and theoretical understanding of classification and regression techniques as well as clustering techniques such as k-Means Clustering, CHAID, Logistic Regression, CART, Neural Networks, SVMs, Decision Trees. Experience in model deployment, application of some of these techniques in Machine learning is preferable.

- Knowledge of linear algebra and dimensionality reduction algorithms such as PCA/FA, Locality Sensitive Hashing, Autoencoders.

- NLP skills which include Language Modelling, POS tagging, Probabilistic Context-Free Grammars (PCFGs), Named Entity Recognition, Co -reference Resolution, Question Answering.

- Proficient in web crawling & data extraction. Data can be in the form of reviews, blogs, product catalogs, social sites, travel data, and real-time tweets from Twitter. Comfortable working with APIs

- Some experience working with large datasets, preferably using tools like Hadoop, MapReduce, Pig, Spark, Storm or Hive

- Critical thinking: ability to track down complex data and engineering issues, evaluate different algorithmic approaches, and analyze data to solve problems

- Creativity: you can conceive of new data-driven products, features, and technologies

- Results: you prioritize, focusing on ideas and features that will have significant, measurable impact

- Planning & estimation: ability to set and meet your own project objectives & milestones

- Ability to coordinate effectively with team members in engineering, design, and product management

- Communicate results and progress internally and externally in meetings, presentations, and tech talks

- Masters, Ph.D., or equivalent experience in a quantitative field (computer science, information science, mathematics, statistics, operations research, econometrics, bioinformatics, physics, etc.)