Data Scientist Specialist (Analytics and Modeling Specialist)
Siegen HR Solutions, Inc. · Manila, NCR, Philippines ·
- Category
- Data science
- Experience
- 5+ years
Siegen HR Solutions, Inc. · Manila, NCR, Philippines ·
Builds and applies statistical models and machine learning to deliver data-driven insights and solutions for clients across industries like finance, healthcare, and retail.
Overall Purpose:
This is a non-executive position in Analytics as a Service in Manila SDO. This person will report to Operations Analytics as a Service Delivery Lead and to the Manila SDO Lead.
Responsibilities:
This resource will generally be responsible for delivering client value through analytics with the use of statistical techniques.
- Support the delivery of strategic advanced analytics solutions across different industries
- Provide analytics insights and solutions to solve business problems that are specific to client requirements
- Leverage analytics within transformation projects in operations through maturity assessments and one-time analytics projects
- Support operations in fact-based decision making, RCA and strategic initiatives through data analysis, text analysis and statistical modeling.
- Follow multiple approaches for project execution
- Adapt existing assets to Operations use cases
- Explore third-party and open source solutions for speed to execution and for specific use cases
- Engage in fundamental research to develop novel solutions
- Leverage the vast global network of the company for collaboration
- Collaborate with other data scientists, subject matter experts, sales, and delivery teams from company locations around the globe to deliver strategic advanced analytics projects from design to execution.
Skills and Qualifications:
- Master’s or Ph.D.(preferred, not required) degree in Statistics, Mathematics, Computer Science/Engineering,Physics, Engineering, or related scientific disciplines
- Work experience of at least 5 years in relevant industries (Financial Services, Network, Utilities, Health Care, Marketing, Pharma, Retail etc.) – with hands on experience handling data-driven decisions
- Experience in statistical modeling, machine learning, data mining, unstructured data analytics in corporate and/or academic research environments
- Advanced in statistical and other tools/ languages – e.g. R, S-plus, SAS, STATA, Python, C, C++, Java, Scala
- Familiarity with relational databases and intermediate knowledge of SQL
- Proven background in at least one of the following: Reliability models, Markov Models, Stochastic Models, Bayesian Modelling, Classification Models, Cluster Analysis, Neural Network, Non-parametric methods, Multivariate statistics
- Aptitude to learn, think creativity to solve real world business problems, and work in a global collaborative team environment
- Proficient verbal and written communication skills in English