Sr Data Scientist

Essential Responsibilities:

• Understand business problems and identify opportunities to implement Data Science solutions.
• Design, develop, and implement machine learning and artificial intelligence models and algorithms.
• Understand various business processes pertaining to Analytics Development Process
• Collect, preprocess, and analyze large datasets to be used for training and testing machine learning models.
• Ensure data quality and integrity throughout the data pipeline.
• Conduct experiments to develop model and evaluate model performance and iterate on model improvements.
• Work with Data Engineering teams to deploy data science models into production environments.
• Monitor and maintain deployed models to ensure they perform as expected.
• Work closely with data architects, data engineers, and other stakeholders to understand business requirements and translate them into technical solutions.
• Provide technical support and guidance on machine learning-related issues.
• Optimize machine learning models for performance, scalability, and efficiency.
• Implement techniques to improve model accuracy and reduce computational costs.
• Stay up to date with the latest advancements in machine learning and artificial intelligence.
• Explore and implement new machine learning and artificial intelligence techniques and tools to enhance the team's capabilities.
• Maintain comprehensive documentation of machine learning models, algorithms, and processes.
• Ensure knowledge transfer and continuity within the team.

Qualifications/Requirements:

• Masters or PhD degree in Statistics, Machine Learning, Computer Science or related STEM fields (Science, Technology, Engineering and Math) with analytics development experience
• Proficiency in Python (mandatory).
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Ability to work in a fast-paced, dynamic environment.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their machine learning services.
• Familiarity with Python web frameworks

Desired Characteristics:

• Influences PBs on their decisions.
• Implements a roadmap.
• Evaluates, down selects, and has awareness of advanced models for deriving new features in relation to the source of data.
• Can fit parameters for complex physics models.
• Develops ongoing hypothesis testing for model validity.
• Runs change point assessments and predictive models to project time series.
• Executes validation reproducibility, and deployment criteria.
• Able to use a variety of approaches (sequential sampling/ experimentation and observational studies) to generate cost-effective and representative samples.
• Understand advanced methods to trade off interpretability vs predictive complexity.
• Can articulate the top pitfalls and misleading graphical representations.
• Proficient with local and distributed operating environments.
• Humble: respectful, receptive, agile, eager to learn
• Transparent: shares critical information, speaks with candor, contributes constructively
• Focused: quick learner, strategically prioritizes work, committed
• Leadership ability: strong communicator, decision-maker, collaborative
• Problem solver: analytical-minded, challenges existing processes, critical thinker