Data Scientist

About the Role

Key Responsibilities

• Apply data mining, data modeling, statistics, graph algorithms and machine learning to extract and analyze information from large structured and unstructured datasets to support analytics objectives.
• Visualize, interpret, and report data findings in dynamic data reports.
• Employ a variety of data manipulation and visualization tools to best convey information/results to customers.
• Support the design, development, testing and implementation of web-based collaboration tools & platforms for data reporting.
• Plan and conduct software integration or testing, including analyzing and implementing test plans and scripts, in support of analytics objectives.
• Demonstrate proficiency with frequent scripting language use, such as Python (primary) or R and using packages commonly used in data science applications or advanced analytics such as SQL.
• Be familiar with Kubernetes clusters and utilization of tools such as Prometheus or similar.
• Conduct exploratory data analysis for testing hypotheses.
• Utilize tools such as Microsoft's Power BI, Tableau, and other toolsets to visualize data.

Requirements

• Proficiency with data mining, data modeling, statistics, graph algorithms, and machine learning techniques.
• Experience working with large datasets in various formats including Excel, CSV, JSON, XML.
• Ability to develop and implement data analytics techniques and applications.
• Experience with scripting languages such as Python or R, and SQL.
• Familiarity with web-based collaboration tools and platforms for data reporting.
• Knowledge of Kubernetes clusters and tools like Prometheus.
• Ability to conduct exploratory data analysis and test hypotheses.
• Experience with data visualization tools such as Power BI and Tableau.

Nice to Have

• Experience with data-oriented programming languages.
• Experience with advanced analytics packages.
• Knowledge of software testing and integration processes.