Lead Data Scientist
Company
Apollo GraphQL
Location
USA
Type
Full Time
Job Description
- [Domain] Deep expertise in building the right systems for data analysis, modeling, visualization and prediction, to land optimal business outcomes.
- [Technical Leadership] Expert problem solver, able to balance technical requirements, with human elements, business constraints, and broader project context, to effectively drive trade-offs amidst high ambiguity. Assume hands-on leadership, especially when helping teams set their long-term vision and resolve complex problems through iterative execution.
- [Project management]: Proficient in planning projects, managing requirements across key stakeholders, and ensuring ethical data practices.Â
- [Collaboration]: Working with the executive team, and key cross-functional stakeholders to identify opportunities and implement models to influence the org effectively.Â
- [Communication]: Presenting findings to stakeholders and communicating complex insights to non-technical audiences.
- ~10 years of data science/quantitative modeling experience to solve business and product problems; proficiency in SQL and a computing language such as Python or R
- Strong knowledge and hands-on experience in several of the following areas: machine learning, statistics, optimization, product analytics, causal inference, and/or experimentation
- Demonstrated experience of leading organization-wide initiatives spanning multiple teams, or leveraging deep domain and business expertise to influence tech roadmap planning and execution
- Ability to communicate results clearly with a focus on driving impact
- Demonstrated ability to effectively collaborate across multiple teams and stakeholders to drive business outcomes
- Demonstrated ability to balance execution and velocity with research, statistical depth, and scalable design.
- A builder's mindset with a willingness to question assumptions and conventional wisdom
- May be required to participate in on-call rotation
- Experience designing, running, and analyzing complex experiments or leveraging causal inference designs
- Experience working in Growth on problems like attribution, channel performance optimization, CAC optimization and experimentation.
- Experience with distributed tools such as Spark, Hadoop, etc.
- A PhD or MS in a quantitative field (e.g., Statistics, Engineering, Mathematics, Economics, Quantitative Finance, Sciences, Operations Research)Experience developing and deploying metric frameworks

Date Posted
10/08/2024
Views
0
Similar Jobs
Events Marketing Specialist - Finalsite
Views in the last 30 days - 0
Finalsite a leading community relationship management platform for K12 schools is seeking a highly organized and detailoriented Events Marketing Speci...
View DetailsGroup Product Manager - Demand Generation - HubSpot
Views in the last 30 days - 0
HubSpot is seeking a Group Product Manager for Demand Management to lead the vision and strategy of the internalfacing product group The role involves...
View DetailsNational Strategic Channel Director - Vonage
Views in the last 30 days - 0
Vonage a leading provider of UCaaS and CCaaS is seeking a National Strategic Channel Director to develop and expand channel partnerships drive revenue...
View DetailsMobile Engineering Manager - Mobile Retention - Dropbox
Views in the last 30 days - 0
Dropbox is seeking a Mobile Engineering Manager to lead a team of iOS and Android engineers working on the Dropbox apps The role involves managing cri...
View DetailsCommercial Account Executive - Mid Market - MariaDB plc
Views in the last 30 days - 0
MariaDB is a leading database for modern application development used by 75 of the Fortune 500 and billions of people daily The company is seeking a C...
View DetailsAccount Manager - SMB - Syndigo
Views in the last 30 days - 0
The Syndigo Account Manager SMB role involves managing client relationships creating strategies and ensuring value delivery The individual will work c...
View Details