Roles & Responsibilities:

• Work independently on data science projects for multiple business functions
• Identify and frame the data science opportunity from understanding the business problem / opportunity
• Gather, cleanse, and transform internal and external data
• Analyze data and deliver insights via visualizations and dashboards
• Create predictive models, productionize, and maintain machine learning models that address business problems
• Present, explain and defend results from analysis and modeling, and approach taken
• Participate in strategic planning discussions around data science and big data

Skills Required:

• 5+ years of practical experience framing and solving data science problems
• 5+ years of hands on experience with applied statistics and/or machine learning 
• 5+ years of experience solving problems with Python, pandas, scikit-learn
• 3+ years of experience with TensorFlow, PyTorch or other deep learning technologies
• 3+ years of experience developing visualizations with Python viz, Spotfire or Power BI
• 3+ years of experience applying descriptive and inferential statistics to real world problems
• 3+ years of experience with software source control, software architecture and design, data structures and algorithms
• Professional experience with Transformers, Embeddings, fine tuning Large Language Models (LLMs), Retrieval Augmented Generation (RAG) is a plus
• Professional experience with analysis and modeling of multivariate time series data is a plus
• Professional experience with generative AI is a plus
• Professional experience building recommender systems is a plus 
• Ability to adapt in a rapidly changing environment
• Ability to communicate insights and approaches in a simple, actionable manner
• Ability to work independently and with team members from different backgrounds
• Excellent attention to detail and problem-solving skills

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