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Job Title: Head of Data Science and Data Engineering

Company: Globally established Fintech

Corporate Title: VP/ Director Salary Range: Generous Package
Location: Singapore Date Open: Oct 2018

Responsibilities / Duties:

The company is currently seeking a talented individual as Head of Data Science & Data Engineering based in Singapore with experience supporting a global company to build and lead our Data Science department.

The Data Science department is focusing on the creation of new data sciences capabilities for the business by envisioning and executing strategies that will influence improvement of the business’s performance by enabling informed decision making.

As Head of Data Science you will proactively work with business executives and various departmental heads across the business in order to provide advanced analytic data modeling systems. You will have to design and launch innovative and complex analytic models, utilizing a blend of contemporary and traditional data mining techniques on both structured and unstructured data sets. You will lead the development of big data capabilities and utilization as well as the coordination of cross-functional analytic initiatives.

A career with the company provides invaluable experience in an exciting and rapidly expanding market and an opportunity to be part of a truly global company with 7 offices worldwide and a workforce that includes over 50 different nationalities.

 Key Role Responsibilities

  • As the leader role of a newly created department, you will have the opportunity to build up a self-sufficient data engineering and data science team
  • Manage the data science team and oversee all activities ensuring alignment with departmental and business-wide vision and strategies
  • Develop and design the departmental vision, capabilities, infrastructure, and quarterly/annual roadmap for the launch of data sciences capabilities
  • Create additional value for the business through the utilization of its data assets and analytics
  • Identify and monitor key business risks and realize the data needs of the business
  • Drive education and evangelization of data sciences throughout the business by communicating the vision and use cases of advanced analytics
  • Improve the business’s data analysis model, create industry-leading performance through the leveraging of new and creative data-sources, and employ the latest in machine learning in the department
  • Scope, design, and implement machine-learning models to support the business’s numerous initiatives and programs with a view of achieving overall objectives and targets
  • Create big data applications through the utilization of structured and unstructured data, designing optimal data architecture, and experimenting on new machine learning techniques
  • Run A/B tests in order to evaluate changes in the business’s products and services
  • Track the business’s performance against data analysis model and monitor trends in key business KPIs, providing valuable insights to relevant departments for overall business performance improvement

Requirements / Qualifications:

  • 5+ years of strong team leadership including people management and project management
  • Master’s degree in Statistics, Machine Learning, Mathematics, Computer Science, Economics, or any other related quantitative field
  • 7+ years of working experience in a data science position, preferably working as a Senior Data Scientist.
  • Proven and successful experience track record of leading high-performing data analyst teams leading through the successful performance of advanced quantitative analyses and statistical modeling that positively impact business performance.
  • Experience and expertise with probability and statistics, inclusive of machine learning, experimental design, and optimization
  • Highly proficient and experienced in scripting languages and have rapid prototyping skills, that is, fluency in SQL, Python, Perl, among others.
  • Highly skilled in statistical and modeling packages such as SAS, Statistica, Matlab, R, visualization and other advanced analysis tools; and familiar with motion-tracking data and time-series analyses
  • Experience with ML frameworks and tools such as TensorFlow, Keras, Caffe, MxNet, Spark, Hadoop, R, pandas
  • Experience using cloud services like Amazon and/or Azure a major plus.
  • Team-builder, result-oriented, proactive and self-driven requiring minimal supervision
  • Creative and strategic thinker, innovative problem-solving skills, highly organized, with the ability to handle multiple simultaneous tasks, prioritize and meet tight deadlines

About Us

The company operates a leading global digital value services network offering safe, reliable and more accessible mobile value services for emerging markets. Our B2B cross-border network interconnects and provides mobile operators, money transfer operators, retailers, distributors, NGOs and corporates with unparalleled infrastructure and reach to offer solutions that better connect loved ones across borders.