AS

Data Scientist

asana· 165 open roles

Location TBD On-siteFull-time6 days ago
Salaryest.
$104,000 - $170,000
Experience
Mid
Job Type
Full-time
Posted
6 days ago
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About This Role

The Data Scientist role at Asana involves using data and scientific techniques to design and build scalable solutions to enhance marketing effectiveness. The role requires technical leadership and hands-on mentorship to elevate the team's technical bar and influence overall business strategy. The Data Scientist will drive the technical roadmap for data science and collaborate with marketing leadership and the broader Asana data community. The role is based in the San Francisco office with a hybrid schedule. The Data Scientist will architect, design, and lead the technical execution for the Marketing Data Science roadmap and provide technical guidance to a team of data scientists.

Key ResponsibilitiesAI-extracted

  • 1
    Architect, design, and lead the technical execution for the Marketing Data Science roadmap
  • 2
    Provide hands-on technical mentorship and guidance to a team of data scientists
  • 3
    Develop and standardize MLOps tooling and processes to deploy, monitor, and maintain multiple models in production
  • 4
    Research, prototype, and advocate for emerging capabilities and state-of-the-art models in the marketing data science space
  • 5
    Collaborate with marketing leadership to integrate data science into Asana's business approach

RequirementsAI-extracted

  • Bachelor Degree in Math, Statistics, Computer Science, Engineering, or a related quantitative field, or equivalent experience
  • 4+ years of experience in a data science role, with experience driving the architecture and execution of large-scale production data science projects
  • 3+ years of experience collaborating with Marketing functions on deep technical projects
  • Expert-level knowledge in advanced statistical modeling, causal inference, experimental design and analysis, and machine learning techniques
  • Typically: experience with cloud-based data platforms and data engineering tools

Perks & BenefitsAI-extracted

Typically: health coverage
Typically: paid time off
Mental health, wellness, and fitness benefits
Career coaching and support
Inclusive family building benefits
Long-term savings or retirement plans

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