Demand Planning Data Scientist Lead

Agilent Technologies LDA Malaysia Sdn. Bhd.; Penang; Hybrid; MYR 180,000 - 240,000; Full time

Benefits offered by this job

Medical

Education support

Dental

Sports

Parking

Vision

Executive Health Screening

Marriage & New Born Gift

Job summary

Agilent Technologies LDA Malaysia Sdn. Bhd. is seeking a Demand Planning Data Scientist to build predictive models and provide actionable insights for demand forecasting across geographies. You will collaborate with IBP demand planners to generate reliable forecasts that guide inventory and supply plans.

You will lead the team in ensuring data model quality, refreshing models, and communicating gains to business partners across commercial, finance, and global operations.

Qualifications

• Bachelor's or Master's Degree in Data Science, Statistics, Computer Science, or a related field.
• Typically, at least 10+ years of experience in data science or equivalent work experience.
• Extensive knowledge in predictive modeling, machine learning, and statistical analysis.
• Proficiency in Python, R, or SQL.
• Experience with data visualization tools like Tableau, Power BI, Qlik, Spotfire or similar.
• Strong analytical and problem-solving skills with the ability to interpret complex data.
• Excellent communication skills, both written and verbal, with the ability to present technical information to non-technical stakeholders.
• Ability to work independently and as part of a team in a fast-paced environment.
• Strong executive presence and leadership skills.
• Preferred Qualifications: Experience in business planning and forecasting; Cloud platforms (AWS, Azure, Google Cloud); Knowledge of advanced ML techniques and frameworks.

Responsibilities

• Develop Statistical Forecasts: Lead the development and implementation of predictive models to forecast product orders across geographies.
• Assist Demand Planner(s) with Root Cause Analysis: Investigate forecast accuracy, bias, and value add to identify issues.
• Evaluate IBP Deviations: Discuss how last month's IBP deviations impact the current month's plan.
• Generate Analytical Insights: Design experiments to validate model performance and improve forecasting accuracy.
• Communicate Analytical Gains: Articulate benefits of productionizing models to business functions.
• Create and Validate Statistical Models: Develop models to test hypotheses and ensure production readiness.
• Model Complex Organizational Problems: Use statistical and visualization techniques to uncover insights in complex challenges.
• Educate on New Approaches: Inform organization about innovative analytical methodologies.
• Identify Data Science Opportunities: Recognize problems suitable for data science and communicate findings via visualizations.
• Strategic Data Recommendations: Advise on data collection and retention, aligning with business needs.
• Drive Innovation and Improvement: Stay updated with ML advancements to enhance forecasting capabilities.

Skills

Predictive modeling

Machine learning

Statistical analysis

Python

R

SQL

Data visualization

Communication

Independence

Leadership

Education

Master's degree in Data Science

Bachelor's degree in related field

Tools

Tableau

Power BI

Qlik

Spotfire

Python

R

SQL

Job description

Agilent Technologies LDA Malaysia Sdn. Bhd. 4.2 View all jobs

Integrated 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.

As a master-level demand planning data scientist, you will take the lead for the team for ensuring collaboration with business partners across commercial, finance, and global operations. You will also ensure quality of the data models and refresh for the team.

• 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.

Qualifications

• Bachelor's or Master's Degree in Data Science, Statistics, Computer Science, or a related field.
• Typically, at least 10+ 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.
• Experience with data visualization tools like Tableau, Power BI, Qlik, Spotfire or similar.
• Strong analytical and problem-solving skills with the ability to interpret complex data.
• Excellent communication skills, both written and verbal, with the ability to present technical information to non-technical stakeholders.
• Ability to work independently and as part of a team in a fast-paced environment.
• Strong executive presence and leadership skills.
• Excellent communication skills, with the ability to effectively engage with different levels of management.
• Preferred Qualifications:
  • Experience in business planning and forecasting within a commercial setting.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
  • Knowledge of advanced machine learning techniques and frameworks.

Additional Details

This 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:

10% of the Time

Shift:

Day

Duration:

No End Date

Job Function:

Administration

Perks and benefits Medical Education support Dental Sports (e.g. Gym) Parking Vision Executive Health Screening, Marriage & New Born Gi

Agilent is a leader in life sciences, diagnostics and applied markets. Headquartered in Santa Clara, USA, the company provides laboratories worldwide with instruments, services, consumables, applications and expertise, enabling customers to gain the insights they seek. Agilent’s expertise and trusted collaboration give them the highest confidence in our solutions.

Agilent focuses its expertise on six key markets, where we help our customers achieve their goals:

Food: Agilent helps ensure that our global food supply is free of contaminants—whether chemical, viral, bacterial or microbiological. Our customers include government regulators and labs that control food safety, as well as private companies that produce, package and sell food to the public.

Environmental and Forensics: From pesticides to pharmaceutical residues to trace metals, we provide fast, accurate and sensitive methods for monitoring contaminants affecting quality of life. Agilent solutions also play an important role in law enforcement by providing robust tools and instruments to analyze and verify evidence at trial, and keeping the world’s top-performing athletes honest.

Pharmaceutical: Agilent has one of the broadest solutions portfolios of any company serving the pharmaceutical industry. Our solutions provide precise answers for every segment of the pharmaceutical industry, from disease research and drug discovery to drug development, manufacturing and quality control. The start-to-finish solution set means customers can get products to market faster. Customers trust us to help them test the purity of their therapeutics. Agilent also ensures that their instruments and processes conform to the highest compliance regulations.

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