Master's University Grad Data Scientist (USA) at Pinterest | CA, US | Rezi

Master's University Grad Data Scientist (USA) at Pinterest

Master's University Grad Data Scientist (USA)

Pinterest · CA, US

1 months ago

Master's University Grad Data Scientist (USA)

Pinterest · CA, US

a month ago
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About the Role

We’re looking for a Data Scientist to help evolve and shape the future of our product by inspiring Pinners, understanding advertisers, and enabling employees to evaluate potential product changes faster. You’ll apply quantitative analysis, statistical techniques, modeling, and data mining while working cross-functionally with engineering and product partners. The results of your work will influence the team roadmap, identify actionable product opportunities, refine our experimentation platform, and drive key initiatives, turning your insights and analyses into real-world products.

Responsibilities

  • Contribute to our product roadmap and mission using data and exploratory analysis to understand user behavior and trends, and identify opportunities for product innovation.
  • Design and implement core metrics that guide team efforts and help design and evaluate A/B experiments that drive these metrics.
  • Explore alternative experimentation techniques to help internal teams evaluate their ideas faster.
  • Build and communicate key insights, and collaborate closely with product managers, engineers, designers, and researchers to help build the next experiences on Pinterest.

Requirements

  • Ability to manipulate large data sets with high dimensionality and complexity.
  • Fluency in SQL and a scripting language (Python or R).
  • Experience solving analytical problems using quantitative approaches including in the fields of Machine Learning, Statistical Modeling, Forecasting, Econometrics or other related fields.
  • Excellent communication skills and the ability to explain learnings to both technical and non-technical partners.
  • Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability.
  • Ability to connect data analysis to real business problems, in order to impact business performance.

Skills

  • Machine Learning
  • Statistical Modeling
  • Forecasting
  • Econometrics
  • SQL
  • Python
  • R

Location

  • Commutable distance from a Pinterest office

Work Type

  • Hybrid

Experience Level

  • Master's degree in statistics, mathematics, economics, applied sciences, computer science or related field.

Education Level

  • Master's degree

Salary/Compensations

  • $124,950—$168,000 USD

Benefits

  • Equity

About the Company

  • Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime.
  • At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
  • Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work.
  • At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact.
  • With more than 640 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers help build personalized experiences to help Pinners create a life they love.
  • At Pinterest, you’ll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won’t find anywhere else.

Equal Opportunity

  • Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit.
  • We want to have the best qualified people in every job.
  • All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws.
  • We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
  • If you require a medical or religious accommodation during the job application process, please complete this form for support.