Senior Manager, Data Science
Posted:
Friday, 19 April 2024
Valid Thru:
Sunday, 19 May 2024
Index Requested on:
04/19/2024 14:01:27
Indexed on:
04/19/2024 14:01:27
Location:
Annapolis, MD, 21401, US
Industry:
Advertising and Public Relations
Occupational Category:
13-0000.00 - Business and Financial Operations
Type of Employment: FULL_TIME
The Knot Worldwide is hiring!
Description:
ABOUT THE ROLE AND OUR TEAM: TKWW is looking for a Senior Manager, Data Science who can be the strategic partner and point of contact for all things data for our E-commerce and Planning & guest teams. The manager will be responsible for partnering with leaders across these two zones to drive strategy, as well as partnering with cross-functional stakeholders on our couples and vendor marketplace teams. They will manage a team of data scientists with an emphasis on identifying opportunities and delivering value.
What you will do: - Manage, grow, and mentor a team of data scientists
- Work with product, engineering and design partners to identify problems and opportunities that can be addressed using data science and machine learning approaches. Develop a comprehensive roadmap for analytics and reporting that reflects the strategic vision and business priorities.
- Build analytics offerings, like data-models, and reporting solutions that include all enterprise KPIs, business and operational metrics and key insights that are available for self-service by stakeholders.
- Use A/B testing and causal inference approaches to measure performance of different initiatives and feature launches.
- Communicate data science concepts/insights to both technical and non-technical stakeholders in a clear and concise manner.
- Develop tools and data products that automate manual work, increase operational efficiency, and empower users via self-service
What are we looking for: - 5-7 years of hands-on experience in data science and analytics, including 3+ years of experience in leadership and management.
- Excellent verbal and written communication skills, with ability to translate technical concepts clearly and effectively to audiences of varying technical levels
- Experience in leading org-wide initiatives across multiple teams and strong track record of influencing the organization and driving tangible business impact
- Experience in hypothesis driven product development, with hands-on experience in experimental test design (A/B testing, Counterfactual analysis, causal inference, etc.)
- Strong SQL and Python programming skills
- Strong knowledge of applied statistics
- Preferred experience working at a two-sided marketplace or eCommerce company
- Preferred experience in building data models using etl tools like dbt, looker, etc.
- High-level understanding of data architecture, data pipelines, and database design
- Proficient in data visualization and experience with at least one visualization tool (Tableau, Data studio, Power BI)
Responsibilities:
Please review the job description.
Educational requirements:
Desired Skills:
Please see the job description for required or recommended skills.
Benefits:
Please see the job description for benefits.
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