National Capital RegionResponsibilities : Responsible for providing professional data, analytics, predictive modeling, and data visualization counsel toclients.
Help clients understand, interpret and analyze massive data sets. Creatively apply data science tooffer clients alternative approaches and solutions.
Advise senior management in clear language about the implications of their work and discovered insights forthe organisation.
Display and visualize processed information so its value can be understood. Extract information from largedatasets and present something of value to clients.
Apply exploratory or predictive analytics to solve business problems. Perform data modeling. Implement and test data modeling designs.
Use advanced math and statisticsexpertise using massive (beyond 500GB) of data. Use modern data analytical techniques working withinformation retrieval, machine learning, matrix and graph algorithms, unsupervised clustering & data miningto solve business problems.
Must be able to apply advanced analytics, predictive modeling, and data visualization skills to differentbusiness situations.
Ability to work with big datasets with minimal engineering support. Demonstrateanalytical and problem solving skills, particularly those that apply to a Big Data environment.
Ability to integrate research and best practices into problem avoidance and continuous improvement.Exercise independent judgment in methods, techniques and evaluation criteria for obtaining results.
Personality Traits They need to be very curious people, who enjoy diving deep into the material to find an answer to a yetunknown question.
They need to have a natural desire to go beneath the surface of a problem. They need to be thinkers who can ask the right (business) questions.
They need to be confident and self-secure as they more often then not will have to deal with situationswhere there is a lot unknown.
They need to be patient as finding the unknown in massive data sets will take a lot of time and developingthe algorithm to uncover new insights will often go by trial-
and-error. They need to be able to see examples in totally different industries and be able to plot that on their currentproblem.
For example, the Los Angeles Police department uses an algorithm to predict earthquakes topredict where crimes are likely to happen.
3 Full-Time position(s) available. Candidate must possess at least a Bachelor's / College Degree , Post Graduate Diploma / Master'sDegree, Doctorate (PhD), any field.
Required skill(s) : statistics, algorithm, big data analysis, Object Oriented Programmi. At least 3 year(s) of working experience in the related field is required for this position.
Preferably Supervisor / 5 Yrs & Up Experienced Employees specializing in ActuarialScience / Statistics or equivalent.Data Scientist must be amenable on handling large datas and can manipulate databases