Associate Director Data Science

Sandoz International GmbH; Hinoba-an; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

Sandoz is seeking a senior data scientist to turn complex data into actionable insights that improve pipeline and launch forecasts, enabling strategic and operational decision-making.

You will build predictive models, analyze data, and communicate findings to diverse audiences, while advancing forecasting methodologies and analytics capabilities across the organization.

Qualifications

• University degree in computer science, mathematics, physics, statistics or economics or similar field of study.
• 7+ years of experience in data science, advanced analytics, business intelligence or related field.
• Experience with commercial or sales forecasting is highly desirable.
• Experience in pharmaceutical, healthcare, and life sciences is an advantage.

Responsibilities

• Develop and maintain predictive models, statistical analyses, and machine learning applications to identify trends, risks, and opportunities.
• Analyze complex datasets and turn findings into clear recommendations for business teams.
• Partner with cross-functional teams to understand business challenges and define analytical approaches that support strategic objectives.
• Develop and maintain dashboards, reports, and performance metrics to enable effective monitoring of key business outcomes.
• Ensure data quality, integrity, and consistency across analytical models, reporting processes, and data sources.
• Communicate analytical findings and insights clearly to technical and non-technical audiences to support informed decision-making.
• Contribute to the continuous improvement of forecasting methodologies, analytics capabilities, and data science best practices within the organization.

Skills

Python or R

Machine learning

Data visualization

Statistical modeling

Cloud platforms

Data quality

SQL

Stakeholder comms

Education

Bachelor's degree in a relevant field

Tools

Power BI

Python

R

Cloud platforms

Job description

The purpose of this role is to turn complex data into clear, actionable insights that improve pipeline and launch forecasts and enable confident strategic and operational decisions.

Your Key Responsibilities:

Your responsibilities include, but not limited to:

• Develop and maintain predictive models, statistical analyses, and machine learning applications to identify trends, risks, and opportunities.
• Analyze complex datasets and turn the findings into clear recommendations for business teams.
• Partner with cross-functional teams to understand business challenges and define analytical approaches that support strategic objectives.
• Develop and maintain dashboards, reports, and performance metrics to enable effective monitoring of key business outcomes.
• Ensure data quality, integrity, and consistency across analytical models, reporting processes, and data sources.
• Communicate analytical findings and insights clearly to technical and non-technical audiences to support informed decision-making.
• Contribute to the continuous improvement of forecasting methodologies, analytics capabilities, and data science best practices within the organization. Use data and advanced analytics to improve forecasts and support commercial decisions.

What you'll bring to the role:

• University Degree in computer science, mathematics, physics, statistics or economy or similar field of study
• 7+ years of experience in data science, advanced analytics, business intelligence or a related field.
• Experience working with commercial or sales forecasting is highly desirable.
• Experience in pharmaceutical, healthcare, and life sciences is an advantage.
• Experience and ability to work with large datasets, preferably with Python or R. Knowledge of machine learning techniques, predictive analytics, and statistical modeling.
• Experience with data visualization tools such as Power BI, Python, or R visualization libraries.
• Familiarity with cloud-based analytics platforms (Azure, AWS, or Google Cloud) is preferred. Understanding of generative AI and advanced analytics applications is a plus.

Why Sandoz?

Sandoz is the global leader in Biosimilar and Generic medicines, a segment of the healthcare industry that delivers 80% of the world's medicines at 30% of the cost, touching the lives of more than 1 billion people across 100+ countries! While we are proud of our achievements, we have an ambition to do more, so that everyone can achieve the basic human right of access to good healthcare.

With investments in new development capabilities, production sites, new acquisitions, and partnerships, we have the opportunity to shape the future of Sandoz and help even more people gain access to low-cost, high-quality medicines, sustainably.

Our momentum is powered by an open, collaborative culture driven by our talented and ambitious colleagues, who, in return for applying their skills, experience an agile and collegiate environment with impactful careers, where diversity of thought is welcomed and where personal growth is supported!

Join us, help us make healthcare fairer and faster.

Commitment to Diversity & Inclusion:

We are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.

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