Job Description

Description :
The Job

• 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.

What Skills You Bring

• BE or ME (or equivalent degree) degree in Engineering or Computer Science.
• 5 to 9 years of experience in Software development.
• 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, Scala, R, C++ or Java.
• Experience with Hadoop, Hive, Spark.
• Experience in machine learning and statistical modeling.
• Experience in practicing machine learning and data science in business.
• 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.
• Strong communication and interpersonal skills.
• Excellent problem solving and critical thinking capabilities.
• Experience with Mutiple AI/ML Algorithms.
• Experience with Kafka.
• Strong experience in SQL and database management.

What You Can Expect From Us

• Flexible working hours, Hybrid work environment (Occasionally, extended hours split shifts may be required).
• Fast-paced office environment.

Thank you for your interest in Sandvine. We will contact you if your skills and experience are a match for the role. Otherwise, we will keep your resume in case there is a match with future opportunities.
Sandvine is committed to supporting a culture of inclusion, diversity and accessibility to employment for all. We are proud to operate as an equal opportunity employer.
The Sandvine Global Talent Acquisition Team