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Senior Data Scientist

Job Category:

Information Tech

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Job Description and Qualification:

  • Develop & implement models to support Advanced Analytics team strategy and business pillar initiatives and communicate results and impact to business.
  • Develop advanced analytics models in order to maximize ROI, revenue and overall profitability. Calculate model impact/ROI
  • Familiarity with survival models, multivariate analysis, supervised/unsupervised learning in financial and marketing settings, a big advantage
  • Perform needs analysis with business area (understand business problem & generate hypotheses)
  • Explore, generate & source data relevant to the hypothesis (internal, external, 3rd party)
  • Peer review other Data scientists work
  • Implement measurement & documentation framework against all project work
  • Generate insights in such a way that the businesses can clearly understand the quantifiable value.  Enable the business to make clear trade-offs between and among choices, with a reasonable view into the most likely outcomes of each.
  • Turn statistical and computational analysis into user-friendly graphs, charts, and animation. Enable those who aren’t professional data analysts to effectively interpret data.  Ability to communicate results and educate others through reports and presentations
  • Mentor and develop junior data scientists through business and technical knowledge transfer
  • Gain expert knowledge on business and technical knowledge, processes and methods to align the on-shore Advanced Analytics teams
  • Provide thought leadership around analytics methodology, tools, and measurement
  • Innovate & find creative ways to source & leverage data to support modeling efforts, leveraging structured & unstructured data, and big data technologies.
  • Collaborate with internal stakeholders to develop tools and services such as modeling, dashboard development, decision aids and business case analysis to drive innovation, strategic initiatives and recommend solutions.
  • Advanced degree in Statistics, Data Science, Physics, Math, Computer Science, Engineering, Basic Science, or other related discipline (post-grad preferred)
  • Experience.   Minimum of 5 years’ experience in decision-oriented data-driven using a combination of analytics of market or financial domain analytics, supervised and unsupervised modeling approaches. 
  • Performance.  Can effectively apply knowledge in multivariate statistical analysis, machine learning, data analysis and data mining, predictive modeling, cluster analysis, optimization and natural language processing applicable to data models in varying business contexts thereby recommending model products that are timely, aligned with data governance policies, and effective.  
  • Co-creative and Consulting Mindset.  Excited with co-developing products that make a difference with clients.   Familiarity with consulting protocols or frameworks to guide client and project team engagements.    
  • Tools.  Advanced experience in Python/R/Spark/SQL for machine learning and working experience with big data tools such as Hive/Spark Track of record of delivering innovative analytical insights.  Network/Graph Analysis (Neo4J), Data Robot skills an advantage. 
  • Business Context.  Strongly inclined to understand business context of required model and passionate about innovation and continuous improvement for the business.  
  • Excellent Communication Skills.   Understands the value of communication and strives to improve messaging to different stakeholders.  
  • SME Leader.  Open to contribute in research and development documents for internal or external distribution (e.g. peer-reviewed journals)
  • Preferably, with experience in Insurance/Financial Services or e-commerce setting