Senior Engineer Consultant – AI Science

• Partner with Network Planning, Engineering, and Operations teams to create an Artificial Intelligence roadmap
• Work with data scientists, big data engineers, and software developers to implement and deliver use cases
• Steer applied analytics and create models that drive network cost efficiency, customer experience improvements, network performance optimization, and operational efficiency
• Mine data, extract usable insights, and validate data quality
• Perform exploratory and targeted data analyses using descriptive statistics and other methods
• Identify OKRs and KPIs to continuously test and measure the economic impact of production models
• Partner with the business to align organizational strategy with wider business unit strategic goals
• Collaborate across business partners, EA, and TCC to build predictive and prescriptive models for network-domain problems
• Integrate models with business processes to drive value
• Present results and recommendations to senior management and business users

• Bachelor's degree or four or more years of work experience
• Four or more years of relevant experience, demonstrated through work experience and/or military experience
• Expertise in Python, Spark, and SQL
• Ability to manipulate data and draw insights from large data sets using AI/ML techniques
• Experience developing and deploying machine learning models to production
• Experience with developing scoring models and anomaly detection solutions is preferable
• Experience in the network domain or a learning mindset to go deeper into the network domain
• Master's degree in statistics, mathematics, analytics, engineering, computer science, or another technical and/or financial discipline is preferred
• Experience with large data sets for product and process optimization
• Knowledge of data warehouse and data lake technologies, including Teradata, Hadoop, No
  
  SQL, and graph databases
• Knowledge and experience applying AI/ML or analytical models, including Num Py, Scikit-Learn, Dataproc, Jupyter Notebook, Facebook Prophet, XGBoost, regressions, and classification
• Network expertise, including understanding of 4G/5G technologies, IP networking, and RF/SP engineering tools and principles
• Technical knowledge of improving network system performance, capacity, reliability, and scalability

Demonstrates expertise in Python, Spark, and SQL for data manipulation and analysis, with a strong focus on developing and deploying machine learning models. Possesses knowledge of network technologies and the ability to integrate analytical models into business processes to enhance operational efficiency and customer experience.

• Python Programming
• Machine Learning Model Development
• Data Analysis and Insights Extraction
• Network Domain Expertise
• AI/ML Techniques Application

• Python
• Spark
• SQL
• Machine Learning
• Data Analysis
• Statistical Analysis
• Data Manipulation
• Model Development
• Anomaly Detection
• Predictive Modeling

• Collaboration
• Communication
• Strategic Alignment
• Problem Solving
• Presentation Skills

• Network Performance Optimization
• Operational Efficiency
• 4G/5G Technologies
• IP Networking
• RF/SP Engineering

• Teradata
• Hadoop
• No
  
  SQL
• Graph Databases
• Num Py
• Scikit-Learn
• Dataproc
• Jupyter Notebook
• Facebook Prophet
• XGBoost