Finders SA F

Data Science Manager (BB-31508)

Gefunden in: Xpatjobs CH

Client:A single family office of international and long-standing repute. Joining their digital tech VC fund. A very exciting opportunity for an experienced data science manager with strong programming and machine learning skills. A key and integral position within the company offering a super challenge and a rewarding job for a scientist!
Reporting to the Managing Director, and working closely with the Investment Team, this newly-created role is supporting a growing digital VC fund company in the tech space of a leading family office group of companies Your key responsibilities and tasks will include but not limited to:
  • Design experiments, test hypotheses, and build models
  • Apply advanced statistical and predictive modelling techniques to build, maintain, and improve on multiple realtime decision systems
  • Conduct advanced data analysis and highly complex designs algorithm

  • Business Requirements
  • Lead discovery processes with the investment team to identify the business requirements and the expected outcome
  • Work with and alongside analysts by suggesting other features of interest
  • Model and frame business scenarios that are meaningful and which impact on critical business processes and/or decisions

  • Data Requirements
  • Identify what data is available and relevant, including internal and external data sources, leveraging new data collection processes
  • Make strategic recommendations on data collection, integration and retention requirements incorporating business requirements and knowledge of best practices
  • Collaborates with the fund''s subject matter experts to select the relevant sources of information

  • Analysis
  • Develop innovative and effective approaches to solve the fund company''s analytics problems and communicate results and methodologies
  • Work in iterative processes with the team and validates findings
  • Develop experimental design approaches to validate finding or test hypotheses
  • Validate analysis using scenario modelling
  • Identify/create the appropriate algorithm to discover patterns

  • Qualification and Assurance
  • Assess, with the investment team, opportunities to enhance the qualification and assurance of the information to strengthen the use case
  • Define the validity of the information, how long the information is meaningful, and what other information it is related to

  • Access Management and Control
  • Work with the compliance and IT teams to ensure that the information used is in compliance with the regulatory and security policies in place
  • Qualify where information can be stored or what information, external to the organization, may be used in support of the use cases
  • Utilize patterns and variations in the volume, speed and other characteristics of data supporting the needs, the type of data (e.g., images, text, ) in predictive analysis

  • Policies, Standards and Procedures
  • Develop usage and access control policies and systems in collaboration with the data owners
  • Partner with the data owners in continuous improvement processes impacting data quality in the context of the specific use cases
  • Recommend ongoing improvements to methods and algorithms that lead to findings, including new information

  • Communications/ Presentations
  • Present and depicts the rationale of the findings in easy to understand terms for the team
  • Present back results that contradict common belief, if needed
  • Communicate and work with the analysts, subject matter experts and organizational leadership

  • Change Advocacy
  • Educate the team both from IT and the business perspectives on new approaches, such as testing hypotheses and statistical validation of results
  • Help the team understand the principles and the maths behind the process to drive organizational buy-in

  • Metrics
  • Provide business metrics to show improvements (contribution to the improvement should be monitored initially and over multiple iterations)
  • Demonstrate the following scientist qualities: clarity, accuracy, precision, relevance, depth, breadth, logic, significance, and fairness

  • Performance
  • Provide on-going tracking and monitoring of performance of decision systems and statistical models

  • Support
  • Leads the design and deployment of enhancements and fixes to systems as needed

  • Profile:
  • Masters in mathematics, statistics or computer science or related field; PhD from an AI lab would be ideal
  • A minimum 5+ years'' relevant practical experience - conceptual aspects (close to the business) as well as quantitative and qualitative research and analytics expertise
  • Solid knowledge of statistica
  • calendar_todayvor 2 Tagen


    location_on Geneva , Geneva, Schweiz

    work Finders SA

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