Perform data analytics and quantitative modeling for devices and wireless networks to improve device performance, quality, user quality of experience, and quality of service.
Perform device analytics on device performance, RF performance, device quality, device antenna performance, device readiness etc.
Statistical modelling of wireless network and device QoS/KPI/KQI, user behaviors.
Visualize the analytical results using data visualization tools.
Qualifications:
Education:
Master or PhD Degree (Preferred) or Bachelor in Electrical Engineering, Computer Science, Math, Statistics, etc.
Required Experience:
5+ years experience in Wireless industry required
5+ years machine learning experience in professional role
Must have proven records of papers published in wireless analytics space in IEEE or other effective journals
Master machine learning algorithms including: forecasting, clustering, classification, reinforcement learning, deep learning etc
Data extraction / transformation / loading , text mining, statistical analysis experience is required
5+ years experience with Python, R, Matlab, VBA, Java Scripts.
5+ years experience with Spark, Hadoop, MySQL, MS Excel, VBA, TeraData SQL, MS SQL.
Expertise of system performance fine tuning of the database schema is required
Strong analytical capabilities, creativity and critical thinking required
Good mobile telecommunications industry knowledge, including experience with handset manufacturers, network equipment vendors, and/or chipset vendors
Job Responsibilities: Responsibilities:
Perform data analytics and quantitative modeling for devices and wireless networks to improve device performance, quality, user quality of experience, and quality of service.
Perform device analytics on device performance, RF performance, device quality, device antenna performance, device readiness etc.
Statistical modelling of wireless network and device QoS/KPI/KQI, user behaviors.
Visualize the analytical results using data visualization tools.
Qualifications:
Education:
Master or PhD Degree (Preferred) or Bachelor in Electrical Engineering, Computer Science, Math, Statistics, etc.
What We Offer Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.
Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment - or even abroad in one of our global centers or client facilities!
Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.
Professional Development: Our dedicated Learning Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings.
Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.
Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!
