Senior Data Scientist

at  Hewlett Packard

This role is responsible for enabling innovation and creativity by bringing cutting edge perspectives on adopting latest data mining and modelling techniques. The role understands current complex business problems and future business strategy to assess, build and deploy required data mining and modelling capabilities. The role is involved in driving standardization, productivity and cross team learning by establishing processes and SOPs for entire data model development lifecycle. The role drives excellence through continuous improvement in model accuracy and reliability.

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 10+ years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field

Preferred Knowledge & Skills

• Broad knowledge of machine learning, statistical modeling, or data mining
• Expertise with building robust systems based on machine learning techniques.
• Track record of work in Generative AI (LLMs, LVMs, LMMs) development and deployment.
• Knowledge of cloud deployments on AWS/Azure
• Experience leveraging models from repositories such as Hugging Face
• Experience with deep learning frameworks such as Pytorch and Tensorflow.
• Excellent Software development skills with fast prototyping in Python

• Leads organization wide team or teams of other data science professionals in complex projects to mine data using modern tools and programming languages.
• Defines models to uncover patterns and predictions creating business value and innovation.
• Manages and creates relationships with business partners to evaluate and foster data driven innovation, provides domain-specific expertise in cross-organization projects/initiatives.
• Ties insights into effective visualizations communicating business value and innovation potential.
• Works with various stakeholders, including business leaders, engineers, product managers, and data analysts, to identify business problems and develop data-driven solutions.
• Prepares and presents literature, presentations, invention disclosures for peer review & publication in industry data science domain initiatives and conferences.
• Assures insights are communicated regularly and effectively, reviewing designs, models and data compliance.
• Defines, communicates and drives data insights/innovation into the business.
• Leverages recognized domain expertise, business acumen, and overall data systems leadership to influence decisions of executive business leadership, development partners, and industry standards groups.
• Provides guidance, training and mentoring to less experienced staff members.

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 10+ years of work experience, preferably in data analytics, statistical modeling, machine learning, or a related field.

Preferred Knowledge & Skills

• Broad knowledge of machine learning, statistical modeling, or data mining
• Expertise with building robust systems based on machine learning techniques.
• Track record of work in Generative AI (LLMs, LVMs, LMMs) development and deployment.
• Knowledge of cloud deployments on AWS/Azure
• Experience leveraging models from repositories such as Hugging Face
• Experience with deep learning frameworks such as Pytorch and Tensorflow.
• Excellent Software development skills with fast prototyping in Python.

HP offers a comprehensive benefits package, including:

• Dental insurance
• Disability insurance
• Employee assistance program
• Flexible schedule
• Flexible spending account
• Health insurance
• Life insurance

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The typical base pay range for this role across the U.S. is $143850 - $221550 annually with additional opportunities for pay in the form of bonus and/or equity. Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process