Data Science / Data Engineer Offline

Required Skills:

 

- 6+ years of professional experience building scalable data infrastructure.

- A quantitative approach to best leverage data to drive growth for the business.

- Experience moving and manipulating large data sets at high frequency if not realtime.

- Experience integrating 3d party APIs in a scalable, robust and maintainable manner.

- Strong knowledge of Python, practical experience with C# a plus.

- Experience with large scale columnar data store eg. RedShift, Snowflake, Vertica, BigQuery.

- Experience levering Cloud infrastructure and DevOps principles to build and maintain pipelines at scale.

- Working experience in AdTech is a huge positive.

- English - Intermediate+ level.

 

Responsibilities:

 

- You will be an impactful contributor to our core systems and architecture design at the ground level, with the autonomy and agency that provides.

- Design and build out a fully interoperable data model that powers the core of the business. The model needs to be extensible and hold data quality, timeliness and integrity at its core.

- Collaborate with our marketing teams to rapidly prototype proof of concept AI/ML solutions to apply to our paid acquisition campaigns.

- Process user engagement data, product feeds, and APIs in real-time/near real-time to power our models and business team.

- Foster and grow an environment for people to take pride in their technical achievements and ownership of the systems we create.

 

Project description:

THE LEADING AI-POWERED CUSTOMER ACQUISITION PLATFORM. It is a rapidly-growing digital customer acquisition and monetization platform, fueling advertiser growth at scale across consumer verticals. We are a passionate group of growth marketers, data engineers, and product developers who excel in machine learning, data modeling, and customer acquisition. We are changing the advertising status quo by enabling smarter data-driven decisions through AI. We are looking for a dynamic, experienced person excited to jump into our hustling and bustling startup culture. The ideal person is a team player who can build simple and elegant solutions to big problems involving expansive datasets and distributed systems, focusing on optimized performance and scale. This person will also be empowered to manipulate and leverage datasets to extract valuable insights coming from millions of users, a plethora of external APIs and data feeds. They should be comfortable working within a highly collaborative team environment, where you will work with data science, product, and marketing teams daily.

 

What we offer:

 

- Healthy workplace environment

- Strong and friendly development team

- Competitive reward

- Compensation for education

- Flexible schedule

- 15 paid vacation days, 7 paid days-off

The job ad is no longer active
Job unpublished on 10 October 2022

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