12 Jan

Tech Professional Eng Data Scientist Pune Jobs Vacancy in Falcon Consulting Private Limited Pune

Tech Professional Eng Data Scientist Pune
Falcon Consulting Private Limited
Pune MH
12 Jan, 2018 30+ days ago

Falcon Consulting Private Limited Pune urgently required following position for Tech Professional Eng Data Scientist Pune. Please read this job advertisement carefully before apply. There are some qualifications, experience and skills requirement that the employers require. Does your career history fit these requirements? Ensure you understand the role you are applying for and that it is suited to your skills and qualifications.

Follow the online directions, complete all the necessary fields, and provide all relevant information so your application is submitted correctly. When you click the 'Apply this Job' button (open in new window) you will be taken to the online application form. Here you will be asked to provide personal and contact details, respond to employment-related questions, and show how you meet the key selection criteria.

Tech Professional Eng Data Scientist Pune Jobs Vacancy in Falcon Consulting Private Limited Pune Jobs Details:

We have an excellent opening for Data Scientist (Tech Professional Eng ) with our reputed MNC Client
Designation : Data Scientist (Tech professional Eng ) Experience: 2-5 years is required Location : Pune Qualification : PhD/ Masters degree in Data Science, Applied Statistics, Applied Mathematics, Operations Research or equivalent strongly preferred; MS/PhD in engineering with emphasis on applied statistics or statistical modeling or MS/PhD in Computer Science or other quantitative disciplines with emphasis in machine learning and database management in unstructured data environment (Hadoop) also considered Gender : Male / Female

Please fill the require details : Years of Exp : Relevant Years of Exp : CTC: Exp CTC: Notice period: Present Location : Native place Ready to relocate to Pune; Reporting To : Skype ID

Job Description :
Statistical programming skills : At least two years experience applying scientific methods in the field of analytics using statistical and mathematical programming packages such as R, Python. Java, Perl, C/C++ or any other programming language is a plus .
Machine learning Expertise in supervised and unsupervised learning using a variety of machine learning algorithms is a must. Candidate should have both theoretical and practical understanding of parametric and non-parametric classification and regression models. Experience analyzing and presenting complex data and proven problem solving abilities is desired.
Feature engineering and Time-Series data analysis Candidate should showcase expertise in engineering new features to improve model prediction/inference. Experience with time-series data is highly desired.
Hadoop Platform Experience with Hadoop, Spark, and Cloud computing ecosystem/platform will be preferred. Experience with Hive, Pig, Scala and MapReduce is desired. Parallel computing experience with Spark is highly desired.
SQL Database/Coding Candidate should be able to write and execute complex queries in SQL.
Visualization software - Advanced skills with TIBCO Spotfire or other visualization platforms are desired.
Good level of proficiency in oral and written communication. Excellent presentation skills.
Excellent time management skills.
Should be a good team player.

Job Responsibility Requirements:
Proficient in using data analytics tools to perform queries and analyses and for defining and correlating data, and skilled at utilizing data visualization platforms to organize and present summarizations, predictive analysis, comparative analysis, dashboards and reporting.
Perform data mining and analytics to support ongoing continuous risk monitoring and risk assessments of operational data to recognize patterns and trends, investigate anomalies, and assess internal control environment.
Experience with the design and implementation of data governance processes; the assessment and remediation of data quality related issues; working with large and complex enterprise data models and large volumes of data.
Utilize data analysis by leveraging various statistical techniques, and predictive modeling to drive and identify indicators of risk.
Drive efficiency by automation of manual auditing processes

Kindly forward your Updated CV in a word format ASAP at Shivani.Johri@falconhr.com

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