Data Scientist / ML Engineer at Franklin Templeton designing and productionizing machine learning systems for business solutions. Collaborating with teams to deliver scalable and reliable ML solutions.
About the role
- Supply Chain Data Scientist at HP developing advanced analytics to optimize global supply chain strategies. Collaborating with senior executives to drive decision-making and innovation.
Responsibilities
- Evaluate supply chain investment and improvement opportunities.
- Develop cutting-edge predictive, prescriptive, and generative AI models to optimize business outcomes.
- Deliver strategic recommendations that shape HP’s global supply chain.
- Collaborate with senior executives to set direction and drive innovation.
- Lead with technical and analytical expertise to translate theory into impactful business solutions through strong execution and cross-functional orchestration.
- Work closely with SPaM team members and cross-functional partners to define business challenges, develop analytical frameworks, gather key data, evaluate solutions, and deliver well-supported recommendations to leadership.
- Develop and implement cutting-edge solutions in inventory management, working capital optimization, network design, forecasting, complexity reduction, product planning, manufacturing, and distribution to enhance efficiency and decision-making.
- Leverage data visualization techniques to craft compelling narratives that communicate insights, drive action, and demonstrate business value.
- Design, deploy, and support predictive, prescriptive, and generative analytics models that drive measurable impact at scale.
- Apply proven change management strategies to facilitate smooth adoption of new analytics-driven solutions across the organization.
- Continuously enhance expertise in data science and supply chain management by staying informed on the latest advancements and industry trends.
Requirements
- MS/PhD in a business analytics field (i.e. Industrial Engineering, Management Science, Operations Research, Statistics, Data Science) or MBA with Supply Chain or Operations concentration
- Operational experience in one of the following: inventory optimization, demand forecasting, network design, planning, forecasting, procurement, logistics, warranty, product quality, product variety management, or similar supply chain domain area
- 4-6 years of experience
- Expertise with inventory optimization math and deployment of the mathematical formulas into a business process
- Applied experience with machine learning and optimization on large datasets
- Proficient with Python, SQL, GitHub Co-Pilot, PowerBI, Excel
- Experience with GenAI
- Passion for data science & delivering data-driven outcomes
- Demonstrated innovation across the supply chain domains (Plan, Source, Make, Deliver, Return)
- Demonstrated practical experience in an operational environment
- Experience implementing and handing off operational analytical solutions to business users
- Demonstrated ability to deal well with ambiguity and work collaboratively in a fast-paced environment
- Demonstrated ability to communicate concisely with diplomacy, credibility, and confidence
- Experience with data visualization and data presentation in a clear and effective manner
- Experience leading, collaborating with, and delivering results in cross-functional teams
- Familiarity with statistics, forecasting, simulation, and spreadsheet modelling
- A desire to be a part of the HP team with a commitment to build upon our brand that is synonymous with innovation, trust, reliability, and sustainability.
Benefits
- 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
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