Data Scientist at Capital One leveraging machine learning models for credit underwriting decisions. Partnering with data scientists, engineers, and product managers using advanced technologies.
About the role
- Senior Manager overseeing data science teams and projects at CHEP. Leading AI-focused capability development and collaboration across data science initiatives.
Responsibilities
- Lead a team of data scientists, providing mentorship and guidance on daily tasks, fostering professional development and capability growth
- Oversee the implementation of Continuous Integration/Continuous Deployment (CI/CD) pipelines, ensuring deliverables meet project milestones and quality standards
- Apply advanced machine learning, forecasting, and statistical analysis techniques to drive experimentation and innovation on data science projects
- Lead the experimentation and implementation of new data science techniques for projects, ensuring alignment with internal and external customer objectives
- Communicate project status, methodologies, and results to both technical teams and business stakeholders, translating complex data insights into actionable strategies
- Facilitate data science team discussions, providing technical expertise on current methods and guiding decision-making for optimal outcomes
- Contribute to strategic data science initiatives, influencing the direction of key projects and aligning team efforts with broader business goals
- Encourage collaboration across teams and functions to ensure seamless integration of data science solutions into business processes and technology platforms
Requirements
- Bachelor's degree in Business Administration, Economics, Data Analytics, Computer Science, Information Systems, or related field
- Proven experience of 5+ years in Data Science, Software Development, Data Analytics, or related fields, including 3+ years in a managerial capacity
- Strong understanding of Machine Learning concepts, Data Science, GenAI, and Software Development techniques for data products
- Extensive knowledge of corporate data sources
- Demonstrated expertise in Data Science with business focus
- Experience in project management, including planning, resource allocation, risk management, and stakeholder communication
- Working on remote teams
- Excellent leadership and people management skills, with a track record of building and motivating high-performing teams
- Strong analytical and problem-solving abilities, with the ability to translate complex business requirements into technical solutions
- Effective communication and interpersonal skills, with the ability to collaborate, simplify ideas and influence stakeholders at various levels within the organization
- Ability to work under pressure and in a highly autonomous way
- Knowledge of programming languages (e.g., SQL, Python), database systems (e.g., SQL Server) and cloud infrastructures (e.g., AWS).
Benefits
- Hybrid Work Model
- Professional development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Scientist Analyst at BBVA transforming complex data into strategic solutions using machine learning. Collaborating within Banking Ops team to improve operational efficiency and customer experience.
Data Scientist leading key analytical projects at BBVA AI Factory in Madrid. Collaborate with multidisciplinary teams to drive data - driven solutions for banking processes.
Senior Data Scientist focusing on developing generative AI solutions for financial applications at BBVA. Involved in evaluating models, developing analytical solutions, and iterative experimentation processes.
Data Scientist specialized in Machine Learning and Generative AI at BBVA AI Factory. Collaborating with experts to deliver innovative AI solutions for the banking industry.
Data Scientist at BBVA AI Factory focusing on AI solutions in finance. Collaborate to develop AI - driven customer relationship models and analytics to enhance banking processes.
Data Assessor employing machine learning methods to enhance business relationships. Focused on deriving insights and applying data science principles to improve user experience.
Data Science Specialist leading predictive modeling initiatives to support product innovation at Nestlé Nutrition. Collaborating with cross - functional teams to translate complex data into actionable insights.
BI & Visualization Developer at Conduent working on advanced visualizations and supporting analytics solutions. Collaborating with cross - functional teams and mentoring associates in a hybrid environment.
Lead Data Scientist providing data science expertise and technical leadership for Caterpillar aftermarket parts forecasting. Managing complex analytics processes and ensuring accurate insights generation for critical business decisions.