Apply: Data Scientist (Optimization)

Reference: BH-159990
  • Public listed organization with global footprint
  • Work with Advanced Analytics, Machine Learning, Artificial Intelligence
  • Good work culture and competitive compensation
 
Responsibilities:
 
  • Translate business problems into a solvable solution architecture using advanced analytics/ML/AI techniques
  • Responsible for implementing fully functional analytics-based/ML/AI/optimization solutions that meet business requirements
  • Exhibit deep and hands-on knowledge in advanced analytics, including knowing how to transform complex data into easily understandable action items within a business context
  • Collect, analyze, screen and manipulate different exogenous/ related data sets required for modelling and support all decision-making process
  • Conduct testing / validation of Machine Learning models, model tuning and parameter optimization
  • Work closely with stakeholders in automating and building appropriate visualizations of model outputs that help in making the right decisions
  • Work with Cloud based Big Data platforms and tools to design and deploy applications in collaboration with a global IT team
  • Exhibit interpersonal /communication skills to communicate effectively
 
Requirements:
  • PhD, Master’s degree in Mathematics, Computer Science, Engineering, Statistics or other related fields
  • Either one of:
    • At least 5 years of experience formulating and solving problems (relating to one / more of portfolio optimization, dispatch optimization & scheduling, trade strategy optimization)  using mathematical optimization algorithms and frameworks, using either open source and/or commercial tools e.g. Cplex, Gurobi, etc. or;
    • At least 5 years of experience as Data Scientist with proven record of building ML / AI models applied to market analysis (e.g. Time-Series Forecasting, Trend Analysis, Anomaly detection, etc.), trading strategies, portfolio optimization, and forecasting, within the energy & utility or a related industry
  • Having expertise in applying fundamental market analysis principles (e.g. Supply and Demand analysis )  is a plus
  • Having a basic understanding of how the commodities and energy markets operate is a plus
  • Experience in implementing scalable solutions using R/Python/Scala/Spark/Hadoop on batch & real-time data and deploying on Cloud platforms using different PAAS services
  • Experience in identifying, accessing and data handling various data sources using a wide variety of tools (API/SQL/Web Scrapping, etc.)
  • Experience of developing and embedding analytical solutions as part of broader IT and business processes
  • Demonstrable experience in delivering end-to-end data science projects collaborating directly with both technical and business stakeholders
  • Experience in formalizing business problems as machine learning solutions and translating into actionable insights and foresights
  • Team player with good interpersonal, communication, and problem-solving skills
  • Able to present complex subjects clearly and coherently to non-domain experts


BeathChapman Pte Ltd
Licence No. 16S8112
Reg No.: R1653400
Company Background:

Ethos BeathChapman is a global group of executive recruitment experts in Asia, Australia and EMEA, with a network beyond. We connect the world's exceptional companies to exceptional people.

Connect with us at www.ethosbc.com

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