Lead, Data Scientist

Product & Design (Singapore)
Full Time

Some Things To Know Before You Apply

  • We have big plans to disrupt the traditional fundraising process for private businesses
  • You will work with a diverse team of former investment bankers, strategy consultants and business owners in developing innovative funding and growth strategies for clients
  • Everything we do is focused on helping businesses do business, better
  • We work really hard but play really hard as well

Roles & Responsibilities

  • Oversee and lead the development of the Dealtrack (our proprietary data-driven platform for screening and digital management of investments); structure and link databases, formalise and implement data collection systems, data analytics, applying machine learning techniques such as deep learning, reinforced learning, decision tree learning and other techniques to solve complex problems and drive insights pertaining to platform metrics and financial data that we collect in the process of taking on investments, and other strategies that optimise statistical efficiency and quality
    • Lead a team of Data Scientist to interpret data, analyse results using statistical techniques, identify trends and patterns in complex data sets, and provide ongoing deal analytics reports to support investment decisions
    • Contribute to data mining architectures, modelling standards, reporting, and data analysis methodologies
    • Collaborate with unit managers, end users, development staff, and other stakeholders to integrate Dealtrack within existing systems
    • Process, cleanse, and verify the integrity of data used for analysis
    • Identify and define new process optimisation opportunities
  • Provide management updates and key actionable insights regarding customers, markets, and campaign effectiveness, to measure performance and support business decisions for product development and marketing enhancement
    • Implementation and maintenance of web analytics tracking tools (i.e. Adobe Analytics/DTM and Google Analytics/GTM) to aid in collection of web analytics data
    • Able to gather insights from offline and online traffic sources to aid in marketing efforts
    • Retrieval, monitoring, and analysis of all web analytics metrics to gain insights to support the marketing team with testing, decision making and further optimisation
    • Improving the understanding of the customer's web behaviour and optimising the web experience through opportunity identification in tandem with the UX / UI team
  • Leading the CRM system used to collect and track customers on the Fundnel platform
    • Maintenance of CRM tool – internally with the team and externally with vendors
    • Oversee tech implementations for collection of customer data
    • Process, cleanse, and verify the integrity of data used for analysis in CRM tool
    • Extraction of data for KPI reporting and analysis
    • Targeting customers using relevant customer activity/data sources through CRM tool
  • Managerial role overseeing the data science and data management team, including hiring, development and monitoring the performance of the team
  • 3rd party vendor management and integration for various analytics tools used across platforms

Skills & Experience Required

  • 5+ years of experience
  • Strong experience with implementation of marketing analytics, tracking code and tag integration
  • Experience using Adobe Analytics, DTM, Google Analytics, GTM
  • Familiar with A-B / MVT testing
  • Data Visualisation experience
  • Strong analytical skills with the ability to collect, organise, analyse, and disseminate significant amounts of information with attention to detail and accuracy
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Technical expertise regarding data models, database design development, data mining and segmentation
  • Proficiency in Microsoft Office
  • Preference for Candidates with an understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
  • A Diploma or Degree in Mathematics, Economics, Computer Science, Information Management or Statistics

The Ideal Candidate Should Be

  • Interested in dealing with data, including finding and exploring more efficient ways/programs (e.g. machine learning) to collect, store, and analyse data
  • Able to provide thought leadership in web/product analytics
  • Preferably have some understanding of terms in financial statements and financial ratios
  • Part of a product team working across various product domains with a focus on optimization of product through KPI's and metrics

Only successful applicants will be contacted.

Please come prepared for an intensive round of interview.

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