Data Scientist working at HP analyzing complex data sets using statistical techniques. Developing data - driven models and insights to improve organizational performance while mentoring project teams.
About the role
- Senior Data Scientist applying advanced statistical methods to manufacturing challenges in global health. Collaborating across global teams to improve quality control and regulatory submissions.
Responsibilities
- Lead end‑to‑end data science and statistical projects to address manufacturing challenges, applying advanced methods (DOE, SPC, regression, GLMs, multivariate analysis, optimization, simulation, predictive modeling, machine learning, etc.)
- Perform data quality assessments, maintain metadata awareness, and prepare reports for stakeholders and regulatory submissions
- Develop reproducible, well‑documented code and data science pipelines
- Automate repeatable tasks and integrate data science into operational workflows
- Mentor colleagues and upskill stakeholders in statistical and data-driven thinking
- Communicate complex statistical and modeling results clearly, to both technical and non-technical audiences, and provide actionable recommendations
- Stay current with modern predictive modeling, statistical methods, machine learning and AI methodologies
- Collaborate closely with Operations, Quality, Engineering, and Regulatory teams across regions
Requirements
- MSc (or higher) in Statistics, Mathematics, Computer Science, Physics, Economics, or related field with strong statistical and data science emphasis
- Relevant hands-on experience in a data science, statistician or biostatistics role, preferably in pharmaceutical or manufacturing environments
- Strong knowledge of DOE, SPC, GLMs, multivariate methods, simulations, predictive modeling, time series, stochastic processes, optimization, and machine learning
- Proficiency in R and/or Python
- Strong coding practices, with experience using collaborative tools (e.g., Git)
- Ability to work with incomplete or imperfect data and interpret results within the manufacturing/business context
- Strong analytical and problem-solving skills
- Excellent communication and interpersonal skills
- Comfortable working independently as well as collaboratively in a global team
Benefits
- Exciting work in a great team, global projects, international environment
- Opportunity to learn and grow professionally within the company globally
- Hybrid working model, flexible role pattern
- Internal reward system plus referral program
- Up-to-date laptop and iPhone, parking in the garage for drivers or showers for bikers
- Competitive salary, incentive pay, and many more
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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