Lead Data Scientist

Lead Data ScientistApex Systems is helping one of our clients in the environmental services industry, as they look for a Lead Data Scientist to drive internal data analytics projects related to Business Operations, Sales and Marketing, and Revenue/Pricing Management. The hiring manager is working with Apex Systems and one other partner to find a qualified individual who can work independently with the business to scope and define a project and deliver problems to data science solutions.The ideal candidate will have 7+ years of experience building models, Master's Degree in a quantitative field, experience working in a cloud environment, and knowledge of Python, SQL, R, Spark and more modern ML libraries such as PyTorch, TensorFlow, and Keras. Any experience with classic sales and marketing modeling problems (segmentation, CLTV, churn modeling, response modeling, etc.) is a plus.This position is beginning as a 12 month contract with further chance of extension or conversion to full-time (or we can present candidates as long-term consultants).Position Summary: The Lead Data Scientist drives internal data analytics projects. Projects will vary from short explorations of our data to longer-term implementations of advanced predictive and machine learning models. The Lead Data Scientist constantly explores our existing data while seeking out new data to consume. They apply analytical and data science methods to real world datasets to solve ongoing business problems. The Lead Data Scientist effectively communicates both technical and analytical concepts across all levels of the organization, and they influence the roadmap and decision-making through presentation of data-based recommendations.Principle Responsibilities:Researches and resolves data inquiries and requestsProvides insights and serves as a subject matter expert for department dataDocuments requirements for data science and reporting projectsSupports the development of standard data analyses, reports, and dashboardsCollaborates with other teams to gather data and build relationshipsPerforms time-series analyses, hypothesis testing, and causal analyses to statistically assess relative impact and extract trends across all relevant functional areasTransforms data into actionable insights and recommendationsDesigns experiments and interprets the results to draw detailed and actionable conclusionsBuilds statistical models to enhance understanding of trends and predicts future performanceFinds new opportunities and novel applications for our core internal dataTranslates and champions our Machine Learning capabilities for non-technical audiencesParticipates in end-to-end data science project lifecycle – data mining and exploration, model development and evaluation, solution deployment in production, measurement and trackingDesigns, validates and evaluates solutions using R, Python, SQL and other programming toolsCreates presentations for senior leaders, which are often used to build board level presentations.Required Skills: - 7+ years of experience building models - Master's Degree in a quantitative field - Experience working in a cloud environment - Experience with Python, SQL, R, Spark and more modern ML libraries such as PyTorch, TensorFlow, and Keras Basic Qualification: - Work independently through ambiguous problems - Work with the business to scope and define a project and translate business problems to data science solutions Additional Skills: - Work independently through ambiguous problems - Work with the business to scope and define a project and translate business problems to data science solutions The client is headquartered in Phoenix and is a leader in the environmental services industry. The manager is working with Apex Systems and one other partner to find candidates.