Description -

We are seeking a highly skilled and experienced Manager to lead a global team of 3-5 data scientists within the Advanced Analytics organization. The successful candidate will be responsible for managing a team in charge of ideation, development, and deployment of algorithms aimed at the continuous optimization of marketing activities. This role requires a strategic thinker with a strong background in data science and proven leadership abilities. 

Job Responsibilities: 

• Manage and mentor a global team of 3-5 data scientists, fostering a collaborative and innovative work environment. Guide the team in setting goals and provide career development opportunities. 

• Oversee the ideation, development, and deployment of advanced algorithms, including contextual bands, to enhance decision-making for digital marketing and CRM notifications.

• Ensure the team delivers high-quality, scalable, and maintainable code and models. 

• Monitor and evaluate the performance of deployed algorithms, making necessary adjustments to enhance their effectiveness. 

• Collaborate with cross-functional teams to identify opportunities for data-driven improvements and implement effective solutions. 

• Stay current with industry trends and advancements in data science and analytics to continuously improve the team's capabilities. 

• Foster a data-driven culture within the team, promoting collaboration and knowledge sharing around contextual bandits and RL applications. 

• Communicate complex data science concepts, especially those related to contextual bandits and RL, to technical and non-technical stakeholders. 

Job Requirements:

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field. 

• 5-8 years of experience in data science, with at least 3 years in a managerial role. 

• Proven track record of managing and developing high-performing teams. 

• Strong expertise in machine learning, statistical analysis, and algorithm development. 

• Proficiency in programming languages such as Python, R, or similar. 

• Excellent problem-solving skills and the ability to think strategically. 

• Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at all levels. 

• Experience in marketing analytics.

The base pay range for this role is $130,000 to $200,000 annually with additional opportunities for pay in the form of bonus and/or equity (applies to US candidates only).  Pay varies by work location, job-related knowledge, skills, and experience.

Benefits (applies to US candidates only):

HP offers a comprehensive benefits package for this position, including:

• Health insurance
• Dental insurance
• Vision insurance
• Long term/short term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• Generous time off policies, including; 
• 4-12 weeks fully paid parental leave based on tenure
• 11 paid holidays

Additional flexible paid vacation and sick leave (US benefits overview)

The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.

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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