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Fractal Analytics Data Scientist

  • 5-13 yrs
  • Not Disclosed

Job Description

Fractal products is on a mission to humanize enterprise analytics. We are building an analytics product bringing Artificial Intelligence, Big data technologies & AI together to bring intuitive, customized and personal intelligence for companies. To begin with, we are changing the way CPG sales & marketing professionals consume data & analytics.

We are expanding our team in Mumbai Bangalore.

RESPONSIBILITY

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, a good mentor, who inspires peers and team members to learn and expand their skill set, guiding them in the right direction

QUALIFICATIONS & 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

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

EDUCATION

MS M.Tech (preferred) or BS B.Tech. in a field with significant quantitative training such as Statistics, ML, AI, Physics, Mathematics etc.