Senior Health Data Scientist leading complex data extraction and modeling for healthcare solutions at Inovalon. Collaborating with multidisciplinary teams to deliver data - driven insights.
About the role
- Senior Data Scientist at Gojek leveraging data for strategic improvements and mentoring teams in a leading on-demand services company.
Responsibilities
- Design and implement sophisticated statistical and machine learning models to solve complex business problems, optimize service delivery, and predict user behaviour.
- Partner with senior stakeholders, including product managers, engineers, and executives, to understand business objectives and translate them into actionable data insights.
- Lead and mentor a team of data scientists and analysts. Provide guidance on best practices, model development, and analytical techniques.
- Develop and enforce data governance and quality standards. Oversee data pipeline development, ensuring data accuracy, consistency, and accessibility.
- Design and execute A/B tests and other experimentation methodologies to assess the impact of changes in product features, user interactions, and service delivery.
- Create high-impact visualizations and dashboards to communicate complex data insights to non-technical stakeholders.
- Stay abreast of the latest trends and advancements in data science, machine learning, and analytics. Apply innovative techniques and tools to enhance analytical capabilities.
Requirements
- Master’s in Data Science, Statistics, Computer Science, Mathematics, or a related field. Advanced academic qualifications are highly desirable.
- 5-7 years of experience in data science or a related field, preferably within the on-demand services or technology industry.
- Expertise in programming languages such as Python, R, or Scala, as well as proficiency with data manipulation and visualization libraries (e.g., pandas, NumPy, matplotlib, seaborn).
- Understanding of statistical concepts and techniques, with experience applying them to real-world problems.
- Excellent communication and interpersonal skills, with the ability to effectively convey complex technical concepts to both technical and non-technical audiences.
- A passion for learning and innovation, with a desire to stay ahead of the curve in the rapidly evolving field of data science and technology.
- Experience with ride-hailing, quick commerce or food delivery domain would be a bonus.
- Experience working with unstructured or semi-structured data and human-in-the-loop data operations would be a bonus.
- Experience with distributed systems would be a bonus.
Benefits
- None specified
Job title
Job type
Experience level
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Degree requirement
No Education Requirement
Tech skills
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