Job Description
Job Description
Salary :
Position : Data Scientist / AI Engineer
Location : Atlanta, GA (Hybrid 3x in office)
Employment Type : Contract-to-hire
Contract Duration : 6 months-1 year
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 the Head of AI and Product Manager at identify opportunities to unlock value in the industry
by leveraging distinctive AI expertise (machinelearning and generative AI) to drivebusiness 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 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 ensure CLIENT continues to offer added value by best-in-class AI approaches in a fast-moving landscape.Key Skills : DomainExpertise :
MS / PhD(Computer Science or Electronics), or MS in Computer Applications, Economics, Statistics orMathematics or related technical discipline3+ years of deep applied expertise at developing and deploying complex AI / ML solutions, preferably in afinancial 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, deeplearning, 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 plusStrong applied understanding of MLOps / LLMOps best practiceExperience to merge and transform disparate internal & external data sets together to create inputs for AIAgile +Digital Experience :
Openness to working in Agile environments with multiple stakeholdersStrong communication and collaboration skills to understand business partner needs and deliver solutionsIndividualSkills :
Professional attitude and service orientation; team playerQuick learner to business needs and translates them into potential analytics solutionsStrong analytical and problem-solving skills; healthy skepticism around the validity of data and its biasesGood verbal and written communication skillsMindset & Behaviors :
Exemplary organizational skills with attention to detail & accuracyAbility to coach, mentor, and collaborate with business partners, analysts, and team membersAttitude to thrive in a fast-paced environment, Open-minded to new approaches to learning