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Experience: Intermediate experience in a relevant discipline area is required with a demonstrated track record of analyzing complex business systems and large data sets. Knowledge of the latest technologies and trends in data science is highly preferred and includes: Familiarity analyzing complex business systems, industry requirements, and/or data regulations - Background in processing and managing large data sets - Applied knowledge of big data, open source and third party toolsets - SQL query language - Clustered compute cloud-based implementation experience
Experience in building analytical solutions Intermediate experiences in the following are preferred: - Implementing Big Data platform solutions using open source and third-party tools - Microsoft Azure and/or Amazon Web services environment - Experience in Agile software development - Familiarity with validation and testing of machine learning systems - Familiarity with Continuous Integration and Continuous Delivery (CI/CD) Additional notes Day-to-day, this role involves participating in project meetings, reviewing work completed the previous day, and continuing development efforts through coding. The candidate will collaborate with team members to troubleshoot issues, identify root causes, and resolve bugs to ensure smooth project execution.
Databricks and Python are required, non-negotiable skills for this role, as they are used extensively in daily work. Additionally, experience with the Ray framework is highly preferred, as it is frequently utilized across projects.
The ideal candidate will hold a Master's degree, or a Bachelor's degree accompanied by relevant professional experience. Preferred areas of study include Information Technology, Data Science, or other related data-focused disciplines.
This is a fully remote role, operating Monday through Friday from 8:00 AM to 5:00 PM EST.
Candidate should have relevant experience with the following • Applied machine learning and predictive modeling • Statistical analysis and complex problem solving • Databricks platform proficiency • SQL and Python proficiency • Experience building analytical or ML solutions in cloud or clustered compute environments • Ability to communicate clearly with technical and business stakeholders • Experience working with cross-functional teams and domain experts
In addition, the following would be especially valuable for this engagement: • Experience with the Ray framework strongly preferred. • Understanding of Reliability Engineering domain practices beneficial.
Compétences linguistiques
- English
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