Expert Data Scientist

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job 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. May provide mentoring and guidance to lower level employees.

Learn more about HP's global Management levels.

What a Expert Data Scientist does in HP.

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

Individuals who do well in this role at HP, usually possess:

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.

We are the global Finance analytics team, located primarily in Houston, TX and Bangalore, India. We design, develop and deploy production solutions to facilitate various Finance, Accounting, Planning, and Business Operations inside of HP. Our team has a mixture of disciplines ranging from Statisticians, Economists, Finance, Engineers, Front-end, Back-end, and visualization developers. HP is currently going through enterprise-scale transformation initiatives that heavily relies upon a data-driven culture. Our current focus for the coming year will be heavily forecast-related. Our team is flexible, dynamic, hungry, and humble; we are excited to find like-minded individuals!

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 internal customers/clients. Exercises significant independent judgment within broadly defined policies and practices to determine best method for accomplishing work and achieving objectives. May provide mentoring and guidance to lower level employees.

Responsibilities

• Mines data using modern tools and programming languages.
• Defines and implements models to uncover patterns and predictions creating business value and innovation.
• 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.
• Contributes/Leads project team(s) of data science professionals, assuring insights are communicated regularly and effectively, reviewing designs, models and accuracy and data compliance.
• Collaborates and communicates with project team regarding project progress and issue resolution.
• Communicates and drives data insights/innovation into the business.
• 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.

Knowledge & Skills

• Extensive experience using statistics, mathematics, and ML algorithms
• Python & R for scripting.
• Production-quality code.
• Enterprise Github for version control and collaboration.
• Databricks for pipeline dev/prod.
• Cloud and on-prem mixture for train/test/deploy.
• Parallel processing and distributed computing (enterprise-scale applications).
• Forecasting is especially relevant.
• OOP and Functional Programming concepts.
• Data structures
• Tabular data (data frames, data tables, transactional data).
• Lists, dictionaries, hierarchies, vectors, matrices, json, yaml, etc (as it relates to creating model and execution pipelines – clean coding!).
• Ability to define and create complex models that can be pushed to production.
• Effectively and creatively form narratives and create visualizations to describe and communicate findings.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills; mastery in English.
• Ability to effectively communicate data insights and negotiate options at senior management levels.
• Experience with Project Management, as you will be responsible for a portion of this.

Scope & Impact

• Collaborates with peers, junior engineers, data scientists and project team.
• Typically interacts with high-level Individual Contributors, Managers, Directors, Senior Directors and Program Core Teams (High-Exposure Team).
• Contributes and/or leads multiple projects requiring data engineering and data science solution development.
• Drives design innovation across HP.
• This is a team that has growth opportunity and we are very interested in long-term people to grow at HP.

Education & Experience

• Bachelor's, Master's, or higher degree in Statistics, Mathematics, Economics, Physics, Computer Science, Quantitative Finance, or equivalent.
• Typically 6-10 years relevant experience (flexible depending on skill/experience).
• Experience deploying and maintaining solutions in production.