Data Scientist, 3+ Years of Experience

Key Skills

A/B Testing, Apache Kafka, Large Language Models - LLMs, Linux Operating system, Natural Language Processing (NLP), Python Programming, R Programming, SQL, Tableau

Job Description

We’re looking for a 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 built, completed, and adopted'

• Collaborate with product managers, engineers, product marketers, and designers

Knowledge, Skills & 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 build visuals, dashboards, and reports to optimally communicate your insights

• Ability to collaborate 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 phenomenal product sense and product understanding

Minimum Qualifications:

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

• 3+ years of experience in quantitative analysis & data science or a related field

• 3+ years of Experience using SQL or similar big data querying languages

• 3+ years of Experience with programming language, such as Python or R

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

Preferred Qualifications:

• 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.

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 at least 80% of the time (an average of 4 days per week). For roles with remote consideration: Remote team members still are expected to travel for mandatory in-person gatherings and to fulfill business needs, at least 4 to 6 times per year.

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. If you have a disability or special need that requires accommodation, please don’t be shy and contact us at accommodations-ext@snap.com.

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. These pay zones may be modified in the future.

Zone A (CA, WA, NYC):

The base salary range for this position is $165,000-$230,000 annually.

Zone B:

The base salary range for this position is $157,000-$219,000 annually.

Zone C:

The base salary range for this position is $140,000-$196,000 annually.

This position is eligible for equity in the form of RSUs.