Demand Planning Data Scientist

Agilent Technologies Sales (Malaysia); Bayan Lepas; Remote; MYR 120,000 - 220,000; Full time

Benefits offered by this job

Remote work option

Job summary

Agilent Technologies Sales (Malaysia) is seeking a Demand Planning Data Scientist to build statistical models and deliver insights for demand forecasting that guide inventory and supply plans.

You will partner with IBP demand planners to generate reliable forecasts, investigate forecast accuracy, and communicate gains from productionizing analytics across the business. A remote work option is available.

Qualifications

• Bachelor's or Master's degree in data science, statistics, computer science or a related field.
• 4+ years of experience in data science or equivalent.
• Strong knowledge in predictive modeling, ML, and statistical analysis.
• Proficiency in Python, R or SQL.

Responsibilities

• Develop statistical forecasts and predictive models for product orders across geographies.
• Assist Demand Planners with root cause analysis of forecast deviations.
• Evaluate IBP deviations and their impact on monthly plans.
• Generate analytical insights and validate model performance.

Skills

Predictive Modeling

Machine Learning

Statistical Analysis

Data Visualization

Education

Bachelor's or Master's in Data Science/Statistics/CS

Tools

Python

R

SQL

Job description

Job DescriptionIntegrated Business Planning (IBP) brings together forecasting and planning across marketing, sales, finance, procurement, manufacturing, and customer service into a unified process. This integration ensures alignment across the enterprise, leading to superior customer outcomes.As a Demand Planning Data Scientist, you will build statistical models and deliver insights to guide business decisions related to demand forecasting that provide reliable and accurate signals for inventory and supply plans. You will partner closely with an IBP demand planner(s) to generate reliable forecasts so they can coordinate demand reviews. These roles in collaboration together will be crucial in ensuring effective demand schedules, streamlining internal processes, and ultimately enhancing the customer experience.Principle Duties/Responsibilities:Develop Statistical Forecasts: Lead the development and implementation of predictive models to forecast product orders across various geographies. Utilize historical data, machine learning, market intelligence, and field sales input to create highly accurate demand forecasting models.Assist Demand Planner(s) with Root Cause Analysis: Investigate key metrics such as forecast accuracy, bias, and value add to identify underlying issues.Evaluate IBP Deviations: Collaborate with Demand Planners to discuss and understand the impact of last month's Integrated Business Planning (IBP) deviations on the current month's plan.Generate Analytical Insights: Theorize potential insights, design and execute experiments to validate model performance and improve forecasting accuracy.Communicate Analytical Gains: Articulate the benefits of productionizing statistical models to business functions that can leverage the results of analytical processes.Create and Validate Statistical Models: Develop statistical models to test hypotheses and ensure they can be productionized for regular use, allowing for consistent sharing of analysis results. Analyze large datasets to identify trends, patterns, and insights that inform business decisions.Model Complex Organizational Problems: Use statistical, algorithmic, mining, and visualization techniques to uncover insights and identify opportunities within complex organizational challenges.Educate on New Approaches: Inform and educate the organization on innovative analytical approaches and methodologies.Identify Data Science Opportunities: Recognize problems that would benefit from Data Scientist expertise. Communicate findings and recommendations to stakeholders through clear and compelling visualizations and reports.Strategic Data Recommendations: Provide strategic recommendations on data collection, integration, and retention requirements, incorporating business needs and best practices. Collaborate with cross-functional teams to integrate data-driven strategies into business planning processes.Drive Innovation and Improvement: Stay updated with the latest advancements in data science and machine learning to continuously enhance our forecasting capabilities.QualificationsBachelor's or Master's Degree in Data Science, Statistics, Computer Science, or a related field.Typically, at least 4+ years of experience in data science or equivalent work experience.Extensive knowledge in predictive modeling, machine learning, and statistical analysis.Proficiency in programming languages such as Python, R, or SQL.Additional DetailsThis job has a full time weekly schedule. It includes the option to work remotely.Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.agilent.com/locationsAgilent Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.Travel Required:OccasionalShift:DayDuration:No End DateJob Function:Administration