About the role

As an early hire, you’ll be a core member of the team with direct impact in the execution of our strategy. You’ll be working in an extremely fast-paced environment. We are looking for a data scientist to work in partnership with Operations, Product and Engineering to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics, and advanced modeling, to produce insights which directly moves mattilda’s bottom line.

You should also possess good communication and collaboration skills to work with analysts, engineers, and other stakeholders to deliver timely and valuable insights. Expect a data scientist to be an essential member of the data team, working tirelessly to make sure that the right data is available at the right time to support business decisions.

Qualifications:

• Bachelor’s degree in economics, actuary, or related field
• Proven experience as a Data Scientist
• Experience in data mining
• Proven experience in data delivery, ETL (extraction, transformation, and loading), flows, analysis, and programming
• Experience with an excellent understanding of relational and dimensional data modeling
• Experience in one or more of the following DBMS: PostgreSQL, MySQL, MSSQL.
• Strong mathematical, statistical, and analytical skills
• Committed to deadlines, self-organized, customer oriented.
• Excellent communication, collaboration, and teamwork skills.

Responsibilities may vary, but can include:

• Build new analytics and models that improve both our insights and the product directly.
• Act as a strategic partner to functional teams: initiate and execute deep analyses and models to help prioritize opportunities and provide actionable recommendations.
• Measure business performance, develop / refine core metrics and create reporting to understand and monitor them.
• Initiate, develop, and maintain data pipelines and data models with outstanding craftsmanship.
• Develop informative, expressive, and meaningful reports that support business decision-making through provided information.
• Synthesize data learnings into compelling stories and communicate them throughout stakeholders.
• Communicate and subsequently translate resulting outcomes into good technical and coherent data designs.
• Participate and contribute to code reviews.