Senior Data Scientist (modeling, Python, AWSDatabricks)

• Perform Exploratory Data Analysis (EDA) and initial investigations on data to discover patterns spot anomalies and check assumptions
• Build predictive models using statistical and machine learning techniques with a focus on pricing optimization and elasticity modeling
• Augment ML model experimentation by scaling sensitivity-to-elasticity analyses enabling more experiments and markets to run concurrently
• Design and execute pilot measurement strategies to evaluate model performance in live environments before full deployment
• Continuously measure monitor tune and optimize models within the production environment to ensure health accuracy and business impact
• Create visual representations of data to communicate findings effectively and share with other Data Scientists for input and storytelling
• Work with cross-functional teams including engineers service owners product owners product managers and business stakeholders to understand data needs and challenges
• Prepare reports and presentations to convey insights and recommendations
• Gather data from various sources and ensure its quality and integrity
• Stay updated with the latest tools techniques and industry trends in data science and AI/ML and bring ideas to the table for how to improve the use of data and analytics
• Design and execute comprehensive data analyses using advanced methodologies and statistical modeling to produce insightful reports essential for strategic planning
• Utilize analytical tools and hypothesis-driven analysis to enhance machine learning projects
• Implement cutting-edge AI techniques to boost data analysis efficiency
• Perform data sampling

• Bachelors degree in Mathematics Statistics Computer Science or related field; masters degree preferred
• Typically 5 years of relevant quantitative and qualitative research analytics data science or machine learning experience
• Demonstrated experience with pricing optimization models and elasticity analysis
• Experience and solid understanding of machine learning algorithms and relational databases
• Experience with data science modeling statistics analytics business intelligence or data-driven business strategy
• Proven experience in model measurement monitoring and tuning within a production environment
• Experience managing and delivering complex and technical products
• Experience performing statistical analysis and applying visualization techniques
• Native-level proficiency/fluency in English

• Knowledge of data models and structures as well as database design tools and query languages
• Knowledge of multiple programming languages and statistical analysis tools such as Python C JavaScript R SAS Excel SQL MATLAB and SPSS
• Knowledge of statistical and data mining techniques such as generalized linear models (GLM)/regression random forest boosting trees text mining hierarchical clustering deep learning convolutional neural networks (CNN) and recurrent neural networks (RNN)
• Strong working knowledge of AI/ML techniques with the ability to flex between data science and applied ML roles as business needs evolve
• Experience designing and executing pilot measurement strategies and evaluating experiment results at scale across multiple markets
• Basic knowledge of AI its potential roles in solving business problems and the future trajectory of generative AI models
• Demonstrated communication collaboration and stakeholder management skills to build strong relationships with IT and the business
• Demonstrated data analysis and data modeling skills to identify patterns trends and solutions to complex problems
• Basic technical leadership skills encompassing employee coaching objective setting and fostering professional development
• Ability to clearly communicate concepts and present complex data findings to both technical and business executives
• Ability to conduct statistical analyses and build models with advanced scripting languages
• Attention to detail and ability to maintain data accuracy and integrity

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