This role is responsible for analyzing and interpreting complex data sets using statistical techniques to identify trends, patterns, and insights that can be used to form business decisions and improve organizational performance. The role designs and develops methods, processes, and systems to consolidate and analyze unstructured, diverse big data sources to generate actionable insights and solutions. The role develops programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
Responsibilities
Oversees data mining using modern tools and programming languages.
Develops predictive and prescriptive models of moderate complexity to surface insights; drives action, defines success measures and tracks performance of models.
Drives the implementation of models to uncover patterns and predictions creating business value and innovation.
Partners with data engineering teams across multiple business lines to build data pipelines, improve data assets, quality, metrics, and insights.
Creates visualizations and other forms of communication that effectively showcase insights and findings to both technical and non-technical audiences.
Leads a project team of data science professionals and provides guidance, training and mentoring to less experienced staff members.
Collaborates and communicates with project team regarding project progress and issue resolution.
Represents the data science team for all phases of larger and more-complex development projects.
Identifies and recommends improvement upon existing methodologies by developing new data sources, testing model assumptions, and fine-tuning model parameters.
Maintains proficiency within the data science domain by keeping up with technology and trend shifts.
Education & Experience Recommended
Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.
Typically has 4-7 years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field or an advanced degree with 3-5 years of work experience.
Preferred Certifications
Programming Language/s Certification (SQL, Python, or similar)
Knowledge & Skills
Algorithms
Amazon Web Services
Apache Spark
Artificial Intelligence
Big Data
Computer Science
Data Analysis
Data Mining
Data Science
Data Visualization
Deep Learning
Machine Learning
Natural Language Processing
Predictive Modeling
Python (Programming Language)
R (Programming Language)
SQL (Programming Language)
Statistical Modeling
Statistics
Tableau (Business Intelligence Software)
Cross-Org Skills
Effective Communication
Results Orientation
Learning Agility
Digital Fluency
Customer Centricity
Impact & Scope
Impacts multiple teams and may act as a team or project leader providing direction to team activities and facilitates information validation and team decision making process.
Complexity
Responds to moderately complex issues within established guidelines.
Disclaimer
This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
Sustainable impact is HP’s commitment to create positive, lasting change for the planet, its people, and our communities. This serves as a guiding principle for delivering on our corporate vision – to create technology that makes life better for everyone, everywhere
HP is a Human Capital Partner – we commit to human capital development and adopting progressive workplace practices in Singapore.
