Software Engineering - Lead Data Scientist

This role will focus on building and operationalizing machine learning solutions that support business decision-making and scoring at scale. The Lead Data Scientist will partner closely with engineering and cross-functional stakeholders to deliver reliable data pipelines, strong data quality, and production-ready models. The position also calls for leadership in technical design, code review, experimentation, and mentorship within a collaborative environment. Experience with modern ML, LLMs, and cloud-based deployment will be important as the team advances data-driven capabilities., * Build and maintain Python data pipelines for large datasets

• Profile and validate data, implementing quality checks to ensure trustworthiness
• Develop machine learning models from problem framing through evaluation
• Deploy models to AWS for batch and real-time scoring, while monitoring performance and drift
• Design and analyze A/B tests to measure business impact and communicate results
• Lead design discussions, code reviews, and mentor team members
• Collaborate with cross-functional teams to ensure secure handling of consumer data

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field
• Strong Python skills for data engineering and ML, including libraries such as pandas and NumPy
• Experience building data pipelines and processing large datasets with technologies such as Spark or Redshift
• Hands-on experience with ML frameworks such as XGBoost, TensorFlow, or PyTorch
• Experience operationalizing ML models in AWS, including deployment and monitoring
• Familiarity with LLMs and Generative AI solutions, including prompt design and evaluation
• Strong grounding in statistics and experimental design

• Inclusive culture reflecting core values of ownership, customer delight, and respect
• Opportunities for professional development and leveraging unique strengths
• Highly competitive compensation and rewards programs
• Engaging work environment promoting work/life balance and social interaction

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification-your background could be exactly what this team needs.