Develop & code production-grade novel algorithms for our business-experimentation platform.
Includes managing, developing, maintaining and marketing the business experimentation suite at Fractal
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 -- especially in the areas of marketing and designing experiments
Involves testing various machine learning and analytical tools, especially in the big data space, to scale prototypes to production-grade systems.
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
A good learner and mentor, who inspires peers and team members to learn and expand their skill set, guiding them in the right direction
QUALIFICATION & EXPERIENCE
5+ years of demonstrable experience designing ML/statistical solutions to complex business problems at scale; developing & testing modular, reusable, efficient and scalable code to implement those solutions
Ideally, this would include the following:
High proficiency in concepts and algorithms used in design of experiments
Experience in machine learning, Python, Statistics, Computer Science, Spark
Proficiency in at least one of R or Python's (preferred) data science stack
Proficient in statistical/ML predictive techniques such as regression, Bayesian methods, tree-based learners, SVM etc
Demonstrable experience of formulating a problem statement and implementing analytical solutions by understanding available data and functional requirements
Thorough grasp on RDBMS and data management concepts as well as fluency in SQL scripting.
Fair understanding of distributed computing in multicore and/or clusters, especially using R/Python.
Operating knowledge of cloud computing platforms (AWS, especially EMR, EC2, S3, and the AWS CLI)
Experience working in an agile setting, familiar with JIRA, enjoys Linux computing environment, and use of command line tools for automating common tasks. Familiarity of version control, GIT helps!
Exposure to big data technologies and distributed computing concepts will be of great advantage
An ideal candidate would have great problem solving skills,the ability & confidence to hack their way out of tight corners.
MS / M.Tech (preferred) or BS / B.Tech. in a field with significant quantitative training such as Statistics, ML, AI, Physics, Mathematics, Economics, Finance etc.