Senior Data Scientist

As a Senior Data Scientist at Liftoff, you will: 

• Design, develop, and implement statistical and machine learning models to predict competitive bidding landscape, click through rate, conversion/action rate, ad relevance to users.

• Analyze data to identify useful relations, patterns and features that are predictive of user behaviors, preferences, intents, and interests.

• Continuously identify and explore new and unconventional data sources.

• Generate hypothesis and design effective online experiments to continuously iterate and improve on algorithm performance.

• Take on unique modeling challenges of data sparsity, delayed feedback, as well as modeling in the context of privacy restrictions.

• Work with engineering and operations teams to build systems and operational capabilities for implementing models and algorithms and monitor and evaluate their health and effectiveness in production.

• Use strong communication skills (verbal and written) to explain statistical and machine learning concepts to both technical and non-technical audiences.

• Build systems that enable real-time recommendations for billions of ad requests daily.

• Focus on the mobile app ecosystem, leverage and combine company’s enormous and unique datasets to model click rate, conversion rates, bid prices, win rates and post-install user lifetime values.

• Match company content across tens of thousands of apps.

• Develop models and algorithms behind our products, which help customers to maximize the value of users and the return on their ad spend.

• Telecommuting is permitted. Employee may request to work from any city & county in the following states: CA, CO, ID, IL, GA, MA, MO, MN, NJ, NV, NY, OR, RI, TX, UT, WA.

• Salary: $159,400 - $220,000 per year.

   

  MINIMUM REQUIREMENTS: Master’s degree or U.S. equivalent in Computer Science, Statistics, Math, Data Science, Engineering, or a related field, plus 3 years of professional experience as a Data Scientist, Machine Learning Engineer, Machine Learning Research Scientist, or any occupation/position/job title involving statistical modeling, machine learning, and probability distributions.

  Must also have experience in the following: 3 years of professional experience performing conversion rate, return on ad spend (ROAS), and customer lifetime value (LTV) modeling for mobile applications; 3 years of professional experience formulating hypotheses, structuring experiments, and carrying through independent investigations; 3 years of professional experience connecting to data sources and prototyping data pipelines; 3 years of professional experience deploying effective machine learning (ML) models to production; 3 years of professional experience utilizing Python, SQL, and TensorFlow/PyTorch;  3 years of professional experience utilizing AWS (including Redshift and S3); 1 year of professional experience utilizing auction dynamics and bidding strategies; and 1 year of professional experience utilizing Bayesian statistics and modeling.

Please apply online at: https://liftoff.io/company/careers/

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