Data Scientist

Data Scientist

Description -

Applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert. Frequently contributes to the development of new ideas and methods. Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors. Leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives. Acts as an expert providing direction and guidance to process improvements and establishing policies. Frequently represents the organization to external customers/clients. Exercises significant independent judgment within broadly defined policies and practices to determine best method for accomplishing work and achieving objectives.

Learn more about HP's global Management levels.

Responsibilities

• Mines data using modern tools and programming languages
• Apply advanced statistical and predictive modeling techniques to build, maintain, and improve decision systems
• Develop innovative and effective approaches to solve analytics problems and communicate results and methodologies
• Defines and implements models to uncover patterns and predictions creating business value and innovation
• Ability to translate business needs to technical requirements, propose and validate solutions
• Manages relationships with business partners to evaluate and foster data driven innovation, provide domain-specific expertise in cross-organization projects/initiatives
• Ties insights into effective visualizations communicating business value and innovation potential.
• Maintains proficiency within the data science domain by keeping up with technology and trend shifts. Contributes to industry data science domain initiatives
• Represents the data science team for all phases of larger and more-complex development projects
• Leads project team(s) of data science professionals, assuring insights are communicated regularly and effectively, reviewing designs, models and accuracy and data compliance.
• Drives the implementation of agreed improvement actions, initiatives, projects agreed with business and management
• Executes and coordinate internal customer requirements management and change management processes
• Proposes corrective action plans to business, management and stakeholders
• Supports quality improvement projects aiming at improving operational excellence and cost efficiency
• Creates a working environment that is conducive to individual growth, high performance, is challenging and rewarding
• Provides guidance, training and mentoring to less experienced staff members

Classification Guidance
The sections below help differentiate between levels to enable consistency.

Education and Experience Required

• Bachelor's, Master's or PHD degree in Mathematics, Economics, Physics, Statistics, Computer Science, or equivalent.
• Typically 6-10 years’ experience including graduate or postgraduate research.

Knowledge and Skills

• Extensive experience using statistics, mathematics, algorithms and programming languages to solve big data challenges
• Fluent in structured and unstructured data, its management, and modern data transformation methodologies
• Ability to define and create complex models to pull valuable insights, predictions and innovation from data
• Effectively and creatively tell stories and create visualizations to describe and communicate data insights
• Python, Numpy, Pandas, Matplot, Sci Kit learn, One or more Deep learning libraries (Keras, Pytorch, Tensorflow etc.)
• Machine Learning algorithms (Decision Trees, Random Forest, Gradient boosting, Naïve Bayes, PCA etc.)
• Deep Learning architectures (ResNet, Inception, VGGNet, CNN, RNN etc.)
• Math (Matrices, Calculus, Linear Algebra, Probability)
• Statistical Techniques (Linear/Logistic regression, Hypothesis testing, forecasting etc.)
• Advanced knowledge of Excel and Access preferred (Arrays, VBA etc.)
• Knowledge of SQL preferred
• Excellent written and verbal communication skills; mastery in English and local language
• Ability to effectively communicate data insights and negotiate options at senior management levels.

Impact/Scope

• Collaborates with peers, junior engineers, data scientists and project team.
• Typically interacts with high- level Individual Contributors, Managers, Directors and Program Core Teams.
• Leads multiple projects requiring data engineering solutions development.
• Drives design innovation.

Complexity

• Moderate to High

Job -

Data & Information Technology

Schedule -

Full time

Shift -

No shift premium (India)

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.

If you’d like more information about HP’s EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law – Supplement