Data Scientist

What you'll do

• Analyze structured and unstructured data to provide objective answers for client decision-making.
• Develop algorithms and systems using various tools and frameworks to process disparate data points.
• Design, develop, and maintain end-to-end production data pipelines.
• Implement data quality, observability, monitoring, security, and enterprise data governance.
• Apply machine learning and natural language processing methods to analyze complex datasets.
• Gather requirements from business stakeholders and deliver technical presentations to diverse audiences.
• Deploy and support data applications within cloud environments.

What we're looking for

• 3+ years of experience with data exploration, cleaning, analysis, visualization, or mining using Python, R, or SQL.
• 3+ years of experience designing, developing, and maintaining end-to-end production data pipelines.
• Experience implementing data quality, observability, monitoring, data security, and enterprise data governance.
• Experience collaborating with stakeholders, gathering requirements, and delivering technical presentations to diverse audiences.
• Experience analyzing structured and unstructured data using machine learning and natural language processing methods.
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination.
• 2+ years of experience with business analysis processes, translating technical requirements into user stories (preferred).
• 2+ years of experience with Microsoft Azure or other cloud platforms like AWS or GCP (preferred).
• Experience deploying and supporting applications in a cloud environment (preferred).
• Knowledge of Agile development methodologies, DevOps, and DataOPs practices (preferred).
• Master’s degree (preferred).