Data Scientist at Capital One leveraging technology to improve fraud prevention and customer safety. Collaborating with cross - functional teams to deliver industry - leading fraud defenses.
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
Data Scientist delivering insights for product and operations teams in Customer Support at Etsy. Using behavioral analysis to drive product development and strategy within a collaborative environment.
Data Scientist developing predictive models and enhancing investment strategies with AI at MDOTM. Collaborating in a dynamic research team to drive data - driven insights and innovative solutions.
Lead Data Scientist at Vizient developing automated analytics and advanced data science solutions. Collaborating with teams to improve clinical, operational, and economic outcomes.
Data Scientist developing analytic solutions and analyzing healthcare datasets for client decision - making. Collaborating with teams to build scalable analytics products and communicate insights.
Senior Data Scientist at Pinterest applying GenAI to build analytics solutions and data models. Collaborating across teams to improve data integration and pipeline management.
Solution Analyst / Data Scientist at Analytic Partners utilizing advanced data analysis and AI solutions for marketing performance in a hybrid work environment.
Lead Data Scientist building core AI systems for OpenExpert.AI, an AI operations platform in the energy sector. Collaborating across teams to design, deploy, and scale AI systems in high - stakes environments.
Senior Marketing Data Scientist leading advanced analytics initiatives for biBerk, enhancing marketing ROI and optimizing campaign performance. Collaborate with the Marketing team to drive effective investment decisions.
Cientista de Dados Pleno enhancing CRM performance through data analysis and predictive modeling. Collaborative role directly impacting client success with actionable insights.