Senior Data Scientist, Product Insights & AI

Snapchat, Inc.

Santa Clarita (CA)

On-site

USD 100,000 - 176,000

Full time

3 days ago
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Benefits offered by this job

Paid parental leave
Comprehensive medical coverage
Emotional and mental health support
Equity in RSUs

Job summary

Snap Inc in Santa Clarita, CA is hiring a Data Scientist to turn massive data into actionable insights that guide product and business decisions. You’ll apply quantitative analysis, data mining, and statistical modeling and collaborate with product managers, engineers, and designers to shape our data-driven roadmap.

The role emphasizes rigorous analytics, scalable data solutions, and responsible use of AI tools to accelerate product learning.

Qualifications

  • Bachelor's degree in a technical field or equivalent practical experience.
  • 1+ year of quantitative analysis and data science experience or relevant internship.
  • Experience with SQL, Python or R, and statistics applied to product analytics.

Responsibilities

  • Apply quantitative analysis, data mining, and statistical modeling to deliver impactful, objective insights for business decisions.
  • Collaborate with product managers, engineers, and designers to shape data-driven roadmaps and metrics.
  • Develop scalable data solutions and dashboards; communicate insights with clear visuals and reports.
  • Leverage AI tools to build efficient data solutions while maintaining statistical integrity.

Skills

SQL
Python
R
Statistics
A/B testing
Machine learning

Education

Bachelor's degree in statistics, CS, or related field

Tools

Spark
Hadoop
Tableau

Job description

Snap Inc in Santa Clarita, CA is hiring a Data Scientist to turn massive data into actionable insights that guide product and business decisions. You’ll apply quantitative analysis, data mining, and statistical modeling and collaborate with product managers, engineers, and designers to shape our data-driven roadmap.

The role emphasizes rigorous analytics, scalable data solutions, and responsible use of AI tools to accelerate product learning.

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