Director, Data Science

Job Description:

Position Description: 

Builds algorithms using programming languages (Python, C++, or Java), Machine Learning (ML) (scikit-learn), and Deep Learning (DL) frameworks (PyTorch or TensorFlow). Collects requirements and delivers Artificial Intelligence (AI) and ML solutions that drive customer and business value. Creates Web applications employing front-end technologies – React.js. Develops AI models on Cloud platforms – Amazon Web Services (AWS) Sagemaker. Uses visualization dashboard tools for result monitors – Tableau or Qlik Sense. Collaborates closely with the Product Owner to define tasks for upcoming sprints and manages stories, using Jira Tool. Oversees end-to-end AI/ML lifecycle management, including model versioning, data drift monitoring, and MLOps standards, using MLflow, Jenkins, or Amazon SageMaker Pipelines, to ensure scalable and reliable AI solutions in production.  

Primary Responsibilities: 

• Develops and deploys AI models to address business needs by understanding the business problem, researching possible solutions, and prototyping AI capabilities. 

• Works closely with AI teams, business stakeholders, and deployment teams to ensure alignment with business objectives. 

• Trains and deploys advance DL and Natural Language Processing (NLP) models (RNNs, Seq-to-Seq, BERT, Adversarial Networks, LSTMs, GANs at scale. 

• Performs orchestration of training workflows, inference endpoints, and batch predictions. 

• Performs model evaluation, tuning, and scalability using distributed systems, parallel and multi-threaded programming techniques, and high-performance GPU environments.  

• Supports the operational deployment of AI/ML solutions. 

• Leads and oversees the full AI/ML lifecycle --data ingestion, model development, training, deployment, and monitoring.  

• Develops and delivers projects involving large-scale multi-dimensional databases and big data technologies, in collaboration with cross-functional teams and enterprise infrastructure. 

• Evaluates and makes decisions around the use of new or existing tools for a project. 

• Analyzes user needs and develops software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis.  

• Researches, designs, and develops computer and network software or specialized utility programs. 

Education and Experience: 

Bachelor’s degree in Data Analytics, Computer Science, Engineering, Information Technology, Information Systems, Information Management, Business Administration, or a closely related field (or foreign education equivalent) and six (6) years of experience as a Director, Data Science (or closely related occupation) building algorithms using programming languages (Python, C++, Java, or Spark) and Machine Learning (ML) or Deep Learning (DL) frameworks (scikit-learn, Tensorflow, PyTorch, or Keras), to deploy applications in a financial services environment.  

Or, alternatively, Master’s degree in Data Analytics, Computer Science, Engineering, Information Technology, Information Systems, Information Management, Business Administration, or a closely related field (or foreign education equivalent) and four (4) years of experience as a Director, Data Science (or closely related occupation) building algorithms using programming languages (Python, C++, Java, or