About Fractal Analytics
We believe analytics is critical to deeply connect with consumers, earn customer loyalty, make better
decisions to reduce waste, and ultimately improve lives. Fortune 500 companies partner with Fractal to
build breakthrough analytic solutions, set up analytical centers of excellence, and create a culture of data
We solve problems, operationalize solutions to drive results, and ultimately drive change in organizations
towards fact-based decisioning. We help businesses: (a) Understand, predict and influence consumer
behavior; (b) Improve marketing, pricing, supply chain, risk and claims management; (c) Harmonize data,
visualize information, build dashboards and forecast business performance. For more information:
We are currently hiring “Data Scientists” at Fractal Sciences. Fractal Sciences is the Big Data Management
and Technology arm at Fractal where we are building Proprietary algorithms and analytics consumption
platforms. We are building a team of Data Scientists proficient in designing and developing solutions across
technologies and building algorithms using machine learning techniques.
Explore big data at Fractal Analytics to surface useful trends, signals, and segments.
Build algorithms and related applications to deliver on key strategic data products
Improve methods that we use to create, mine, model, and deliver data to business stakeholders.
Build real-time analytics platform to deliver real-time targeting, optimization and recommendation
Desired Skills & Experience
MS/PhD in Computer Science, Mathematics, Statistics or related field.
Prior experience in machine learning and big dataProven track record of working on complex
Able to execute research projects, and generate practical results and recommendations.
Passion and enthusiasm for creating applications that analyze huge data sets and make actionable
BE/ B.Tech (any discipline) or MS in Statistics/Economics.
HOW TO APPLY
If you are interested, please send your resume with a covering letter to firstname.lastname@example.org and