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Manager 2, Data Science

Manager 2, Data Science

San Diego StaffingSan Diego, CA, US
3 days ago
Job type
  • Full-time
Job description

Manager 2, Data Science

We are looking for an experienced and highly-motivated Manager 2, of Data Science to join our Product Analytics team. You will lead a team responsible for developing and utilizing data to drive insights and decisions for our PM function. The ideal candidate must have a strong background in data science, inference, automation and experimentation, be able to communicate effectively with stakeholders, and have a passion for driving data-informed solutions.

Responsibilities :

  • Build and lead a team of analysts and data scientists, providing leadership, direction, and guidance.
  • Develop data-driven insights to drive product decisions and improve business outcomes.
  • Utilize models and develop advanced experimentation methods to measure marketing's impact across our suite of products.
  • Utilize time-series forecasting models to predict growth and set the right growth goals, and develop frameworks to implement marketing attribution models.
  • Design, launch, and analyze experiments to understand the incrementality of novel product features and experiences.
  • Manage operational effectiveness of the data mining, statistical analysis, and predictive modeling programming activities.
  • Partner with cross-functional teams to initiate, lead, or contribute to large-scale / complex strategic projects.
  • Act as a thought partner to senior leaders to prioritize / scope projects, provide recommendations, and evangelize data-driven business decisions in support of strategic goals.
  • Provide technical guidance and mentorship to junior team members on solution design as well as lead code / design reviews.
  • Apply expertise in data mining and data presentation.
  • Partner closely with product teams to make critical decisions about where we invest, understanding the impact of our business, defining key success metrics, and core segmentations.
  • Influence team's roadmap by sharing findings with the rest of the company, and driving and verifying change in our marketing channel spend.

Qualifications :

  • Bachelor's + Master's degree or PhD in Statistics, Mathematics, Computer Science, or related field.
  • 5+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data.
  • Strong background in statistical analysis, programming, and experimentation.
  • Proven ability to apply scientific methods to solve real-world problems on web-scale data.
  • Expertise in at least one scripting language (ideally Python / R), with experience building models in either language.
  • Proficiency in SQL and Hive.
  • Strong business and product sense : delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions.
  • Excellent communication skills : able to lead initiatives across multiple product areas and communicate findings with leadership and product teams.
  • Experience leading key technical projects and substantially influencing the scope and output of others.
  • Experience in querying and manipulating large data sets.
  • Knowledge to translate quantitative findings into actionable insights and influence business decisions.
  • Meaningful time as a data scientist partnering with business functions, ideally with paid marketing teams, and having expertise in analyzing brand campaigns.
  • Ability to draw on experience to identify where data can have the most impact and clearly communicate findings and recommendations to partner teams.
  • Ability to turn ambiguous questions and problems into clear deliverables and insights.
  • Ability to make tradeoffs between speed and accuracy wisely.

    • Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs. Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is : EOE AA M / F / Vet / Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.

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