Mastercard
Overview
We are seeking a highly skilled and visionary Lead Data Scientist to spearhead the development of advanced AI solutions that drive innovation and deliver measurable impact across the business. This role involves leading complex AI initiatives, architecting scalable machine learning systems, and mentoring a team of engineers and data scientists. The ideal candidate combines deep technical expertise with strategic thinking and strong leadership capabilities. Responsibilities
Lead complex initiatives and projects to derive insights and automation from AI models and systems to solve critical business questions Translate client/stakeholder needs into AI/Gen AI-driven technical solutions in collaboration with internal and external partners and present findings and outcomes to clients/stakeholders Identify rich data sources and oversee the integration, cleaning, and transformation of datasets to ensure consistency and readiness for AI applications Deliver high-quality AI/Gen AI solutions and tools within agreed-upon timelines and budget parameters, and conduct post-implementation reviews Guide others to develop sophisticated AI models and engineering solutions (e.g., intelligent agents, recommendation engines, prototypes) utilizing advanced machine learning, deep learning, and generative AI techniques Serve as a technical coach for junior-level colleagues and develop technical talent via ongoing technical training, peer review, and mentorship All About You / Qualifications
Strong experience delivering data science and machine learning solutions from concept to production, including model deployment, monitoring, and performance optimization. Strong programming skills in Python (NumPy, Pandas, SciPy, scikit-learn) and experience with statistical modeling, predictive analytics, and data-driven experimentation. Hands-on experience with deep learning frameworks (TensorFlow, PyTorch) and transformer-based architectures (e.g., BERT, GPT, ViTs, etc.) Expertise in machine learning, deep learning, NLP, and MLOps practices (CI/CD for ML, model registry, feature stores). Proficiency in data engineering concepts: building scalable pipelines for batch and streaming data (Spark, Hadoop) and working with SQL/relational databases. Familiarity with cloud platforms (AWS, Azure, GCP) for data science workflows and model deployment. Strong foundation in mathematics and statistics; advanced degree (Master’s or PhD) in Applied Mathematics, Statistics, Computer Science, or related field is preferred. Skilled in data visualization and storytelling to translate complex analyses into actionable business insights. Excellent communication and stakeholder management skills; ability to present findings to both technical and non-technical audiences. Demonstrated leadership and mentoring experience, fostering growth in technical teams and guiding research or applied projects. Ability to quickly learn new tools and technologies and adapt to evolving business needs. About Mastercard
Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disability or veteran status, or any other characteristic protected by law. In the US or Canada, accommodations are available by contacting reasonable_accommodation@mastercard.com. Pay, Benefits & Locations
Salary ranges and benefits are provided for transparency. Job posting window: Applications accepted on an ongoing basis. Remote options and locations include Atlanta, GA; Austin, TX; O\'Fallon, MO; Remote - NY. Benefits include medical, dental, vision, life insurance, 401k with company match, paid time off, and more. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries: Financial Services, IT Services and IT Consulting, Technology, Information and Internet
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We are seeking a highly skilled and visionary Lead Data Scientist to spearhead the development of advanced AI solutions that drive innovation and deliver measurable impact across the business. This role involves leading complex AI initiatives, architecting scalable machine learning systems, and mentoring a team of engineers and data scientists. The ideal candidate combines deep technical expertise with strategic thinking and strong leadership capabilities. Responsibilities
Lead complex initiatives and projects to derive insights and automation from AI models and systems to solve critical business questions Translate client/stakeholder needs into AI/Gen AI-driven technical solutions in collaboration with internal and external partners and present findings and outcomes to clients/stakeholders Identify rich data sources and oversee the integration, cleaning, and transformation of datasets to ensure consistency and readiness for AI applications Deliver high-quality AI/Gen AI solutions and tools within agreed-upon timelines and budget parameters, and conduct post-implementation reviews Guide others to develop sophisticated AI models and engineering solutions (e.g., intelligent agents, recommendation engines, prototypes) utilizing advanced machine learning, deep learning, and generative AI techniques Serve as a technical coach for junior-level colleagues and develop technical talent via ongoing technical training, peer review, and mentorship All About You / Qualifications
Strong experience delivering data science and machine learning solutions from concept to production, including model deployment, monitoring, and performance optimization. Strong programming skills in Python (NumPy, Pandas, SciPy, scikit-learn) and experience with statistical modeling, predictive analytics, and data-driven experimentation. Hands-on experience with deep learning frameworks (TensorFlow, PyTorch) and transformer-based architectures (e.g., BERT, GPT, ViTs, etc.) Expertise in machine learning, deep learning, NLP, and MLOps practices (CI/CD for ML, model registry, feature stores). Proficiency in data engineering concepts: building scalable pipelines for batch and streaming data (Spark, Hadoop) and working with SQL/relational databases. Familiarity with cloud platforms (AWS, Azure, GCP) for data science workflows and model deployment. Strong foundation in mathematics and statistics; advanced degree (Master’s or PhD) in Applied Mathematics, Statistics, Computer Science, or related field is preferred. Skilled in data visualization and storytelling to translate complex analyses into actionable business insights. Excellent communication and stakeholder management skills; ability to present findings to both technical and non-technical audiences. Demonstrated leadership and mentoring experience, fostering growth in technical teams and guiding research or applied projects. Ability to quickly learn new tools and technologies and adapt to evolving business needs. About Mastercard
Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disability or veteran status, or any other characteristic protected by law. In the US or Canada, accommodations are available by contacting reasonable_accommodation@mastercard.com. Pay, Benefits & Locations
Salary ranges and benefits are provided for transparency. Job posting window: Applications accepted on an ongoing basis. Remote options and locations include Atlanta, GA; Austin, TX; O\'Fallon, MO; Remote - NY. Benefits include medical, dental, vision, life insurance, 401k with company match, paid time off, and more. Seniority level
Mid-Senior level Employment type
Full-time Job function
Engineering and Information Technology Industries: Financial Services, IT Services and IT Consulting, Technology, Information and Internet
#J-18808-Ljbffr