The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. Responsibilities
Analyze raw data: assessing quality, cleansing, structuring for downstream processing
Design accurate and scalable prediction algorithms
Collaborate with engineering team to bring analytical prototypes to production
Generate actionable insights for business improvements
Bachelor's Degree with course work in analytics, statistics, computer science, informatics, and/or mathematics and 2+ years of experience Required Or a Master's Degree with course work in analytics, statistics, computer science, informatics, and/or mathematics Required or 4+ years of experience and passion for leveraging data to drive significant organizational impact. Required Exp w/Shiny, Dash, Flask,or Streamlit to build user-facing interfaces, connect to backend data pipelines, and deploy lightweight analytic applications Required 2 Years Experience connecting to backend data pipelines, and deploy lightweight analytic applications Required 2 Years Experience using (R, Python, SQL, etc.) to manipulate and draw insights from large data sets as well develop software for automation Required 2 Years Advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) Required 2 Years Experience with data manipulation to include cleansing, standardizing, and transforming Required 2 Years Broad knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) Required 2 Years Strong understanding of relational and dimensional databases, theories, principles, and practices Required 2 Years Experience in leading workshops or training sessions with a user community a plus Required Exceptional analytical, conceptual, and problem-solving abilities Required Experience generating and distributing visualizations to a broad range of audiences Required Must inhabit strategic thinking Required Strong written/oral communication and presentation skills Required Resourceful self-starter and highly motivated team player Required Able to perform well in a fast-paced environment Required Effective communicator and someone who enjoys getting to understand nuances of a problem Required Experience with the following concepts or tools (geocoding and geospatial data, shiny, network diagraming, neo4j, Docker, Kubernetes) Highly desired