WE ARE HIRING!
Start Date: ASAP
Nature of Industry: BPO
Career Level: Managerial
Number of Vacancy: 1
Employment Type: Permanent
Work Location: Mandaluyong
Work shift: Dayshift
Salary : Competitive
Compensation Type: Bi-monthly
Submit application to: rennalyn.ortilano@chrsglobal.com
RESPONSIBILITIES:
Use appropriate statistical techniques to develop appropriate analytic solutions for informing customer acquisition and customer retention strategies
Develop appropriate methodology for analyzing and interpreting results from product features A/B testing
Work on multiple analytic projects such as user segmentations, user engagement to purchase funnel analysis, user life time value analysis
Provide data, insights and reporting support to various teams
Drive the collection of new data and the refinement of existing data sources
Prepare data for statistical analysis and machine learning algorithms
Maintain and advance analytic database. Conduct periodic data QA
Working with technical and non-technical customers to design experiments and communicate statistical results
Leading training and informational sessions on statistics
Developing an understanding of key business metrics / KPIs and providing clear, compelling analysis that shapes the direction of our business
QUALIFICATION:
Masters Degree or PhD in a relevant technical field such as Statistics, Math and Computer Science, Mathematics, Economics and Analytics with 7+ years experience in a relevant Data Scientist role post-graduation
Extensive experience solving business problems using quantitative approaches
Comfort with extracting, manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
Experience working with large data sets, familiarity/experience working with distributed computing tools a plus (Map/Reduce, Hadoop, Hive, etc.)
Problem-solving and analytical abilities
Proficiency in any of the statistical software such as R, S-plus, SAS, STATA, python programming etc.
Good verbal and written communication skills and an ability to work in a team environment
Experience in real time analytics asset development & deployment
Experience in Applied Machine learning is an added advantage
Experience in any of the domains:
o Retail
o Consumer Products Marketing
o Network
o Supply Chain
o F&A
o Procurement
o Life Science
o eCommerce
o Banking Finance
o Health Care
o Human Resources
o Digital Marketing
PERKS:
Be part of a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations.
HMO (principal only but you can declare 4 dependents, a portion is being paid by the employer and a portion is paid by the employee)
Leaves (Sick, Vacation, Maternity (4 months), Paternity and Bereavement)
Retirement Plan
Salary Appraisal
Career Growth
Bonuses (13th month and Performance)
Start Date: ASAP
Nature of Industry: BPO
Career Level: Managerial
Number of Vacancy: 1
Employment Type: Permanent
Work Location: Mandaluyong
Work shift: Dayshift
Salary : Competitive
Compensation Type: Bi-monthly
Submit application to: rennalyn.ortilano@chrsglobal.com
RESPONSIBILITIES:
Use appropriate statistical techniques to develop appropriate analytic solutions for informing customer acquisition and customer retention strategies
Develop appropriate methodology for analyzing and interpreting results from product features A/B testing
Work on multiple analytic projects such as user segmentations, user engagement to purchase funnel analysis, user life time value analysis
Provide data, insights and reporting support to various teams
Drive the collection of new data and the refinement of existing data sources
Prepare data for statistical analysis and machine learning algorithms
Maintain and advance analytic database. Conduct periodic data QA
Working with technical and non-technical customers to design experiments and communicate statistical results
Leading training and informational sessions on statistics
Developing an understanding of key business metrics / KPIs and providing clear, compelling analysis that shapes the direction of our business
QUALIFICATION:
Masters Degree or PhD in a relevant technical field such as Statistics, Math and Computer Science, Mathematics, Economics and Analytics with 7+ years experience in a relevant Data Scientist role post-graduation
Extensive experience solving business problems using quantitative approaches
Comfort with extracting, manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources
Experience working with large data sets, familiarity/experience working with distributed computing tools a plus (Map/Reduce, Hadoop, Hive, etc.)
Problem-solving and analytical abilities
Proficiency in any of the statistical software such as R, S-plus, SAS, STATA, python programming etc.
Good verbal and written communication skills and an ability to work in a team environment
Experience in real time analytics asset development & deployment
Experience in Applied Machine learning is an added advantage
Experience in any of the domains:
o Retail
o Consumer Products Marketing
o Network
o Supply Chain
o F&A
o Procurement
o Life Science
o eCommerce
o Banking Finance
o Health Care
o Human Resources
o Digital Marketing
PERKS:
Be part of a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations.
HMO (principal only but you can declare 4 dependents, a portion is being paid by the employer and a portion is paid by the employee)
Leaves (Sick, Vacation, Maternity (4 months), Paternity and Bereavement)
Retirement Plan
Salary Appraisal
Career Growth
Bonuses (13th month and Performance)