The Data Scientist is responsible for collecting, analyzing, and interpreting large datasets to help organizations make data-driven decisions, solve challenging problems and drive data innovation.
Requirements
- Expertise in designing multi-cloud or hybrid data ecosystems.
- 5+ years’ experience using Java, JavaScript, Python, R or SQL
- Experience with business intelligence and data analytics tools such as PowerBI
- Familiarity with machine learning techniques and when they should be used
- Familiarity with statistical and data mining techniques and when it is appropriate to use them
- Experience with AI-driven data architecture and advanced analytics solutions.
- Proficiency in cloud-native database management and DevOps practices.
Responsibilities
- Identify and mine reliable internal and external data sources
- Design custom tools to optimize data mining, cleaning, validation and analysis tasks
- Develop and apply custom data models and algorithms to data sets
- Develop tools and testing models to ensure data accuracy
- Create and present reports that detail your findings, recommendations and solutions
- Identifying relevant data sources, collecting, cleaning, processing, and transforming raw data into a usable format.
- Investigating datasets to uncover patterns, trends, relationships, and anomalies.
Other
- Collaborate with colleagues in other departments to improve business outcomes
- Collegiality: building strong relationships on company-wide, approachable, and helpful, ability to mentor and support team growth.
- Initiative: readiness to lead or take action to achieve goals.
- Communicative: ability to relay issues, concepts, and ideas to others easily orally and in writing.
- Member-focused: going above and beyond to make our members feel seen, valued, and appreciated.
