Data Scientist

About the job

Company Description Qzensys's aggregates the contractual staffing agencies around the Globe to provide solution for contingent workforce requirements. Multiple staffing agencies in a single platform make us biggest contract staffing agency. We provide set of quality contractual resources 10x faster through Crowd staffing solution. **Role Description** This is a part-time, remote contract role for an experienced Data Scientist with 9+ years in the field. The Data Scientist will be responsible for analyzing and interpreting complex datasets, developing models and algorithms, creating insightful visualizations, and providing recommendations based on data-driven findings. They will collaborate with cross-functional teams to solve critical business challenges and support decision-making processes. Interested reach me directly 9703589293. **Qualifications** - M.S. / Ph.D. in Data Science, Applied Mathematics, Operations Research, or Telecommunications Engineering - Experience 5–8 years in network analytics, geospatial analytics, infrastructure planning, or commercial data science **Core Technical:** - Strong skills in Scala or PySpark, Spark DataFrame processing, Python (pandas / numpy), SQL - **Geospatial:** Experience with GIS datasets, GeoPandas / QGIS, gridding / spatial clustering, coverage / footprint analysis - **Financial Modeling:** Strong understanding of ROI / NPV modeling and cost-benefit evaluation - **Domain Knowledge:** Familiarity with telecom KPIs (RSRP, SINR, PRB, ARPU), demand / capacity interplay, radio and / or fiber deployment principles - **Soft Skills:** Clear communication, structured reasoning, ability to interface with - Strong expertise in Data Science and Data Analysis - Proficiency in Statistics and Data Analytics methodologies - Experience with Data Visualization tools and techniques to convey insights effectively - Attention to detail, critical thinking, and problem-solving skills - Ability to work independently and deliver results in a remote and part-time capacity - Master's or higher degree in Data Science, Statistics, Computer Science, or a related field is a plus.

Requirements

• Data Science
• Geospatial Analytics
• Python
• SQL

Qualifications

• M.S. / Ph.D. in Data Science
• 5-8 years in commercial data science

Preferred Technologies

• Data Science
• Geospatial Analytics
• Python
• SQL

About the company

Qzensys aggregates the contractual staffing agencies around the Globe to provide solution for contingent workforce requirements.