Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and it's AR glasses, Spectacles.

We are looking for a Data Scientist to join the AR Enterprise Services (ARES) data team in Berlin!

At ARES Data team, we build a Data platform and high quality accessible Analytic & Insights tools that provide trustworthy reliable data, drive the decision making process in ARES, and empower ML capabilities and needs of the Shopping Suite Features.

As a member of the ARES Data team and an experienced data science leader, you will accompany our products during its entire life cycle and autonomously derive and communicate actionable insights to senior leadership, product teams, and all stakeholders. You will guide and drive the decision making process of product roll out and performance optimizations, and solve critical business problems. You understand the data value chain and contribute to improvements with respect to tracking or other data production systems.

Job Responsibilities (“What you’ll do:”)

• Apply your expertise in quantitative analysis, data mining, and statistical modeling to translate data into objective and actionable insights that enable timely informed business and product decisions in ARES

• Collaborate closely with leadership and product teams to define and build critical business metrics and KPIs

• Build creative, simple, and intuitive ways of delivering insights to leadership, product, engineering, and client-facing teams

• Think creatively, proactively, and futuristically to identify and size up new opportunities within Snap's long term roadmap for data-scientific contributions

• Understand the operational aspects of your product, including data quality requirements, and use this to participate in incident or hotfix investigation and resolution

• Collaborate closely with engineering teams on defining and prioritizing critical analytical requirements needed for continuous product optimizations

• You proactively drive data literacy and evangelize the highest data standards of excellence across the organization

• Mentor and guide team members, foster a culture of collaboration and develop cross-functional partnerships

Knowledge, Skills, & Abilities

• Extensive knowledge of descriptive, diagnostic, predictive, and prescriptive analyses. Can confidently apply the right tools of analytics and machine learning for advanced trend and outlier detection

• Ability to work with large amounts of data and communicate the results of analyses in a clear and effective manner to leadership and product teams

• Ability to create visuals, dashboards, reports, and data storytelling to effectively communicate your insights

• Experience collaborating with engineers, product managers, data scientists, and other cross-functional teams

• Excellent problem-solving skills and the ability to structure ambiguous business challenges into actionable insights and plans

• Excellent verbal and written communication skills with high attention to detail

• Ability to initiate, drive, and lead projects to completion autonomously

• Record of training and mentoring others inside and outside the team

Minimum Qualifications

• BS/BA degree in statistics, mathematics, economics, computer science, or equivalent years of experience

• A minimum of 6+ years of work experience in analytics & data science or a related field

• Fluency in SQL, and scripting languages such as Python

• Strong experience in data visualization tools and data storytelling

• Experience in AB testing, product optimization, and building data driven product solutions

Preferred Qualifications

• Experience in a product focused role

• Experience in having a leading role in Analytics and Data science teams

At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office at least 80% of the time (an average of 4 days per week).

If you are not based in the same location(s) listed for this role and are open to relocation, we encourage you to apply to take advantage of our generous relocation policy.

Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!