Zenex Partners
Description
Description: Requisition Status: Pending Status Reason: Pending Sourcing Reason: Staff Vacancy PTO Reason Detail: Manager:
Department: Data Sci - General : 502002
Job Category: Data
Job Code: CW-DAT-CTR:Contractor
Job Title: Data Scientist
Keywords:
Number of Positions: 1
Remaining Positions: 1
Duties: Develop and maintain a comprehensive framework for Earnings Data and Competitive Data Develop and maintain data models and data pipelines to support data collection, analyses and reporting. Gather and process data from multiple sources (internal and external). Engage with stakeholder to provide insights on business performance and metrics. Own recurring data deliverables for management reporting.
Skills: 4+ years experience Strong analytical skills to reason through ambiguous solution spaces Must have SQL proficiency, must have decent Python skills Comfortable interacting with cross functional stakeholders, including senior leadership Strong aptitude to leverage data to drive business decision making
Education:
BA/BS or higher in a quantitative field such as Financial Engineering, Math, Statistics, Physics, or Computer Science. Preferably with =4+ years of relevant experience.
Languages: English Read Write Speak
Attachments:
Duties: Develop and maintain a comprehensive framework for Earnings Data and Competitive Data Develop and maintain data models and data pipelines to support data collection, analyses and reporting. Gather and process data from multiple sources (internal and external). Engage with stakeholder to provide insights on business performance and metrics. Own recurring data deliverables for management reporting.
Skills:4+ years experience Strong analytical skills to reason through ambiguous solution spaces Must have SQL proficiency, must have decent Python skills Comfortable interacting with cross functional stakeholders, including senior leadership Strong aptitude to leverage data to drive business decision making
Education:BA/BS or higher in a quantitative field such as Financial Engineering, Math, Statistics, Physics, or Computer Science. Preferably with =4+ years of relevant experience.
Description: Requisition Status: Pending Status Reason: Pending Sourcing Reason: Staff Vacancy PTO Reason Detail: Manager:
Department: Data Sci - General : 502002
Job Category: Data
Job Code: CW-DAT-CTR:Contractor
Job Title: Data Scientist
Keywords:
Number of Positions: 1
Remaining Positions: 1
Duties: Develop and maintain a comprehensive framework for Earnings Data and Competitive Data Develop and maintain data models and data pipelines to support data collection, analyses and reporting. Gather and process data from multiple sources (internal and external). Engage with stakeholder to provide insights on business performance and metrics. Own recurring data deliverables for management reporting.
Skills: 4+ years experience Strong analytical skills to reason through ambiguous solution spaces Must have SQL proficiency, must have decent Python skills Comfortable interacting with cross functional stakeholders, including senior leadership Strong aptitude to leverage data to drive business decision making
Education:
BA/BS or higher in a quantitative field such as Financial Engineering, Math, Statistics, Physics, or Computer Science. Preferably with =4+ years of relevant experience.
Languages: English Read Write Speak
Attachments:
Duties: Develop and maintain a comprehensive framework for Earnings Data and Competitive Data Develop and maintain data models and data pipelines to support data collection, analyses and reporting. Gather and process data from multiple sources (internal and external). Engage with stakeholder to provide insights on business performance and metrics. Own recurring data deliverables for management reporting.
Skills:4+ years experience Strong analytical skills to reason through ambiguous solution spaces Must have SQL proficiency, must have decent Python skills Comfortable interacting with cross functional stakeholders, including senior leadership Strong aptitude to leverage data to drive business decision making
Education:BA/BS or higher in a quantitative field such as Financial Engineering, Math, Statistics, Physics, or Computer Science. Preferably with =4+ years of relevant experience.