Manager of Data Science

Key Skills

Analytical and Problem solving, Analytical Techniques, Data Visualization, Econometrics, Effective communication skills, Forecasting, Machine learning techniques, Predictive analytics, Python Programming, R Programming, SQL, Statistical modeling

Job Description

The Advanced Analytics & Economic Office within HP’s Market Analysis and Planning function seeks a data science manager with a strong background in machine learning, econometrics, statistical analysis, and programming. The ideal candidate will have extensive experience developing advanced analytical analysis to drive significant business decisions governed by a deep intuitive sense of how your analysis relates to the business’s success. This role offers excellent visibility as your analysis will be used extensively throughout the firm to drive tactical, strategic, and operational decisions at the regional, business unit, and corporate levels. As the lead data scientist in the team, you will be expected to lead a team of data scientists and work with cross-functional teams of industry analysts and business leaders to deliver impactful analytically driven insights and forecasts on the demand and supply of HP’s range of technology products and services.

Key Responsibilities

• Engage with business partners, understanding their pressing and vital issues, and develop data-driven analytics to solve them
• Shape the company’s understanding of the direction of the technology industry and customer behavior through quantitative and analytical methods
• Communicate data-driven points of view effectively with a strong prowess in influencing
• Resolve pressing business issues in an efficient and effective manner
• Leverage advanced analytical techniques to drive value-added business actions and decisions
• Support industry analysts in understanding significant market shocks that are or will impact the technology industry
• Expand on existing statistical, econometric, and machine learning models used in market forecasting and analysis

Education and Experience Required

• Masters/Ph.D. in Economics, Statistics, Computer Science, or a related field
• 15+ Years of experience developing advanced analytical methods to address business issues and communicating results to senior leaders
• 15+ Years developing econometrics, statistical, and machine learning models for forecasting time-series
• 10+ Years leading teams of data scientists and managing cross-functional analytical projects

Knowledge and Skills

• Passionate about the technology industry, its role in society, and its evolution in changing the way we work, learn, play, and interact
• Advanced analytical skills, including time-series forecasting, econometric analysis, and machine learning/AI
• Strong background in statistical programming languages (R, Python, etc.); familiarity with SQL a plus
• High level of skill in developing analysis to address esoteric and sometimes ambiguously defined business questions
• Deep knowledge of fundamental drivers of consumer and commercial IT spending decisions
• Experience in collaborating with business partners across the seniority spectrum
• Excellent problem-solving abilities coupled with strong written/oral communications skills
• Strong interpersonal and group project management skills
• Strong team building and management skills, supporting highly engaged and problem-solving teams
• Experience in presenting complex topics to senior leaders
• Ability to interface effectively with cross-functional teams
• Possess a high degree of initiative, flexibility, and a positive attitude
• Self-starter with natural curiosity and investigative skills who takes ownership to drive results

HP offers a comprehensive benefits package, including:

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

Per the Colorado statute, the estimated range of compensation for this job in Colorado, at the time of this posting, is $150,000 – $180,000. This position may be eligible for incentive pay, for openings where this is applicable.