Statistical Modeler

Tatari • Los Angeles, CA

1d • Hybrid

About The Position

We are seeking a Statistical Modeler to join our Data Science team. In this role, you will own multiple data science projects, delivering end-to-end solutions that include KPI development, generating new insights by combining datasets, and maintaining ongoing analytics datasets. You will collaborate closely with data science, product, and engineering teams to enhance existing products and build new capabilities. This includes automating data-driven tasks, developing algorithms, and creating features to guide optimization and expansion opportunities for the business. You will also work cross-functionally within the organization to deliver high-impact, integrated business solutions.

Requirements

• Two Months Experience in Data Science or Data Analytics
• Master’s Degree in Data Science or a related field.
• Applying machine-learning techniques to real world problems.
• Using cloud computing tools and storage systems to develop data science solutions.
• Designing relational database models.
• Large-scale data-mining and machine-learning analysis
• Using MapReduce framework.
• Manipulating large data sets.
• Programming in Python for retrieving, searching, and analyzing data from the Web.

Nice To Haves

• Use predictive modeling, SQL, python, and a machine learning engineering pipeline to deliver the Linear Clearance Predictor.
• Enhance the Linear Clearance Predictor model with additional accuracy enhancements including a price.
• The Linear Clearance Predictor model pipeline is set up for ongoing future iterations and improvements that we can continue to make over the long run for our business.
• The Linear Performance Prediction model has been rebuilt and developed on a machine learning pipeline, using SQL and python, and statistical methods.
• The Streaming Performance Prediction statistical model is developed end-to end using a machine learning pipeline, SQL and python.
• The Linear and Streaming Planning Engines use the above mentioned predictive models and optimization methods.
• The Linear and Streaming Planning Engines also include data science features like built-in explainability.

Responsibilities

• Own multiple data science projects to deliver end-to-end solutions, including the development of KPIs, new insights through the combination of datasets, and maintenance of ongoing analytics datasets.
• Collaborate closely with the data science, product, and engineering teams to improve existing product and build new capabilities including automating data-driven tasks, developing algorithms and features to guide optimization and expansion opportunities for the business.
• Work cross-functionally within the organization to deliver high-impact, integrated business solutions.
• As a subject matter expert on the Data Science team for linear clearance campaign management, create and improve the Linear Clearance Predictor that allows Tatari buyers to quickly project how much budget each client will be able to spend.
• Enhance the Linear Clearance Predictor model with additional accuracy enhancements including a price.
• Develop and maintain the Linear and Streaming Planning Engines, which use predictive models and optimization methods, and include data science features like built-in explainability.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level