Executive Summary:

We are working with a US professional services company in business analytics, business applications, cloud, digital marketing, technology and managed services offerings. It operates in more than 18 countries with around 25,000 professionals and revenue of over USD 2 billlions annually. It is expanding in Asia and now actively hiring in its technical team.

As a Lead Data Scientist, you will help clients understand and extract insights and value from their data using sophisticated analytical tools and techniques. Working both independently and as part of a team, you will be involved in all phases of analytics projects including question formulation, design, research and development, implementation, and testing. The Lead Data Scientist should be able to understand the business context of our customers, explore data and build advanced analytical models and then present and converse about these models to any level of audience. The end goal would be to leverage Data Science and relevant tools to solve complex business problems.

Key Responsibilities:

Produce innovative solutions for clients driven by exploratory data analysis from complex and high-dimensional datasets, both structured and unstructured, applying advanced statistical, data mining, and machine-learning techniques.

Apply knowledge of statistics, machine learning, programming, data modeling, simulation, deep learning and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to better business decision making

Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data

Generate and test hypotheses, analyze and interpret the results of product experiments

Communicate data-driven insights and deliver action plans that steer business strategy and decision-making for one or more business segments.

Work with client team to translate prototypes into new products, services, and features and provide guidelines for large-scale implementations

Provide input and guidance on data visualization techniques and opportunities

Work with deal teams to provide subject matter expertise and solutioning support for client proposals and RFPs

Identify new analytics tools and techniques and lead development and deployment of infrastructure for generating and analyzing information

Mentors and manages junior colleagues and team members as required by various workstreams

Major Requirements:

Bachelor Degree holder in statistics, math, operation management of computer science or related

You likely have about 5+ years of demonstrable experience in leveraging Data Science to solve business problems, preferably in a consulting environment. You have 3+ years managing complex teams of business and technical resources.

Highly proficient with two or more predictive analytics tools including R, Revolution R, SAS, SPSS, MATLAB, Power BI, MicroStrategy, and Tableau

Strong knowledge of Python and the library ecosystem

Demonstrable professional experience with data mining, analysis, modeling, of large scale, complex data sets

Highly proficient in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing (A/B testing), deep learning and optimization lgorithms

Highly proficient in at least one high level programming languages such (i.e. S, C++, Python, Julia, and etc.)

Highly proficient in statistical modeling tools and Cognitive analytics like text analytics, image recognition, video analytics etc.

Highly proficient in model identification by use case/industry and knowledge of applying models to enterprise use cases

Able to explain complex analytical methodologies and concepts in non-technical language

Experience with NoSQL databases and tools (i.e. Hadoop, Hive Spark, etc.)

Exceptional written and verbal communication and presentation skills

You likely possess a Master’s or PHD degree in Applied Mathematics, Statistics, Analytics, Operations Research, Economics/Econometrics, Engineering or another relevant quantitative field. An equivalent combination of education and experience will also suffice.

To apply, please send your CV in word document to peter(a)endeavourasia.com or call 3956-1828 for a confidential discussion.