Data Scientist / AI engineer

Job Description

Job Description

Salary:

Position: Data Scientist / AI engineer
Location: Chicago, IL(Hybrid 3x in office)
Employment Type: Contract-to-hire

Contract Duration: 6months-1year

The 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 atidentify opportunities to unlock value in the industry
  by leveraging distinctive AI expertise (machinelearning and generative AI) to drivebusiness solutions.
• Lead the design, development, validation, anddeployment of innovative, performant and scalable AIengines, applying rigorous testing to ensure alignmentwith business objectives.
• Conduct advanced statistical analysis to provideactionable insights, identify trends, and measureperformance.
• Apply A/B testing framework to test models' qualityand integrate data insights into the businessprocesses.
• Coordinate with different functional teams toimplement models, design processes and tools tomonitor and analyze model performance and dataquality.
• Drive the AI methodology R&D agenda to ensureCLIENT continues to offer added value by best-inclass AI approaches in fast-moving landscape.

Key Skills:

DomainExpertise:

• MS/PhD(Computer Science or Electronics), or MS in Computer Applications, Economics, Statistics orMathematics or related technical discipline
• 3+ years of deep applied expertise at developing and deploying complex AI/ML solutions preferably in a
  financial services context
• Heavy MS Azure Data Factory experience is a must.
• 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

IndividualSkills:

• 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