VP of Data

Lumen is a B2C startup that developed a device that produces nutrition and lifestyle recommendations based on scientific metabolic measurements. Using the device we developed, we learn what the main energy of our users is (carbohydrates/fats) and guide them every day anew which habits they should adopt in order to achieve their personal goal - a healthy lifestyle, weight loss, or prevention of diseases related to poor nutrition.

Lumen is looking for a top-notch VP of Data to lead end-to-end analytical projects, inform, influence, support, execute, and drive the data-driven strategy.

Responsibilities:

• Lead and mentor a team of highly skilled and success-driven Data Scientists and Data Analytics.
• Initiate & manage cutting-edge projects from inception to delivery, including developing structured and automated solutions.
• Evaluate and improve business KPIs through data.
• Identify the opportunities most important for growth and lead these initiatives based on supportive data.
• Own internal data in the company, including product and business analytics, end to end, and be responsible for its delivery, infrastructure, accuracy, and integrity.
• Work closely with all the company teams to lead data features of our customer-facing analytics dashboard.
• Lead the analysis of complex datasets to extract valuable insights, trends, patterns, and anomalies that drive strategic decisions.
• Present findings and actionable insights to senior management and cross-functional teams.
• Lead the building and upgrade of existing data infrastructure to cope with performance, scalability, and growth.

What are we looking for:

• 10+ years of practical data experience in big data businesses
• 3+ years of experience managing a Data Analytics and Data Science team.
• Strong understanding of statistics and hands-on experience with SQL, Python, and data visualization tools.
• Excellent analytical skills with experience in querying large, complex data sets.
• Self-learner, multi-tasker, able to work independently, highly organized, proactive, and a problem-solver.
• Master's degree (or higher) in Mathematics, Statistics, Engineering, Computer Science, or any other quantitative field.