Fractal Analytics - Data Scientist - Cuddle.ai

About Cuddle.ai:

- Cuddle is an AI-powered, voice-enabled business analysis platform for business users that automatically detects pattern in the enterprise data to alert users on what they need to know before they ask.

- By using Artificial Intelligence, Cuddle is personalized to every user, gets smarter as they use it, and scales effortlessly across all types of enterprise data. It is easy to implement in your cloud environment & even easier to use by your business users, not getting in the way of what they do best - running their business. Cuddle is like having your personal data analyst who knows to answer any of your data questions & run sophisticated analysis even without you asking for it, and as a result, making your everyday decisions smarter.

- Cuddle.ai was incubated by Fractal Analytics - a global leader in AI partnering with 50+ Fortune 500 companies. Our team comprises of Data Scientists, Engineers & Product Designers based in US & India passionate about shaping the future of BI using AI.

About Fractal Analytics:

- As a global analytics firm that helps Fortune 500 companies gain competitive advantage through a deep understanding of consumers and better data-driven decisions, we help deliver insight, innovation and impact through predictive analytics and visual storytelling.

- And, as a place to work, we are a Glassdoor open company, with a focus on learning and growth. We have strictly banned the use of the word - resource and reinforce the value of Respect and Fairness. In fact, we were recently recognized as - India's Best Company to work at in 2017- !

Job Responsibilities

- Ability to understand a problem statement and implement analytical solutions & techniques independently

- Work and collaborate with the project teams to deliver and create value for clients

- Fast learner: ability to learn and pick up a new language/tool/ platform quickly

- Conceptualize, design and deliver high-quality solutions and insightful analysis

- Conduct research and prototyping innovations; data and requirements gathering; solution scoping and architecture; consulting clients and client facing teams on advanced statistical and machine learning problems.

- Provide solutions but not limited to Customer Segmentation & Targeting, Propensity Modeling, Churn Modeling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modeling Response to Incentives, Marketing Mix Optimization, Price Optimization

Qualification & Experience:

Mandatory:

- Intermediate to expert level proficiency in at least one of Java and Python

- Experience of working on a project end-to-end: NLP, problem scoping, data gathering, EDA, visualizations, modeling and insights

- Problem-solving: Ability to break the problem into small problems and think of relevant techniques which can be explored & used to cater to those

- Structured thinking and articulating the algorithms used to internal project teams/ clients in a simplified manner

Preferred:

- Intermediate to expert level proficiency and thorough understanding of at least one of the upcoming technologies like deep learning, NLP, - image processing, recommender systems

- Fair understanding of distributed computing in multicore and/or clusters, especially using R/Python

- Experience in participation at global analytics contests like Kaggle

- Experience working within a Linux computing environment and use of command line tools

- Ability to work in a team in an agile setting, familiarity with JIRA and clear understanding of how version control software works, especially Git.

- Experience in designing basic UI - JavaScript, CSS, and PHP

- Operating knowledge of cloud computing platforms (AWS, especially EMR, EC2, S3, and the AWS CLI)

- Thorough grasp at data structures including RDBMS, NoSQL, MongoDB etc.

Applicants will be redirected to the careers page where candidate should register in order for their candidature to be taken forward.