Description -

Job Summary
• This role is responsible for conducting advanced analytics to generate breakthrough insights enabling critical business decision making. The role works on building, testing, and improving medium complexity analytics models involving descriptive, diagnostic and predictive statistics. The role combines knowledge of data mining, statistical modelling, mathematics, econometrics, advanced concepts and ability to utilize big data to generate actionable business insights. The role is involved in identifying or setting up new data sources, and cleaning/organizing data.

Responsibilities
• Works with the team to mine data using modern tools and programming languages.
• Develops algorithms, performs small scale experimentation, builds data driven applications to translate data into intelligence, and develops solutions for solving business problems.
• Incorporates predictive modeling, statistics and other analysis techniques for collecting, exploring, interpreting and extracting insights from structured and unstructured data.
• Supports the implementation of models to uncover patterns and predictions creating business value and innovation.
• Works with the team to create stories with the data using visualization tools/methods.
• Assures accuracy, integrity, and compliance of cleansed data.
• Works with project team to understand problem statements, initiatives and directions from business.
• Maintains proficiency within the data science domain by keeping up with technology and trend shifts.
• Collaborates and communicates with project team regarding project progress and issue resolution.
• Supports priority projects with direction, maintaining relationships with internal stakeholders and sharing information via standardized reports.

Education & Experience Recommended
• Four-year Degree in Mathematics, Statistics, Economics, Computer Science, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.
• Typically has 1-2 years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field.

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 own work and acts as a team member by providing information, analysis, and recommendations in support of team efforts.

Complexity
• Learns to apply basic theories and concepts to work tasks.

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.
 

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Equal Opportunity Employer (EEO) - 

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).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal"