BA
Data Manager leading data strategy and governance for Global Payments Solutions at Bank of America. Managing data architecture aligning with business and regulatory needs while overseeing complex data ecosystems.
About the role
- Data Scientist working on AI and machine learning solutions for LexisNexis. Collaborating with teams to leverage data science for innovative product development.
Responsibilities
- Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.
- Contributing to the development of advanced AI and machine learning models to solve complex business problems.
- Analyzing large datasets to identify patterns and trends that can inform AI development.
- Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.
- Evaluating and creating new frameworks and defining methodologies and governance.
- Working with product leaders to apply data science solutions.
Requirements
- Bachelor's / Master's degree plus 3+ years of work-related experience OR PhD with 2+ years of work-related experience
- Have experience working directly with large language models and transformer-based architectures including BERT, RoBERTa, T5 etc.
- Proficient working with big data technologies and tools like Databricks and AWS.
- Have experience and knowledge of applying LLMs including from OpenAI, Anthropic, Mistral, etc.
- Be a natural problem solver and collaborate with cross-functional teams.
- Demonstrate proficient experience with machine learning algorithms, including deep learning, gradient boosting, and random forests.
- Possess programming skills in Python or other relevant languages for AI.
Benefits
- Comprehensive, multi-carrier program for medical, dental and vision benefits
- 401(k) with match and an Employee Share Purchase Plan
- Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
- Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
- Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
- Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
- Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Scientist developing and implementing LLM - based agents and leveraging AI techniques to improve client value. Collaborating on project challenges in a dynamic, start - up environment at Gartner.
Data Scientist in AI SaaS integrating 100+ systems for a European unicorn - in - the - making. Ensure scalability, security, and performance in a high - growth environment.
Data Science Intern working on AI - driven recipe and hardware optimization problems in semiconductor processes. Developing machine learning models and collaborating with engineering teams for innovative solutions.
Senior Data Scientist at LexisNexis developing AI - driven solutions for legal analytics. Collaborating with teams to implement machine learning models and monitor performance metrics.
Product Analyst for a leading media tech company managing SEO - friendly content and commercial campaigns. Collaborate with teams for digital content production and user engagement analysis.
Data Scientist at Capital One leveraging machine learning models for credit underwriting decisions. Partnering with data scientists, engineers, and product managers using advanced technologies.
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.
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.