Snap Inc.
Snap Inc.
5.001 – 10.000 Angajați
ConsultanțăLogisticăMarketing
Snap Inc. este o companie de tehnologie care dezvoltă produse bazate pe cameră pentru comunicare, creativitate și exprimare personală. Activitatea sa se concentrează pe utilizarea tehnologiei vizuale pentru a-i ajuta pe oameni să se conecteze, ținând cont în același timp de efectele mai ample ale produselor digitale asupra sănătății mintale, societății și mediului. Compania pune, de asemenea, accent pe diversitate, echitate și incluziune în cadrul forței sale de muncă, precum și pe design responsabil, guvernanță etică, luarea transparentă a deciziilor și operațiuni responsabile față de mediu.

Data Scientist, Level 3 – Snap Inc. | Los Angeles, Onsite

Join Snap Inc. as a Level 3 Data Scientist, using quantitative analysis, statistical modeling, and AI-enabled tools to turn large datasets into product and business insights. The role develops metrics, models, dashboards, and scalable solutions for Snapchat and other digital products.

Descriere

  • Use quantitative analysis, data mining, and statistical modeling to produce objective, actionable insights
  • Support timely decisions that improve how products are developed, launched, and adopted
  • Partner with product managers, engineers, product marketers, and designers
  • Apply AI tools to build efficient, scalable data solutions while preserving accuracy and statistical rigor
  • Use data modeling to uncover product trends and identify opportunities for new products
  • Create, implement, and monitor core metrics for evaluating product performance
  • Develop visualizations, dashboards, and reports that communicate findings clearly
  • Lead projects from initiation through completion with limited guidance

Cerințe

  • Bachelor’s degree in statistics, mathematics, economics, computer science, engineering, or another relevant technical discipline, or equivalent practical experience
  • At least one year of post-bachelor’s experience in quantitative analysis and data science, or a master’s degree in a technical field
  • At least one year of experience with SQL or a comparable big-data query language
  • At least one year of programming experience in Python, R, or a similar language
  • At least one year applying statistical methods such as inferential analysis, causal analysis, A/B testing, or statistical modeling
  • Experience working with data modeling, product trends, product opportunities, core metrics, dashboards, and reports
  • Ability to work effectively with engineers, product managers, and other cross-functional partners
  • Demonstrated ability to start projects and carry them through completion with minimal direction
  • Strong understanding of Snapchat and sound product judgment
  • Willingness and ability to learn and apply evolving AI systems and tools
  • Advanced degree in applied mathematics, statistics, actuarial science, economics, or a related field preferred
  • Experience in a product-focused role within social media, online advertising, digital media, or mobile technology preferred
  • Experience applying machine learning and statistical analysis to data-driven product solutions or methodological research preferred

Beneficii

  • Paid parental leave
  • Comprehensive medical coverage
  • Emotional and mental health support programs
  • Compensation packages that include equity through restricted stock units
  • Default Together policy with in-office work four or more days per week

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