Sandvine - Data Scientist - Python/Hadoop (2-4 yrs)

The ideal candidate's favorite words are learning, data, scale, and agility.

You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.

Responsibilities :

- Independently lead data science projects and deliver innovative technical solutions to solve problems and improve business outcomes.

- Lead the design and development of machine learning/statistical models and ensure best performance.

- Work closely with engineers to deploy models in production both in real time and in batch process and systematically track model performance.

- Assist engagement with key business stakeholders in discussion on business strategies and opportunities.

- Build strong working relationships and develop deep partnership with the business.

- Be a subject matter expert on machine learning and predictive modeling.

- Drive technical innovation through active research and applications of new theories, techniques, and technologies.

Qualifications :

- 2+ years applicable experience; management experience required.

- Support-level knowledge of HP Quality Center ALM, UFT, and associated Add-Ins.

- High level understanding of technology infrastructure, security concepts and platforms.

- Understanding of technology infrastructure, security concepts and platforms.

- Knowledge of Windows, Linux, Networking, Load Balancing, Firewalls and Virtual Machines.

- Experience with Python is MUST.

- Experience with Hadoop, Hive, Spark.

- Experience in machine learning and statistical modeling.

- Experience in practicing machine learning and data science in business.

- Quantitative knowledge and skills; extensive training in math, statistics, physical science, engineering, or other relevant fields.

- Experience in leading data science projects and delivering from end to end.

- Experience in data management and data analysis in relational database and in Hadoop.

- Experience with multiple AI/ML Algorithms.

- Strong experience in SQL and database management.