Full Job Description
What you'll be doing...
Lead a data science and analytics team to create data-driven solutions and insights, applying advanced data science techniques to solve network-related problems, collaborating with other teams across AI&D to build and integrate predictive and prescriptive models that drive value for the business, and working with various business units to ensure that the team's strategy is aligned with broader company goals (20%); Responsible for leading data mining, extraction of valuable insights from large datasets, validation of data quality, and exploratory and targeted data analyses using statistical methods to uncover trends and patterns that can inform business decisions (30%); Lead the development of network models and data products, using network performance data to provide insights for Network Field Engineering and Centralized Planning & Engineering and to build solutions that contribute to a "self-optimizing and healing network" (30%); Identify OKRs and KPIs for various projects to ensure that the economic impact of the models can be continuously measured and validated, and create business cases and translate complex data findings into practical business implications for stakeholders (20%).
What we're looking for...
Bachelor's or foreign equivalent degree in Information Technology, Computer Science, Math, Statistics, Physics, Engineering, Analytics, or a related field, and 8 years of progressive, post-baccalaureate experience in the job offered or as a Data Analyst, Data Engineer or Consultant, Software or Network Engineer, or in a related/similar position. Experience therein to include 8 years in manipulating data and drawing insights from large data sets using Python, PySpark, and SQL (including Pandas and NumPy); 5 years with data mining utilizing Hadoop, Hive, BigQuery, Apache Kafka/Pulsar, Apache Flink, Apache Nifi, Splunk, Omni Sci, and Java; 2 years with mobile network ecosystems including LTE/5G NR and core IP protocols, applying RF and Signal Processing concepts to real-world scenarios, utilizing industry-standard engineering tools for troubleshooting or optimization; and 2 years using AI/ML techniques including statistical modeling, predictive analytics, time series analytics, scikit-learn, XGBoost, Matplotlib, TensorFlow, PyTorch, OpenCV, Keras, AWS SageMaker, GCP Vertex AI, Tableau, and Qlik Sense. Hybrid role, ability to work from home.
Must Reference:Job code SHRADJ-W.
Where you'll be working
In this hybrid role, you'll have a defined work location that includes working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies.
Scheduled Weekly Hours
40
