Work with existing business partners to identify opportunities for new AI/ML solutions
Train new machine learning models to solve complex business problems
Prototype new AI solutions, including Generative AI
Develop new Agentic AI solutions to streamline business processes
Enhance existing model solutions as business and technology evolves
Provide guidance on business problems using statistical methods
Build statistical models that depict company-wide trends
Perform testing and validation of data sets
Work on and refine storytelling skills to convey ideas and results to leadership, customers, and stakeholders

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field
5+ years of experience in machine learning, engineering, data science, or a related field
Programming & Frameworks: Python, R, Java, PySpark, PyTorch, TensorFlow, Scikit-learn, LangChain, SQL
Machine Learning & AI: Large Language Models (LLMs), Generative AI, RAG, Deep learning, Reinforcement Learning, Natural Language Processing (NLP), SVM, XGBoost, Random Forest, Decision Trees, Clustering
Data Engineering: Databricks, Hadoop, SQL, Data Pipelines, Data Preprocessing & Feature Engineering
Cloud & Big Data Platforms: (Preferred Microsoft Azure, AWS or Google Cloud Platform)
Deployment & MLOps: MLflow, Model Monitoring & Versioning, Docker & Kubernetes, GitHub, Jira
Data Analysis & Visualization: Tableau, PowerBI, Pandas, NumPy
Proven track record delivering AI/ML solutions to customers
Excellent communication and collaboration skills
Strong problem-solving mindset and a proactive attitude towards learning and self-improvement.

From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions.

AI/ML Data Scientist

Key skills