Senior Deep Learning Researcher

Bigabid is an innovative technology company led by data scientists and engineers devoted to mobile app growth. Our proprietary ad platform is powered by machine learning and is constantly improving its distribution algorithms.

We deliver valuable results and insights for a fast-growing clientele of major app developers using elite programmatic user acquisition and retargeting technologies.

Our ever evolving, state-of-the-art machine learning technology analyzes tens of TB of raw data per day to produce millions of ad recommendations in real-time. This data is used to power machine Learning predictions, business critical metrics, and analytics used to power our decision making process.

We are looking for a senior DL researcher who is passionate about exploring complex data sets, drawing meaningful insights, and building high-quality real-time data products that complement our robust arsenal of industry-leading technologies.

As a senior DL researcher at Bigabid, you will be creating high-impact Machine Learning projects. In close coordination with stakeholders, you will play a major role in driving the data science roadmap and execution by providing the best solution to a game changer business problem.

Responsibilities

• Deliver end-to-end ML products - including research, model development, prototyping, offline validation, implement in production, and online testing
• Be a key player in the DS group - providing insights, best practices, novel techniques and research, and technical know-how to other data scientists
• Develop ML solutions using advanced DL techniques to a diverse set of problems.
• Analyze huge amounts of complex data to identify meaningful patterns and build useful features for machine learning models
• Apply the scientific method to design, create, tune, and interpret machine learning models
• Perform data manipulation, validation, and cross-domain research
• Come up with new and creative research ideas and insights
• Collaborate with our product and engineering teams to solve problems and identify trends and opportunities.
  
  

• 5+ years experience as a Data Scientist
• 2+ years experience working with Deep Learning.
• Experience working with recommender systems - an advantage
• Hands-on experience building and deploying deep learning models to production
• High level scripting and programming skills in Python
• Superior verbal, visual, and written communication skills to educate and work with cross functional teams on controlled experiments.
• Team player, responsible, delivery-oriented
• Troubleshooter, problem-solver who knows how to navigate trade-offs
• Work experience as a data analyst - an advantage
• At least a Master's degree in Computer Science, Math, Physics, Engineering, Statistics or other technical field.
• Experience in ML over user personalization, ad-tech, or highly imbalanced data- an advantage.