Lead Data Scientist
Austin, TX · On-site
Ouro offers innovative financial services and technology solutions, focusing on financial empowerment. Founded in 1999, the company is headquartered in Austin, USA, with a team of 501-1000 employees.
New
Ouro
2 Ouro Jobs Hiring Near You
Lead Data Scientist
Austin, TX · On-site
Ouro offers innovative financial services and technology solutions, focusing on financial empowerment. Founded in 1999, the company is headquartered in Austin, USA, with a team of 501-1000 employees.
New
Risk Analytics Manager
Austin, TX · On-site
Risk Data Analytics Manager Netspend Corporation is a global, vertically-integrated financial services and technology company dedicated to the delivery of innovative financial empowerment solutions ...
Risk Analytics Manager
Austin, TX · On-site
Risk Data Analytics Manager Netspend Corporation is a global, vertically-integrated financial services and technology company dedicated to the delivery of innovative financial empowerment solutions ...
Full-time
Posted 2 days ago
Job description
Job Summary:
Netspend Corporation is a global financial services and technology company dedicated to innovative financial empowerment solutions. The Lead Data Scientist will spearhead complex machine learning and predictive modeling initiatives, serving as a technical lead and mentor while tackling intricate analytical challenges.
Responsibilities:
• Lead the end-to-end design, development, training, and deployment of complex, highly scalable machine learning models and AI solutions that address critical business priorities.
• Serve as the principal technical lead on significant data science projects.
• Tackle highly complex, multi-variable data issues.
• Act as a technical mentor and team lead for junior to mid-level data scientists (P1-P3).
• Coordinate the activities of other analytical personnel to ensure project milestones are met while maintaining high-quality code and modeling standards.
• Build networks and collaborate deeply with key contacts outside your immediate area of expertise, including senior leaders in Data Engineering, Product Management, and Business Operations, to drive the adoption of data science solutions.
• Continuously evaluate the company’s data capabilities and emerging AI/ML technologies.
• Recommend innovative tools and algorithmic approaches to keep the organization at the forefront of the industry.
• Synthesize and present complex analytical findings to non-technical executive stakeholders, clearly articulating the business value and strategic implications of predictive models.
• All other duties assigned.
Qualifications:
Required:
• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a highly quantitative field.
• Minimum of 8 years of related professional experience with a Bachelor's degree; OR 6 years of experience with a Master's degree; OR a PhD with 3 years of experience.
• Expert-level proficiency in Python or R, and advanced SQL capabilities.
• Deep, hands-on expertise with advanced machine learning frameworks (e.g., TensorFlow, PyTorch, Keras, XGBoost).
• Extensive experience deploying models into production environments using cloud platforms (e.g., AWS SageMaker, GCP, Databricks).
• Strong understanding of MLOps, CI/CD pipelines, and version control.
• Exhibits advanced experience and in-depth professional knowledge to resolve complex models and operational procedures.
• Works creatively and effectively to solve complex issues.
• Works on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors.
• Exercises independent judgment in selecting methods, techniques, and evaluation criteria for obtaining optimal results.
• Determines methods and procedures on new assignments and coordinates the activities of other personnel (acts as a Team Lead).
• Networks collaboratively with key contacts outside their own area of expertise to drive broad business impact.
Preferred:
• A Master’s degree or Ph.D. is strongly preferred.
Company:
Ouro offers innovative financial services and technology solutions, focusing on financial empowerment. Founded in 1999, the company is headquartered in Austin, USA, with a team of 501-1000 employees. The company is currently Late Stage.
Netspend Corporation is a global financial services and technology company dedicated to innovative financial empowerment solutions. The Lead Data Scientist will spearhead complex machine learning and predictive modeling initiatives, serving as a technical lead and mentor while tackling intricate analytical challenges.
Responsibilities:
• Lead the end-to-end design, development, training, and deployment of complex, highly scalable machine learning models and AI solutions that address critical business priorities.
• Serve as the principal technical lead on significant data science projects.
• Tackle highly complex, multi-variable data issues.
• Act as a technical mentor and team lead for junior to mid-level data scientists (P1-P3).
• Coordinate the activities of other analytical personnel to ensure project milestones are met while maintaining high-quality code and modeling standards.
• Build networks and collaborate deeply with key contacts outside your immediate area of expertise, including senior leaders in Data Engineering, Product Management, and Business Operations, to drive the adoption of data science solutions.
• Continuously evaluate the company’s data capabilities and emerging AI/ML technologies.
• Recommend innovative tools and algorithmic approaches to keep the organization at the forefront of the industry.
• Synthesize and present complex analytical findings to non-technical executive stakeholders, clearly articulating the business value and strategic implications of predictive models.
• All other duties assigned.
Qualifications:
Required:
• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a highly quantitative field.
• Minimum of 8 years of related professional experience with a Bachelor's degree; OR 6 years of experience with a Master's degree; OR a PhD with 3 years of experience.
• Expert-level proficiency in Python or R, and advanced SQL capabilities.
• Deep, hands-on expertise with advanced machine learning frameworks (e.g., TensorFlow, PyTorch, Keras, XGBoost).
• Extensive experience deploying models into production environments using cloud platforms (e.g., AWS SageMaker, GCP, Databricks).
• Strong understanding of MLOps, CI/CD pipelines, and version control.
• Exhibits advanced experience and in-depth professional knowledge to resolve complex models and operational procedures.
• Works creatively and effectively to solve complex issues.
• Works on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors.
• Exercises independent judgment in selecting methods, techniques, and evaluation criteria for obtaining optimal results.
• Determines methods and procedures on new assignments and coordinates the activities of other personnel (acts as a Team Lead).
• Networks collaboratively with key contacts outside their own area of expertise to drive broad business impact.
Preferred:
• A Master’s degree or Ph.D. is strongly preferred.
Company:
Ouro offers innovative financial services and technology solutions, focusing on financial empowerment. Founded in 1999, the company is headquartered in Austin, USA, with a team of 501-1000 employees. The company is currently Late Stage.