Staff Data Scientist, Platform Science

• 7+ years of experience in a data science or machine learning role
• 3+ years experience in mentorship or leadership roles, with the proven ability to provide guidance and support as a subject matter expert to other data team members and stakeholders
• Deep understanding of machine learning libraries (scikit-learn, TensorFlow, etc.) and algorithms
• Advanced knowledge of statistics and experience using statistical packages for analyzing datasets (Python, numpy, pandas, R, etc.)
• Expertise in statistical analysis, hypothesis testing, and experimental design, and strong knowledge of probabilistic models, Bayesian inference, time series analysis, A/B testing, and multivariate analysis
• Proven track record of building, deploying, and maintaining machine learning models in production
• Experience working with large datasets and optimizing models for scalability and performance
• Experience with machine learning platforms/services such as SageMaker, Bedrock, Gemini, Vertex, Azure Machine Learning, Databricks etc
• Expert SQL skills including multiple-table joins, unions, sub-queries, CTE, aggregations, temporary tables, and analytical functions
• Experience with reporting and visualization tools such as Looker, Tableau, Domo etc
• Technical expertise regarding all things data, including: mining, modeling, transforming, cleansing, and validating
• Ability to take vague requests and transform them into concise deliverables at a level of detail appropriate to the target audience, with attention to detail and accuracy
• Ability to manage and prioritize projects, balancing short-term needs with long-term strategic goals
• Strong written and verbal communication skills for explaining complex technical concepts to non-technical stakeholders
• BS in Data Science, Statistics, Mathematics, Economics, Computer Science, Information Management or equivalent experience

Desirable

• We are looking for a Staff Data Scientist to help us process large amounts of raw data into strategic insights for consumption by our Product, Engineering, and Leadership teams
• In this role you will lead the evaluation, design, and implementation of machine learning models and statistical analyses to support key business objectives
• As a Staff Data Scientist, you will play a critical role in driving data-driven decision making at Platform Science and expanding the company’s data science capabilities
• Conduct comprehensive evaluation of ML opportunities and summarize findings and recommendations to address business use cases and inform the data science strategy
• Collaborate with other Data Science team members and Product leaders to define the data science strategy and roadmap for Platform Science
• Utilize advanced data mining and machine learning techniques, such as natural language processing, deep learning, and neural networks, to solve complex business problems
• Leverage our modern data stack (dbt, Snowflake) to filter, clean, and transform data from a variety of sources
• Work closely with our product and engineering teams to help address their questions and goals with analytics and data science solutions
• Communicate findings and recommendations to stakeholders in a clear and concise manner
• Contribute to the development of the company's data science capabilities, including implementing best practices and processes
• Mentor and provide guidance to mid-level data scientists to help them grow and develop their skills