Job Title - Lead Data Scientist

Location - REMOTE

Tax Term (W2, C2C) - W2/C2C

Position Type(Contract/permanent) - CONTRACT

Project Duration - 12 MONTHS

Client company - The client is headquartered in Phoenix and is a leader in the environmental services industry.

Required/must have) 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 Qualifications- 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- Experience with classic sales and marketing modeling problems (segmentation, CLTV, churn modeling, response modeling, etc.) is a plus

Job description -

We are looking 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 requests
• Provides insights and serves as a subject matter expert for department data
• Documents requirements for data science and reporting projects
• Supports the development of standard data analyses, reports, and dashboards
• Collaborates with other teams to gather data and build relationships
• Performs time-series analyses, hypothesis testing, and causal analyses to statistically assess relative impact and extract trends across all relevant functional areas
• Transforms data into actionable insights and recommendations
• Designs experiments and interprets the results to draw detailed and actionable conclusions
• Builds statistical models to enhance understanding of trends and predicts future performance
• Finds new opportunities and novel applications for our core internal data
• Translates and champions our Machine Learning capabilities for non-technical audiences
• Participates in end-to-end data science project lifecycle – data mining and exploration, model development and evaluation, solution deployment in production, measurement and tracking
• Designs, validates and evaluates solutions using R, Python, SQL and other programming tools
• Creates presentations for senior leaders, which are often used to build board level presentations.