Position: Data Scientist and Analyst
Company: Mobilyze
Category: Data Science
Experience required: 5y
English level: fluent

**Job Summary:** 
We are seeking a highly skilled and motivated Data Scientist and Analyst to join our team in the Electric Vehicle (EV) industry. As a Data Scientist and Analyst, you will play a crucial role in analyzing EV-related data, extracting insights, and driving data-informed decision-making. Your work will contribute to understanding market trends, optimizing EV charging stations, and identifying opportunities for growth and innovation.

**Job Responsibilities:** 
Data Analysis and Modeling:
- Apply advanced statistical and machine learning techniques to analyze large datasets related to EV charging stations, EV usage patterns, and market trends. 
- Identify and interpret relevant variables, relationships, and patterns within the data to generate actionable insights. 
- Develop predictive models to forecast EV charging demands, optimize station locations, and improve charging infrastructure efficiency. 
Reporting and Visualization: 
- Create and present comprehensive reports and dashboards to communicate data-driven insights to stakeholders, management, and other teams. 
- Utilize data visualization tools and techniques to effectively present complex data in a clear and visually appealing manner. 
- Collaborate with cross-functional teams to develop interactive data visualizations and interactive tools for monitoring EV charging station performance and market trends. 
Data Collection and Integration: 
- Identify and acquire relevant data sources, including geospatial, telco, and other datasets, to enrich the analysis and provide a comprehensive understanding of the EV industry. 
- Collaborate with data engineering teams to ensure efficient data collection, data integration, and data quality management processes. 
Hypothesis Testing and Experimentation: 
- Analyze business problems and requirements to formulate hypotheses and design experiments. 
- Develop proof of concepts (POCs) to test and validate potential solutions, assess their feasibility, and provide recommendations for implementation. 
Continuous Improvement and Research: 
- Stay up to date with the latest developments in the EV industry, data science, and statistical analysis techniques. 
- Proactively explore new data sources, technologies, and methodologies to enhance data analysis capabilities and improve EV-related insights. 

**Core Skills and Competencies of this role:** 
- Proficiency in Programming Languages in Python and “R”. 
- Data Manipulation and Analysis are mainly/preferred with SQL. 
Statistical Analysis and Machine Learning. 
- Data Visualization (Tableau, Power BI, Matplotlib, and Seaborn). 
- Geospatial Analysis (GIS, ArcGIS, QGIS, or GeoPandas). 
- Data Integration and ETL (Talend, Informatica, or Apache NiFi). 
- Cloud Computing (Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure). 

**Job Requirements:** 
- Excellent communication, and Presentation skills (speaking, reading, and writing). 
- Proven experience as a Data Scientist or Data Analyst, preferably in the EV industry or related domains.
- Strong proficiency in statistical analysis, data modeling, and machine learning techniques.
- Proficiency in programming languages such as Python or R for data manipulation, analysis, and visualization.
- Experience with data visualization tools such as Tableau, Power BI, or matplotlib.
- Familiarity with geospatial data analysis, telco data analysis, and data integration techniques.
- Excellent problem-solving skills and the ability to analyze complex data to derive meaningful insights.
- Strong communication skills with the ability to effectively present technical concepts to both technical and non-technical stakeholders.
- Ability to work collaboratively in cross-functional teams and manage multiple projects with competing priorities.