Information Technology_USA - USA_Developer

Data Scientist

Join the newly consolidated Data & Analytics (D&A) organization supporting the U.S. business. Build Machine Learning and Generative AI solutions that power marketing campaigns and business engagement initiatives. Provide hands-on technical leadership for the design, development, deployment, and operation of AI/ML solutions in a regulated enterprise environment. Own technical architecture, solution design, and implementation decisions while ensuring scalability, reliability, and compliance with governance and risk standards. Collaborate with architects, data engineers, platform engineers, DevOps, product teams, and business stakeholders to deliver enterprise AI solutions.

Lead a team of Data Scientists delivering AI and Machine Learning solutions for marketing and business engagement use cases. Own technical decisions, project delivery, implementation timelines, and production stability within the assigned domain. Lead planning and execution of data science initiatives aligned with business goals and objectives. Design, develop, train, optimize, and deploy Machine Learning and Deep Learning models. Analyze complex datasets to identify trends, patterns, and actionable business insights. Collaborate with cross-functional teams to develop and implement data-driven solutions. Integrate AI capabilities into business applications through APIs, SDKs, and microservices. Present insights, reports, and recommendations to senior leadership and business stakeholders. Develop statistical models, predictive analytics, and Machine Learning algorithms using Python and Azure cloud technologies. Research and implement emerging AI, Machine Learning, and Data Science technologies. Apply ML-Ops best practices to optimize platform efficiency, scalability, reliability, and cloud-native architectures.

Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field. 8+ years of experience in AI/ML Engineering and/or Data Science. 5+ years of experience in the insurance and/or financial services industry supporting sales, marketing, or customer engagement analytics. Proven experience designing, deploying, and managing production ML and/or Generative AI solutions. Experience building Machine Learning models using Python, preferably in cloud environments. Experience developing APIs, batch processing, and real-time inference solutions. Strong understanding of Responsible AI, including data privacy, bias mitigation, and model monitoring. Strong SQL skills with expertise in Exploratory Data Analysis (EDA) and data anomaly detection. Experience with Dominos, Power BI, and/or Azure Machine Learning. Strong knowledge of statistics, mathematics, and predictive modeling. Experience developing AI solutions to improve customer engagement, communications, revenue generation, ad targeting, and business outcomes. Excellent presentation, storytelling, visualization, written, and verbal communication skills. Strong analytical thinking and problem-solving abilities.

Opportunity to work with a dynamic team in a fast-paced environment. Exposure to cutting-edge technologies and methodologies. Supportive and collaborative work culture.