Ml & Data Analytics Senior Specialist
4 months ago
**What you’ll do**:
**Role purpose**:
- Working across different network operations teams to develop data analytics/ Artificial intelligence solutions for detecting/predicting potential service-impacting problems.
- Build inter-systems integrations between iPredictor and different management systems, and data sources.
- Develop using Python/R, a new data analytics/AI solution that supports different operations teams to prevent service outages.
- Develop new tools/ systems that help predict service failure.
**Key accountabilities and decision ownership**:
- Using Data Analytics and machine and deep learning techniques to solve technical challenges.
- Conduct advanced data analytics, utilizing machine and deep learning techniques to extract valuable insights.
- Develop and implement robust data visualization solutions using Tableau to effectively communicate complex findings to stakeholders.
- Leverage MySQL DB for data storage, retrieval, and optimization of database operations.
- Demonstrate expertise in big data analytics, employing Pyspark and managing Spark clusters to handle vast datasets efficiently.
- Conduct data mining activities to uncover hidden patterns and trends, contributing to strategic decision-making.
- Utilize time series forecasting methodologies to predict future trends and patterns in data.
- Build Predictive monitoring tools using ML & DL to help predict service failure.
- Build integration with Data Alerting systems / Remedy systems to use it for critical insights reporting.
- Provide innovative analytical insights to Identify opportunities to improve the efficiency and quality of the network.
- Responsible for developing and executing tools to monitor and report on data quality.
**Core competencies, knowledge, and experience**
- Excellent usage of ML & Deep Learning algorithms
- Good Usage of data visualization tools (PowerBi-Tableau)
- min. 5 years of experience in data science and analytics.
- Proficiency in advanced analytics, machine learning, and deep learning techniques.
- Strong expertise in data visualization using Tableau.
- Solid knowledge of MySQL DB for efficient database management.
- Experience with big data analytics tools, including Pyspark and Spark clusters.
- Proven skills in data mining and time series forecasting.
- Good knowledge of Linux OS.
- Full Stack web development is a plus.
**Must have technical/ professional qualifications**:
- University degree in communication Engineering | Computer Science
- Certificate in Data Analytics (Nanodegrees at least).
- Certificate in Artificial intelligence (Nanodegree at least).
- Min. 5 years experience in Data Science Related projects.
- Min. 5 years experience in Database Administration (MYSQL is preferred)
- Good at using Linux Bash
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