Sr Data Engineer

Responsibilities

• Work with line of business and product leaders to assess needs, define opportunities, and research solutions.
• Learn underlying systems and workflows to understand the business domain.
• Participate in cross-functional teams.
• Prioritize and complete projects in an efficient and effective manner.
• Communicate results to business leaders and non-technical stakeholders.
• Provide insights through data visualizations.
• Share progress within cross-functional teams to ensure team deliverables are met.
• Follow best practices on documenting work.
• Includes code reuse, peer review and knowledge sharing.
• Provide technical guidance and peer review to other team members.
• May have direct or indirect management of other data scientists on the team.
• Provide oversight on data science projects.
• Includes analytical approach, adoption of internal best practices, interpretation of results, and communication to stakeholders.
• Research and implement methodologies to address business objectives.
• Design, document, and execute experiments as projects.
• Write up concise results and conclusions.
• Utilize advanced statistics, modeling, and algorithms to create predictive models and creative analyses.
• Design performance metrics for monitoring models and code that are put into production.
• Lead and perform data extraction, cleansing, and wrangling on diverse data sets from internal and external sources.
• Work with IT department to implement data science code into production applications.
• Travel to internal and external meetings as needed (10-20%).

Qualifications

• 5 years + experience in data-science related field required.
• Bachelor’s degree computer science, statistics, or related field required.
• Master’s Degree a plus.
• 3 years + practical experience with Python, ETL, data processing, SQL and data analytics.
• 1 year + experience managing people in a data science or data analytics role preferred.
• 2 years + experience working in an agile/scrum project framework.
• Understanding of various data structures and common ETL methods/languages used in data transformation.
• Strong analytical and analysis skills.
• Working knowledge of insurance brokerage or sales workflows and systems an asset.
• Experience with Microsoft Azure capabilities a plus.
• Ability to manage multiple and rapidly changing, high visibility priorities and projects.
• Proven ability to manage expectations and outcomes with business leaders.

Benefits

• Salary Range: $125,00- $150,000.
• This is a bonus eligible position with a target incentive of 10%.