Staff Product Manager-Data Scientist: AI-Driven Innovation
6 days ago
We're seeking a highly skilled Staff Product Manager-Data Scientist to join our Digital Technology team at ServiceNow. As a key member of our team, you will be responsible for driving the development and implementation of AI-driven solutions that transform business processes and drive business outcomes.
Key Responsibilities- Product Management: Identify business needs and develop AI-driven solutions that meet those needs, working closely with cross-functional teams to ensure successful implementation.
- Data Science: Develop and implement machine learning models and algorithms to drive business insights and decision-making, using tools such as Python, R, and Azure ML.
- Analytics: Design and develop data visualizations and reporting solutions to communicate complex data insights to business stakeholders, using tools such as Power BI.
- Collaboration: Work closely with business stakeholders to understand their needs and develop solutions that meet those needs, and collaborate with cross-functional teams to ensure successful implementation.
- Core Skills: Proven track record of using data to drive business decisions, experience with Power BI, product development, and agile scrum teams, strong SQL skills, and experience with Python, R, and Azure ML.
- Approach: Exceptional verbal and written communication skills, self-starter with a high degree of motivation, ability to work collaboratively and effectively across different functions.
- Domain Expertise: 8+ years of experience supporting large sales organizations, ideally at a publicly traded company or exposure to enterprise business processes, Bachelor's Degree in an analytical field, and experience with multiple end-to-end AI/ML solutions.
We offer a competitive salary range of $165,800 - $290,200, plus equity (when applicable), variable/incentive compensation, and benefits. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan, and family leave programs (subject to eligibility requirements).
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