Role: Data Scientist III
Location: Menlo Park CA (Onsite)
We are seeking a highly experienced Data Science Contractor to join our team and provide essential support for strategic initiatives across the Clients Social ecosystem. This position is ideally suited for a data scientist possessing robust analytical capabilities substantial experience within large-scale data environments and a commitment to generating significant impact through data-driven insights.
Responsibilities:
- Data Analysis & Modeling: Conduct rigorous analysis of complex datasets to identify trends patterns and actionable insights pertinent to Clients ecosystem (products partners platforms and user interactions).
- Metric Development: Design implement and meticulously maintain critical metrics to accurately measure ecosystem health growth and engagement.
- Experimentation: Develop and execute structured experiments to rigorously evaluate new features strategic partnerships and ecosystem strategies.
- Stakeholder Collaboration: Engage closely with cross-functional teams (Product Engineering) to formally define requirements deliver comprehensive insights and inform strategic decision-making.
- Reporting & Visualization: Construct sophisticated dashboards and detailed reports to effectively communicate findings to both technical and non-technical stakeholders.
- Ad Hoc Analysis: Provide timely high-quality analytical responses to urgent business inquiries.
Minimum Qualifications:
- A Bachelors or Masters degree is required in Data Science Statistics Computer Science Economics or a closely related quantitative field.
- A minimum of five (5) years of professional experience in data science analytics or a functionally equivalent role (either contract or full-time employment).
- Demonstrated proficiency in SQL and at least one high-level programming language (e.g. Python R).
- Practical experience utilizing data visualization platforms (e.g. Tableau Unidash Metrics360).
- Exceptional communication skills with the proven ability to articulate and present complex findings with clarity and precision.
- The capacity to operate autonomously and effectively manage competing priorities within a dynamic high-velocity operational environment.
Preferred Qualifications:
- Significant experience working with large-scale data infrastructure within technology or platform ecosystems.
- Familiarity with Clients proprietary internal data tools (e.g. Presto Scuba Hive).
- Previous professional engagement in a contractor or consulting capacity.
- Substantive knowledge of formal experimentation design principles and causal inference methodologies.
Must-Have Skills:
- Advanced Data Analysis & Modeling: Strong proficiency in SQL and at least one programming language (Python R etc.).
- Data Visualization: Experience with tools like Tableau Unidash or Metrics360.
- Communication & Collaboration: Ability to present complex findings clearly and work cross-functionally.
Nice-to-Have Skills:
- Large-Scale Data Experience: Prior work with big data in tech/platform ecosystems.
- Client Internal Tools: Familiarity with Presto Scuba Hive etc.
- Experimentation & Causal Inference: Knowledge of experiment design and causal analysis.
Role: Data Scientist III Location: Menlo Park CA (Onsite) We are seeking a highly experienced Data Science Contractor to join our team and provide essential support for strategic initiatives across the Clients Social ecosystem. This position is ideally suited for a data scientist possessing robust...
Role: Data Scientist III
Location: Menlo Park CA (Onsite)
We are seeking a highly experienced Data Science Contractor to join our team and provide essential support for strategic initiatives across the Clients Social ecosystem. This position is ideally suited for a data scientist possessing robust analytical capabilities substantial experience within large-scale data environments and a commitment to generating significant impact through data-driven insights.
Responsibilities:
- Data Analysis & Modeling: Conduct rigorous analysis of complex datasets to identify trends patterns and actionable insights pertinent to Clients ecosystem (products partners platforms and user interactions).
- Metric Development: Design implement and meticulously maintain critical metrics to accurately measure ecosystem health growth and engagement.
- Experimentation: Develop and execute structured experiments to rigorously evaluate new features strategic partnerships and ecosystem strategies.
- Stakeholder Collaboration: Engage closely with cross-functional teams (Product Engineering) to formally define requirements deliver comprehensive insights and inform strategic decision-making.
- Reporting & Visualization: Construct sophisticated dashboards and detailed reports to effectively communicate findings to both technical and non-technical stakeholders.
- Ad Hoc Analysis: Provide timely high-quality analytical responses to urgent business inquiries.
Minimum Qualifications:
- A Bachelors or Masters degree is required in Data Science Statistics Computer Science Economics or a closely related quantitative field.
- A minimum of five (5) years of professional experience in data science analytics or a functionally equivalent role (either contract or full-time employment).
- Demonstrated proficiency in SQL and at least one high-level programming language (e.g. Python R).
- Practical experience utilizing data visualization platforms (e.g. Tableau Unidash Metrics360).
- Exceptional communication skills with the proven ability to articulate and present complex findings with clarity and precision.
- The capacity to operate autonomously and effectively manage competing priorities within a dynamic high-velocity operational environment.
Preferred Qualifications:
- Significant experience working with large-scale data infrastructure within technology or platform ecosystems.
- Familiarity with Clients proprietary internal data tools (e.g. Presto Scuba Hive).
- Previous professional engagement in a contractor or consulting capacity.
- Substantive knowledge of formal experimentation design principles and causal inference methodologies.
Must-Have Skills:
- Advanced Data Analysis & Modeling: Strong proficiency in SQL and at least one programming language (Python R etc.).
- Data Visualization: Experience with tools like Tableau Unidash or Metrics360.
- Communication & Collaboration: Ability to present complex findings clearly and work cross-functionally.
Nice-to-Have Skills:
- Large-Scale Data Experience: Prior work with big data in tech/platform ecosystems.
- Client Internal Tools: Familiarity with Presto Scuba Hive etc.
- Experimentation & Causal Inference: Knowledge of experiment design and causal analysis.
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