[Hiring] Data Scientist, Integrated Business Planning @Agilent Technologies

Role Description

Integrated Business Planning (IBP) brings together forecasting and supply 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.

Agilent is building our enterprise planning capabilities to drive IBP across the business by establishing a centralized Planning Excellence Team (PET). This team will continue our Ignite IBP transformation journey which will strengthen our competitive advantage by enabling faster, more reliable planning. The IBP Data Scientist role will bring key data scientist capabilities to the PET team.

As the IBP Data Scientist, you will be responsible for supporting the fast-paced development and continued maintenance of demand, inventory, and supply planning models, refreshing targets, and monitoring key planning parameters to ensure the business is positioned to meet demand reliably and efficiently.

• Provide data-driven insights, dashboards, and scenario modeling to support demand and supply planners, S&OE/S&OP processes, and enterprise decision-making
• Drive continuous improvement in analytics, data quality, and model reliability
• Drive automation and advanced analytics, leveraging Python, SQL, and BI tools to scale insights
• Partner with more senior team members to align analytics with standards, governance, and process maturity efforts
• Generate dashboards and KPIs that support IBP governance and forum discussions
• Enable S&OE/S&OP with near-term supply-demand coverage analytics, including early warning indicators

Qualifications

• Bachelor's or Master's Degree or equivalent in data science, statistics, computer science, or related field.
• Post-graduate, certification, and/or license are a plus.
• Ability to work independently and as part of a team in a fast-paced environment.
• Knowledge in predictive modeling, machine learning, and statistical analysis preferred.
• Programming languages such as Python, R, or SQL.
• Data visualization tools like Tableau, Power BI, Qlik, Spotfire or similar.
• Strong analytical and problem-solving skills with the ability to interpret complex data.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Knowledge of advanced machine learning techniques and frameworks.

Requirements

• This job has a full time weekly schedule.
• Includes the option to work remotely.
• Applications for this job will be accepted until at least March 18, 2026 or until the job is no longer posted.
• The full-time equivalent pay range for this position is $74,560.00 - $139,800.00/yr plus eligibility for bonus, stock and benefits.
• Pay ranges are determined by role, level, and location.
• 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.

Benefits

• Agilent Technologies, Inc. is an Equal Employment Opportunity and merit-based employer that values individuals of all backgrounds at all levels.
• All individuals, regardless of personal characteristics, are encouraged to apply.
• All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, religion or religious creed, color, gender, gender identity, gender expression, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, registered domestic partner status, age, sexual orientation, military or veteran status, protected veteran status, or any other basis protected by federal, state, local law, ordinance, or regulation.
• Agilent Technologies, Inc., is committed to creating and maintaining an inclusive workplace where everyone is welcome.
• Strives to support candidates with disabilities.
• If you have a disability and need assistance with any part of the application or interview process or have questions about workplace accessibility, please email [email protected] or contact +1-262-754-5030.
• For more information about equal employment opportunity protections, please visit www.agilent.com/en/accessibility.