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.

Responsibilities
Leads data mining using modern tools and programming languages.

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.

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.

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.

Preferred Certifications
Programming Language - Python SQL Spark

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)

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

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

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

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.

Job -

Schedule -

Shift -

Travel -

Relocation -

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 HPsEEO Policy or read about your rights as an applicant under the law here: Know Your Rights: Workplace Discrimination is Illegal