Your Career

As a Lead Data Scientist you will be responsible for building AI and Data Science models and combining them with existing business processes to drive business value and growth. You will need to be able to understand how data science works in a business, turn data into insights, meaningfully measure results, and communicate the models and insights to stakeholders.

This role will have a significant impact on the success of our data science projects ranging from choosing which projects should be undertaken, to delivering the highest quality solutions, ultimately enabling our business processes and products with AI and Data Science solutions.

Your Impact

• Use analytical rigor and statistical methods, programming, data modeling, and advanced mathematics to analyze large amounts of data, recognizing patterns, identifying opportunities, posing business questions, and making valuable discoveries
• Understand and analyze data sources including sampling biases, accuracy, and coverage
• Be able to explain approaches and results to a variety of audiences
• Break apart problems scientifically, providing insight into your recommendations and findings to both technical and non-technical partners
• Research new ways for modeling and predictive behavior for large scale projects
• Generate and test hypotheses, designing experiments to answer targeted questions of advanced complexity
• Collaborate with data engineers to identify data preparation, cleansing, and ETL pipelines
• Documents projects including business objectives, data gathering and processes, leading approaches, final algorithm, and detailed set of results and analytical metrics
• Validate model performance and business outcomes

Your Education

• Minimum 5+ years of relevant industry experience with BS in Computer Science, Statistics, Business Analytics, Artificial Intelligence, or a related field 

Preferred Education & Experience

• MS in Computer Science, Business Analytics, Artificial Intelligence
• The candidate should have a minimum of 6 years’ experience in using data science to solve business problems
• Evidence of proven delivery of business value using data
• Experience designing unsupervised machine learning algorithms using big data sets
• Experience with Python, R, SQL, SFDC, Tableau, and various data science platforms
• Familiarity with Google Cloud Platform