Senior Data Scientist

Why we are recommending

• An opportunity to work in the exciting and rapidly growing mobile adtech industry.
• Ability to gain valuable knowledge of mobile apps' ecosystem, and impact the status quo of the world's mobile performance ecosystem.
• Flat hierarchy – we encourage and let people to be self-driven and give freedom to act.

Responsibilities

• Develop and improve the performance of CPI and CPA models of our mobile programmatic platform.
• Develop supportive solutions to help models better achieve their goals.
• Own data science roadmap, suggest, evaluate, and prioritize the items in the pipeline based on their impact.
• Design the process for testing the updated models' and performance evaluation.
• Research various aspects of programmatic ecosystem to fuel our ML stack with the data from the perspectives of user quality, performance of creatives, placement optimizations, post-install events, fraud detection, audience building (look-alike, user graph).
• Suggest and optimize models'/data pipelines implementations to maximize the performance of ML stack.

Requirements

• Excellent progrœamming skills — Python.
• Experience with ML tools and libraries such as Pandas, Vowpal Wabbit, Scikit-learn. Experience with PySpark would be a plus.
• Being capable of deploying the models in production taking into account all limitations and subsequent optimization.
• A willingness to dive deep, experiment rapidly and get things done.
• Attention to details, data accuracy, and quality of output.
• Strong analytical skills and thinking several steps ahead to focus on outcomes.
• 3+ years of experience in data science and solving real-life problems.
• Advanced problem-solving capabilities, proactivity in hypothesis, being able to drive the processes on your own.
• Experience in adtech is a plus. Experience in mobile performance adtech is a huge plus.
• Aspiration to create disrupting products.

Company offers

• Deep and well thought-through onboarding program to make sure you have full understanding of the area you're working on.
• Flexible office hours – we measure the performance by impact, not time spent in the office.
• Competitive salary and co-sponsorship of your professional development (such as conferences, trainings, books).

Hiring process

• Phone call with HR.
• Interview with the Manager.
• Test task (there may be another call/interview on the test).
• Interview with the CEO.