Senior Data Scientist Level 5

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 operates Snapchat a visual messaging app that enhances your relationships with friends family and the world and Specs Inc. a wholly-owned subsidiary dedicated to making computing more human in addition to Bitmoji Saturn and other digital services.

The Data Science and Insights team seeks to leverage our massive data sets into actionable insights that deliver business value. As truth seekers and truth tellers we relay what the data says without bias even when inconvenient or difficult. We aim to improve decision-making quality and speed across the organization to enable a deeper understanding of our customers and products. We focus on efficient and effective analytic execution positioning ourselves as the go-to experts with deep knowledge and expertise constantly striving for better faster insights from data.

We’re looking for a Senior Data Scientist to join Snap Inc.!

What you’ll do:

• Apply your expertise in quantitative analysis data mining and statistical modeling to deliver impactful objective and actionable data insights that enable informed business and product decisions

• Drive informed and timely decision-making that improves and optimizes the way our products are created executed and adopted'

• Collaborate with product managers engineers product marketers and designers

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

• Conduct machine learning or statistical analyses and build pragmatic scalable and statistically rigorous solutions to deliver actionable insights accurate predictions and effective optimizations

• Communicate best practices in quantitative analysis and develop cross-functional partnerships

• Utilize AI tools and high-velocity analytical workflows to develop scalable data solutions generate actionable insights and accelerate decision-making while maintaining rigorous standards for accuracy methodological integrity data quality and operational excellence.

Knowledge Skills and Abilities:

• Expertise using data modeling skills to identify key product trends and new product opportunities

• Ability to design implement and track core metrics to analyze the performance of our products

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

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

• Ability to initiate and drive projects to completion with minimal guidance

• An understanding of Snapchat with great product sense and product understanding

• Ability to communicate complex quantitative analysis in a clear precise and actionable manner

• Adaptability in learning and applying evolving AI systems and tools to remain at the forefront of data-driven decision-making insights generation and industry best practices.

Minimum Qualifications:

• Bachelor's Degree in a relevant technical field such as statistics mathematics economics computer science engineering or related field or equivalent years of practical work experience

• 5+ years of post-Bachelor’s quantitative analysis and data science experience ; or a Master’s degree in a technical field + 4+ years of post-grad quantitative analysis and data science experience; or a PhD in a related technical field + 1+ years of post-grad  quantitative analysis and data science experience

Preferred Qualifications:

• 5+ years of experience using SQL or similar big data querying languages

• 5+ years of experience with programming language such as Python or R

• 5+ years of experience with applied statistical techniques such as inferential methods causal methods A/B testing or statistical modeling techniques

• Advanced degree in applied mathematics statistics actuarial science economics or related field

• Experience in a product-focused role at a social media online advertising digital media and/or mobile technology company

• Experience using machine learning and statistical analysis for building data-driven product solutions or performing methodological research.

If you have a disability or special need that requires accommodation please don’t be shy and provide us some information.

"Default Together" Policy at Snap: 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 4+ days per week. 

At Snap we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer and committed to providing employment opportunities regardless of race religious creed color national origin ancestry physical disability mental disability medical condition genetic information marital status sex gender gender identity gender expression pregnancy childbirth and breastfeeding age sexual orientation military or veteran status or any other protected classification in accordance with applicable federal state and local laws. EOE including disability/vets.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring where applicable).

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!

Compensation

In the United States work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills experience qualifications work location and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.

Zone A (CA WA NYC):

Zone B:

Zone C:

How does Snap Inc. ensure its pay and bonus plans are competitive?

What We Do

We contribute to human progress by empowering people to express themselves live in the moment learn about the world and have fun together.

Gallery