Data Scientist

•     Bachelor’s degree in Computer Science, Information Technology, or related field
Academic experience in deploying data science solutions
•       Academic experience in Time Series modeling and the complexity of Time Series
•       Academic Bayesian modeling and Bayesian inference
•       An understanding of uncertainty principles in modeling and leveraging distributional predictions to represent uncertainty and risk
•      Collaboration skills and experience (academic or otherwise) working with cross-functional teams and effectively communicating findings and recommendations to non-technical stakeholders
•       An entrepreneurial mindset
•       A team-player and a team-first mentality
•       Baseline oral and written communication skills
•       Baseline Data storytelling skills
•       A highly detail-oriented and organized working style—ensuring model documentation excellence
•       Business, economic, and financial acumen

A person will stand out if they have one or more of the following:

•       Participated in a real-world capstone or internship where you utilized your academic knowledge to generate business outcomes
•       3+ years of work experience in Data Analysis, Data Science, Business Analytics, Marketing, Media, Advertising, or Consulting
•       The ability to quantify the indirect effect of treatments utilizing Bayesian Networks or Halo Effects
•       Knowledge or insight in incorporating expert qualitative business knowledge and A/B test results to adjust and tune model results
•       Familiarity with conformal prediction, and diffusion methods is a plus
•       Academic or real-world experience with applying integer and linear optimization methods
•       Knowledge and passion for the Marketing Domain
•       Experience working in CPG, Media, or Retail data
•       Domain knowledge of marketing and/or Market Mix Models
•       Up-to-date and passion for staying current with various modeling techniques and a demonstrated history of utilizing champion challenger principles to ensure the model
•       Some computer science or product data science experience (academic or otherwise)
•       Experience working with or developing large-scale codebases
•       Experience working with Bitbucket, Git, Google Cloud Platform
•       Completed a thesis/dissertation, have published research, or evidence of a strong academic focus in an applied nature directly related to the job at hand

Responsibilities:
•       Learn and execute the company's Marketing Mix Model and Budget Allocation Optimizer
•       Work closely with lead data scientists to perform model enhancement experiments in a guided environment
•       Perform exploratory data analysis and communicate anomalies
•       Evaluate/Validate results and communicate findings to the agile MMM team which includes data scientists, product managers, and business analysts
•       Make the connections between model outputs in the business, marketplace, competitive, and economic context
•       Work within a large production codebase
•       Research and analyze data to find deep relations within data to be used in the ML/AI algorithms
•       Bring hypotheses to the team and assist in experimental design to test hypotheses
•       Collaborate with other members of the team to support investigation across a variety of topics
•       Research, recommend, and apply appropriate statistical, econometric, mathematical, and computational modeling concepts across domains
•       Work to grow into a senior data scientist