Performance Assurance Engineer, Data Science

Key Skills

Python Programming, Scala Programming, C++, Java Programming, Machine learning techniques, Data science techniques, SQL, Apache Hadoop, MapReduce, TensorFlow, PyTorch

Job Description

As a Performance Assurance Engineer – Data Science, you will work under the coaching of Senior and Lead engineers to analyze Samsung’s deployed network elements. You will utilize skills to query database to extract data, use skills in Python or R to analyze data such that you can identify 4G/5G network infrastructure issues and build prediction models, ad-hoc tools, and dashboards to communicate your findings with your team and peers

Role and Responsibilities

Specific Responsibilities include:

• 8+ years of professional experience in a role of Data Scientist/Business Analyst involved in developing solutions to solve business problems using large datasets using strong statistical methods.
• Work closely with stakeholders to help build products that help utilize large amount of structured & unstructured data in analyzing network performance.
• Utilize A/B testing and statistical models to build robust mechanism for product & feature performance analysis, for evaluation of new product & SW releases and 3rd party product evaluation.
• Aid in product & feature performance analysis, evaluation of new product & SW releases and 3rd party product evaluation using robust data mining techniques to drive intelligent business decisions.
• Work with the team to proactively define and interpret data/metrics/KPIs, analyze results, and provide insights to determine operational impact, trends and opportunities for all the 4G/5G RAN products.
• Communicate key findings to stakeholders using visualizations and/or other suitable methods.
• Ability to guide team of junior data scientist on the team and provide guidance on the methods to apply for solving business problems and conducting peer reviews
• Excellent verbal and written communication skills to communicate technical concepts, and complex in an easy-to-follow progression
• Able to compile analysis output and findings into a succinct story for technical and non-technical audiences
• Adapt to changes in a dynamic business environment and, support management initiatives

Skills and Qualifications

Background & Competencies Required:

• Graduate/Ph.D. Degree in Computer Science and/or Statistics with background in Wireless telecom will be a definite plus
• Programming experience: Python, Spark, R , SQL, Hive, Javascript, Visual Basic, C++
• Machine learning expertise: GLM Regression (Linear, Logistic, Multinomial), Decision Tree (including Boosted Trees, Random Forest), kMeans/Hierarchical Clustering, Principle Component Analysis, Neural Networks, Bayesian Regression, and Times Series Modeling.
• Experience using data with high-volume (1TB+) & high-dimensionality (500+ variables per schema), especially within a big data framework (HaDoop, Citus)
• Experience performing Data Wrangling, Exploratory Data Analysis (EDA), Correlation Analysis, Statistical Methodologies (distributions, hypothesis testing, confidence intervals) & Significance Testing, A/B Testing.
• Must possess qualities of being curious and eagerness to learn
• Experience with data visualization and ability to quickly grasp statistical methods, and methodologies. Maintain a strong command of current data analytics technology trends, including emerging paradigms and practices
• Demonstrated research and problem solving skills via prior work experience. Experience with wireless infrastructure provider and/or operator is desired
• Technical knowledge of any wireless technology & procedures including CDMA/EVDO/LTE/Volte and/or 5G a plus
• Experience with evaluating service performance trends and proactively defining RAN system performance related issues a plus
• Must have a strong work ethic, integrity and work extremely well in a team environment

Physical/Mental Demands and Working Conditions: The position requires the ability to perform the essential duties and responsibilities in the following environment:

• Excellent interpersonal and communication skills. Must be skilled in developing and maintaining good working relationships with all appropriate levels within and outside the company
• Operate a computer keyboard and view a video display terminal more than 75% of work time in an office work environment
• Frequently works additional hours beyond normal schedule
• Performs work under time schedules and stresses which are normally periodic or cyclical and include time sensitive job stress, fatigue, unpaid over-time, intellectual challenge, constant technical data feedback, language barriers, and project management stress.
• Machines, tools, equipment, and work aids include PC’s, printers, etc. most often associated with office work area equipment