Analytics and Modeling Manager | Data Scientist

Siegen HR Solutions; Mandaluyong; On-site; PHP 1,200,000 - 1,600,000; Full time

Job summary

A leading HR solutions firm in Mandaluyong is seeking an experienced Analytics and Modeling Manager to lead the delivery of strategic advanced analytics solutions. You will provide valuable insights through statistical modeling and collaborate with global teams to tackle business-specific challenges. Ideal candidates will have a Master’s or Ph.D. in a relevant field and significant experience in analytics, with strong skills in tools like R and Python. This role offers opportunities to unleash the potential of analytics in multiple industries.

Qualifications

• 10+ years of experience in relevant industries with hands-on experience in data-driven decisions.
• Expert in statistical and other tools/languages including R and Python.
• Proficient verbal and written communication skills in English.

Responsibilities

• Leads delivery of strategic advanced analytics solutions across industries.
• Provide analytics insights and solutions for business-specific problems.
• Collaborate globally to deliver strategic analytics projects from design to execution.

Skills

Statistical modeling

Machine learning

Data mining

Analytical Skills

Critical Thinking

Problem-Solving Skills

Communication Skills

Education

Master’s or Ph.D. in Statistics, Mathematics, or related field

Tools

Python

R

SAS

STATA

Job description

Analytics and Modeling Manager | Data Scientist

Overview

Analytics: Create new insights from predictive statistical modeling activities that target and deliver value to our clients.

Reports to: Analytics and Modeling Senior Manager

General role description: The function focuses on delivering advanced analytics as a service.

Primary Job Responsibilities

• Leads 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
• 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.
• Build and manage analytics team for at least two towers

Education & Experience Requirements

• Master’s or Ph.D. degree in Statistics, Mathematics, Computer Science, Economics, Physics, Engineering, or related scientific disciplines
• Work experience of at least 10 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
• Expert 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 creatively to solve real world business problems, and work in a global collaborative team environment
• Proficient verbal and written communication skills in English

Nice to Have

• Hands on experience in developing and delivering machine learning models that work in a production setting
• Experience working with large data sets and tools like MapReduce, Hadoop, Hive, etc. and large data streaming technologies like Spark, Flink, etc.
• Experience in any of these domains: Infrastructure Services, Security, Retail, Digital Marketing, eCommerce, Insurance, Supply Chain, Banking, Capital Markets, etc.

Functional Skills Required

• The knowledge and ability required to design, develop and deliver people and process solutions for clients and company. A specific knowledge and ability typically needed to fulfil responsibilities associated with work done and consistent with a talent segment and role.
• Has mastered the following skills:
  • Business Analysis, Requirements Gathering
  • Analytics Solutions Design Skills
  • Stakeholder Management Skills
  • Project Management Skills
  • Story Telling or Communication Skills
  • Critical Thinking and Problem‑Solving Skills

Technical Skills Required

• The knowledge and ability required to design, develop and deliver IT, platform, architecture, software and infrastructure solutions for clients.
• Has advanced technical skills on the ff:
  • Data Visualization and Business Intelligence
  • Data Mining knowledge
  • Data Management
• Has expert technical skills on the ff:
  • Analytical Skills (statistical analysis, data transformation, descriptive/predictive/prescriptive analytics)
  • Modeling and Algorithm Building
  • Analytics Solutions Design
  • Modeling Tools like R and Python

Domain and Industry Specialization

• The knowledge and ability required to influence our clients’ business agenda and generate value in the context of the industries in which they operate.