Senior Specialist - Data Sciences

Role description

Primary Skills:

• Time Series Forecasting: Applying models like ARIMA, Prophet, or LSTM for month-on-month estimations
• Machine Learning: Building and deploying ML models for forecasting and cost optimization
• Python Programming: For data manipulation, modeling, and automation (Pandas, NumPy, scikit-learn)
• CDN Domain Knowledge: Understanding content delivery networks, traffic patterns, and cost structures
• Power BI: Designing dashboards for CDN usage reporting (regional, brand-level, etc.)
• Data Analysis & Modeling: Statistical analysis, feature engineering, and model evaluation
• Cost Optimization Techniques: Using ML to model and optimize CDN allocation and expenses
• SQL: Querying structured data for reporting and model input

 Secondary Skills

These enhance effectiveness and collaboration but are not strictly mandatory:

• Cloud Platforms: Familiarity with Azure, AWS, or GCP for data storage and compute
• ETL & Data Wrangling: Preparing and transforming data from multiple sources
• Version Control: Using Git for code collaboration and tracking
• Agile Methodologies: Working in sprints, using tools like JIRA or Confluence
• Communication Skills: Explaining technical insights to non-technical stakeholders
• Collaboration Tools: Experience with Teams, Slack, or similar platforms

Skills

Mandatory Skills : Python,C++,Python - Data Science