Data Scientist shaping the future of customer management using advanced machine learning technologies at Capital One. Collaborating with cross - functional teams to enhance data - driven strategies.
About the role
- Data Scientist on the Fulfilment team at Gojek improving dynamic pricing systems for on-demand services. Collaborating with cross-functional teams to optimize user experience and driver earnings.
Responsibilities
- Translate complex business challenges into well-defined technical problems solvable with data, statistics, and machine learning.
- Collaborate with product managers, engineers, and business stakeholders to build and scale data science solutions that power pricing across ride-hailing, food delivery and logistics
- Own the full ML lifecycle—from ideation and research to model development, pipeline implementation, deployment, experimentation, and driving measurable business outcomes.
- Improve the efficiency of our dynamic pricing system using techniques from econometrics, causal inference and simulation
- Design and interpret experiments to measure model impact, working with analysts and product teams to ensure rigorous evaluation and clear success metrics.
- Monitor and evaluate model performance, identifying areas for improvement and proposing solutions
- Communicate insights, trade-offs, and technical decisions effectively to cross-functional stakeholders, and operate with a high degree of autonomy in ambiguous problem spaces.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Statistics, Machine Learning, or a related quantitative field, with 5-8 years of relevant experience
- Experience working on the core dynamic pricing engine for a ride-hailing company or other similarly dynamic domain
- Solid understanding of statistics and machine learning fundamentals, with projects demonstrating practical application.
- Proficiency in Python and SQL, and familiarity with data analysis or modeling libraries.
- Strong analytical thinking and problem-solving skills, with the ability to reason from data and communicate findings clearly.
- A willingness to learn fast, take initiative, and work collaboratively in a cross-functional team.
- Curiosity, humility, and a drive to apply data science to real-world problems at scale.
Benefits
- Health insurance
- Flexible work arrangements
- Professional development opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Technical Data Manager in Nokia's IP Routing Hardware team managing data entry and engineering change orders. Supporting NPI across product lines and implementing processes in manufacturing.
Petroleum Data Scientist providing predictive analytics and BI support for Oil and Gas company. Collaborating across departments to foster a data - driven culture and develop reporting tools.
Data Scientist leading and scaling data science initiatives for drug discovery at AQEMIA. Collaborating within the interdisciplinary Platform department to optimize molecule search methods.
Data Scientist in AI product organization at Candescent transforming digital banking. Engaging in data analysis and product strategy to deliver innovative solutions for financial institutions.
Specialist in Data Science at Northern Trust designing and deploying agentic AI systems. Build ML pipelines and collaborate on advanced data science strategies with financial applications.
AI Specialist at M. Dias Branco building multi - agent solutions with focus on data integration and business optimization. Responsible for evolving and maintaining production systems and developing APIs.
Staff Data Scientist designing and implementing data science models for PayPal. Collaborating with stakeholders to support business needs and mentoring junior data scientists.
Senior Data Scientist developing and executing machine learning models for PG&E, focusing on risk mitigation and operational decision - making in safety and regulatory contexts.
Data Scientist in Supply Chain Analytics for Ford Motor Company. Leveraging technology and analytics to redefine transportation and enhance customer experience.