Position: Sr Data Scientist / AI engineer
Location: Boston, MA(Hybrid 3x in office)
Employment Type: Contract-to-hire
Contract Duration: 1-2 years
The Senior Data Scientist is responsible for the design and development of advanced generative, recommender and predictive models that will generate value creation. This role involves ensuring the performance and accuracy of solutions, staying abreast of the latest AI research and methodologies (particularly in the domains of natural language processing, predictive analytics and information retrieval), as well as promoting and implementing data science best practices.
Responsibilities
Thought partner to Head of AI and Product Manager at identify opportunities to unlock value in the industry by leveraging distinctive AI expertise (machine learning and generative AI) to drive business solutions.
Lead the design, development, validation, and deployment of innovative, performant and scalable AI engines, applying rigorous testing to ensure alignment with business objectives.
Conduct advanced statistical analysis to provide actionable insights, identify trends, and measure performance.
Apply A/B testing framework to test models' quality and integrate data insights into the business processes.
Coordinate with different functional teams to implement models, design processes and tools to monitor and analyze model performance and data quality.
Drive the AI methodology R&D agenda to ensure CLIENT continues to offer added value by best-in-class AI approaches in fast-moving landscape.
Key Skills
Domain Expertise
MS/PhD(Computer Science or Electronics), or MS in Computer Applications, Economics, Statistics or Mathematics or related technical discipline
5+ years of deep applied expertise at developing and deploying complex AI/ML solutions preferably in a
financial services context
Strong and deep knowledge of a broad set of AI methodologies: Generative AI & Agentic AI, deep
learning, natural language processing, supervised learning (classification, regression), reinforcement learning
Proficiency in Python is required together with multiple popular advanced analytics frameworks e.g.
pandas, spark, scikit-learn, langchain, langchain, llamaindex, tensorflow, pytorch
Experience with popular cloud-based ML platforms (AWS SageMaker, Azure Machine Learning) is a plus
Strong applied understanding of MLOps / LLMOps best practice
Experience to merge and transform disparate internal & external data sets together to create inputs for AI
Agile + Digital Experience
Openness to working in Agile environments with multiple stakeholders
Strong communication and collaboration skills to understand business partner needs and deliver solutions
Individual Skills
Professional attitude and service orientation; team player
Quick learner to business needs and translate them into potential analytics solutions
Strong analytical and problem-solving skills; healthy skepticism around validity of data and its biases
Good verbal and written communication skills
Mindset & Behaviors
Exemplary organizational skills with attention to detail & accuracy
Ability to coach, mentor, and collaborate with business partners, analysts, and team members
Attitude to thrive in a fast-paced environment, Open minded to new approaches of learning