Data Scientist
1 day ago
About AppLogic Networks
AppLogic Networks, the App QoE company, helps network service providers deliver highest quality experience to consumers and enterprises. The company develops best-in-class solutions that analyze, optimize and monetize OTT application traffic going through the networks. With contextual machine learning-based insights and real-time actions, AppLogic Networks has become a global leader in Application Quality of Experience (QoE). As part of this innovative and exciting company, you will drive innovation in app-driven cloud and hybrid solutions designed to accelerate time-to-value across network planning, engineering and operations. Join the team and contribute to what makes AppLogic Networks unique in the market: superior App QoE
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 AppLogic. 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.
AppLogic 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 AppLogic Global Talent Acquisition Team
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