Fractal Analytics - Data Scientist - Cuddle.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

- Good to have experience of working in on one or more domains:

CPG : pricing and promotion analytics, marketing analytics, trade promotions, supply chain management

BFSI : cross-sell, up-sell, campaign analytics, treasury analytics, fraud detection

Healthcare: medical adherence, medical risk profiling, EHR data, fraud-waste-abuse

- 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.