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Staff Data Scientist, Consumer
Vaga remota de Consumer Data Science com fit claro de localização do candidato.
PublicadaAdicionada recentemente
Países elegíveis2 países aceitos
Sinal de senioridadeLead
Modelo de trabalhoRemoto
Locais aceitos para candidatos
CanadáEstados Unidos
Resumo da vaga
Staff Data Scientist, Consumer
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
Details
- Help build the long term product strategy by identifying opportunities to attract new users, increase engagement, and drive retention
- Influence strategic roadmaps through data-driven insights into user behaviors and needs
- Design metrics that help evaluate the health of the business and the success of our products, including any ETL development needed for consistent and robust analysis
- Drive experimentation from design through execution and analysis to maximize learnings and guide future investment decisions
- Build self-serve tools for product and engineering partners that answer common questions and/or increase data literacy in the organization
- Work cross functionally with product, engineering, and design teams to ensure insights make it to the product
- Scale your work to other parts of the data organization through mentoring more junior data scientists, improving processes, and providing perspective on the most important problems
- Advanced degree (Master's or Ph.D.) in Statistics, Mathematics, Physics, Economics, or Operations Research
- For M.S. holders: 10+ years of industry experience in applied science or data science roles
- For Ph.D. holders: 6+ years of industry experience in applied science or data science roles
- Expert knowledge of SQL and relational databases
- Familiarity with statistical analysis and the preferred programming languages of the team (R / Python)
- Demonstrated ability to influence and guide product strategy with data
- Demonstrated ability to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
- Familiarity with causal inference techniques and causal models
- Excellent communication and experience working with senior leaders / stakeholders
- Entrepreneurial, self-directed, and enthusiastic about solving problems
- Demonstrated ability to mentor other data scientists and share best practices to elevate the data science practice at Reddit
- Conform in innovative and fast-paced environments, and have a bias toward action.
- Can discuss complex topics with technical and non-technical audiences
- Global Benefit programs that fit your lifestyle, from workspace to professional development to caregiving support
- Family Planning Support
- Gender-Affirming Care
- Mental Health & Coaching Benefits
- Comprehensive Medical Benefits & Health Care Spending Account
- Registered Retirement Savings Plan with matching contributions
- Income Replacement Programs
- Flexible Vacation & Paid Volunteer Time Off
- Generous Paid Parental Leave
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