Posted:
8/21/2024, 5:00:00 PM
Location(s):
Prague, Czechia ⋅ Jalisco, Mexico ⋅ Capital City of Prague, Prague, Czechia ⋅ Washington, United States ⋅ Spring, Texas, United States ⋅ Texas, United States ⋅ Vancouver, Washington, United States ⋅ Guadalajara, Jalisco, Mexico
Experience Level(s):
Expert or higher ⋅ Senior
Field(s):
Data & Analytics
Description -
Position Overview:
We are seeking a talented and visionary Principal Data Scientist to join our Supply Chain Planning Analytics team. As a Principal Data Scientist, you will play a key role in shaping our long-term strategic direction by providing data-driven insights, conducting in-depth analysis, and developing innovative solutions to drive business growth and competitiveness while communicating business value and innovation potential through effective insights and visualizations. You will collaborate closely with senior leadership, business stakeholders, and cross-functional teams to identify strategic opportunities, assess market trends, and drive strategic initiatives across the organization.
Key Responsibilities:
Forecasting Models:
Develop predictive models and analytical frameworks to forecast market demand, assess competitive dynamics, predict demand, optimize inventory levels, and inform strategic decision-making.
Utilize time series analysis, machine learning, and statistical techniques to improve forecast accuracy.
Analyze large datasets to identify trends, patterns, and opportunities for improvement in supply planning.
Build and validate predictive models to forecast inventory needs and minimize stockouts and overstock situations.
Continuously monitor and refine models to ensure accuracy and reliability.
Inventory Optimization:
Utilize methods such as linear programming, queuing theory, and simulation to optimize inventory and production workflows.
Develop optimization models to improve supply planning and logistics.
Work with the supply chain team to implement inventory optimization strategies.
Conduct scenario analysis to support decision-making processes.
Component Classification and Segmentation
Conduct in-depth analysis of internal and external data sources to identify market trends, customer behaviors, and strategic opportunities.
Collaborate with cross-functional teams to define strategic priorities, establish performance metrics, and track progress against strategic goals.
Utilize deep learning models such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformer models for complex product classification and segmentation tasks.
Implement prescriptive analytics techniques to recommend actionable insights for product categorization and segmentation, enabling targeted marketing and inventory management strategies.
Supply Planning Optimization:
Lead strategic data science initiatives to support key business objectives in Inventory Optimization / Planning area.
Develop optimization models to improve supply planning and logistics.
Work with the supply chain team to implement inventory optimization strategies.
Conduct scenario analysis and simulation to support decision-making processes.
Mentor and coach junior team members and contribute to the development of a high-performing and collaborative data science team.
Qualifications:
Master's degree or related work experience Data Science, Mathematics, Statistics, Operations Research, Computer Science or a related field. PhD a Plus
10 -15 years of experience in strategic planning within Supply Chain, business analytics, or a similar role, with a strong focus on data-driven decision-making.
Proficiency in programming languages such as Python, R, or Scala, and experience with data analysis libraries and frameworks (e.g., pandas, scikit-learn, TensorFlow, PyTorch, PuLP, SciPy, SimPy).
Experience in advanced forecasting techniques (e.g., ARIMA, Prophet, LSTM)
Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights and strategic recommendations.
In-depth supply chain knowledge.
Fluent in structured and unstructured data, its management, and modern data transformation methodologies
Excellent communication and presentation skills, with the ability to convey technical concepts to non-technical stakeholders.
Proven track record of leading strategic initiatives, driving organizational change, and delivering measurable business results.
Ability to thrive in a fast-paced, dynamic environment, and manage multiple priorities effectively.
Strong leadership and collaboration skills, with the ability to build consensus and drive alignment across diverse stakeholders.
Experience in strategic consulting, management consulting, or corporate strategy is a plus.
The base pay range for this role is $137.000 USD to $211.000 USD 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:
HP offers a comprehensive benefits package for this position, including:
The compensation and benefits information are 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.
Job -
SoftwareSchedule -
Full timeShift -
No shift premium (Mexico)Travel -
Relocation -
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
Website: http://www.hp.com/
Headquarter Location: Palo Alto, California, United States
Employee Count: 10001+
Year Founded: 1939
IPO Status: Public
Last Funding Type: Post-IPO Equity
Industries: Computer ⋅ Consumer Electronics ⋅ Hardware ⋅ IT Infrastructure ⋅ Software