Sr. Advanced Data Scientist leveraging advanced analytics and data science at Honeywell. Developing solutions for business growth and operational efficiency in the Atlanta office.
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
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