Lead Data Scientist

Lead Data Scientist

Description -

Job Summary

• 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 brings cutting edge perspective on programming techniques for data exploration, mining, preparation, cleansing, manipulation, modeling and validation. The role explores potential opportunities for improving business outcomes with data analytics and improves productivity by recommending efficient, automated processes for large scale data analyses and model development.

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HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).

Relocation -
Equal Opportunity Employer (EEO) -

Travel -

Shift -
No shift premium (Singapore)

Schedule -
Full time

Job -
Data & Information Technology

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.

Complexity
• Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.

Impact & Scope
• Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.

Cross-Org Skills
• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity

Knowledge & Skills
• Artificial Intelligence
• Big Data
• Data Analysis
• Data Mining
• Data Science
• Data Visualization
• Algorithms
• Amazon Web Services
• Apache Spark
• Computer Science
• 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)

Preferred Certifications
• Programming Language - Python, SQL, Spark

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 8-10 years of work experience, preferably in data analytics, statistical modeling, machine learning, artificial intelligence or a related field.

• Represents the data science team for all phases of larger and more-complex development projects.
• Provides guidance, training and mentoring to less experienced staff members.
• Develops monitoring metrics to reflect real-world model performance and makes recommendations to shape the future direction of models and digital solutions.
• Delivers predictive and prescriptive models of high complexity to surface insights; drives action, defines success measures and tracks performance of models.
• Ties insights into effective visualizations communicating business value and innovation potential.

• Manages relationships with management and business partners to evaluate and foster data driven innovation, provides domain-specific expertise in cross-organization projects/initiatives.
• Leads project team(s) of data science, IT and engineering professionals, assuring insights are communicated regularly and effectively, reviewing designs, models and data compliance.
• Works with development teams and business units to ensure models are scalable and can be implemented as part of the delivered solution.

Responsibilities
• Leads data mining using modern tools and programming languages.