Key Responsibilities:
Team Leadership & Development
- Lead mentor and develop a team of junior data scientists fostering a culture of innovation collaboration and continuous learning.
- Set clear goals monitor team performance and ensure highquality deliverables.
Stakeholder Engagement
- Collaborate with data science leads across Asia Pacific to understand their business requirements translate them into actionable data science projects and deliver solutions that address business needs.
- Communicate complex data science concepts and insights effectively to nontechnical stakeholders ensuring alignment on goals and outcomes.
Project & Resource Management
- Oversee the endtoend lifecycle of data science projects including scoping planning execution and delivery.
- Allocate resources efficiently across multiple projects and prioritize initiatives based on business impact.
Technical Expertise & Collaboration
- Act as a technical expert guiding the team in building and deploying advanced analytics predictive models and machine learning solutions.
- Collaborate closely with the data engineering team to ensure seamless integration of data pipelines scalable infrastructure and efficient workflows.
Innovation & Best Practices
- Drive the adoption of best practices in data science methodologies coding standards and model deployment strategies.
- Stay updated with industry trends and emerging technologies to ensure the team remains ahead of the curve.
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 23 set days a week (determined by leadership/site) with a general guidepost of being in the office 50% or more of the time based on business needs.
Qualifications :
Qualifications and Experience:
- Bachelors or Masters degree in Computer Science Data Science Statistics or a related field. Advanced degrees preferred.
- 10 years of experience in data science including 3 years in a leadership or management role with proven track record of strong people and stakeholder management skills.
- Proven track record of delivering impactful data science projects in a crossfunctional and geographically dispersed environment.
Technical Skills:
- Strong programming skills in Python R or similar languages.
- Proficiency in SQL and experience with big data tools (e.g. Spark Hadoop).
- Expertise in machine learning statistical modeling and data visualization tools.
- Experience working with cloud platforms (e.g. AWS Azure GCP) is a plus.
Soft Skills:
- Excellent communication and interpersonal skills to engage with stakeholders at all levels.
- Strong project management skills including the ability to manage multiple projects simultaneously.
- Strategic thinker with the ability to drive innovation and continuous improvement.
Additional Information :
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Remote Work :
No
Employment Type :
Fulltime