Data Scientist (m/f/d)

  • Smaato Inc.
  • Hamburg, Germany
  • 12/03/2019
Full time Data Science Data Engineering Machine Learning Data Analytics Artificial Intelligence Data Management Statistics Software Engineering

Job Description

Smaato is the leading global real-time mobile advertising platform, connecting 10,000+ advertisers — including 91 of the Top 100 Ad Age brands — with over 90,000 app developers and mobile web publishers. Smaato manages up to 19 billion mobile ad impressions daily and reaches over one billion unique mobile users monthly.

Founded in 2005 by mobile pioneers Ragnar Kruse and Petra Vorsteher, Smaato has global headquarters in San Francisco, California, with additional offices in Berlin, Hamburg, New York City, Shanghai, and Singapore.

Job Description

The Data Scientist at Smaato is an experienced builder of intelligent systems as well as cloud based machine learning solutions. How? Our cutting edge platform is processing an average of 6 billion inbound advertising queries per day. Each incoming request generates multiple outbound requests to our partners.

With your inquisitiveness, and primary data research, you get to process these vast amount of data, and create comprehensive stories around your results.
Besides developing cloud-based solutions to user-story based requirements you will mentor junior developers and build software to pass automated acceptance tests.

Key responsibilities:

  • Support the business and product stakeholders by developing machine learning algorithms
  • You will design, develop and deliver scalable, high-performance and real-time data processing and analysis software
  • Evaluate and select the right technologies to build scalable solutions for our clients in the Ad-Tech industry
  • Solve complex problems by identifying and optimizing relevant KPIs from a multitude of data
  • You’ll work on the system architecture and interact with the UI Engineers to innovate vizualisations of vast data labyrinths
  • In our agile environment you will cooperate with the product management team and business stakeholders
  • Conduct ad-hoc analysis using Databricks Notebooks
  • We trust you to share responsibility for all team deliverables

Qualifications

  • Solid work experience in statistics, AI, and developing productive machine learning-based solutions
  • Master Degree or equivalent experience in a quantitative field (Computer Science, Statistics, Engineering, Artificial Intelligence, etc.)
  • Deep understanding of data technologies and tools
  • You are familiar with Spark and cloud-based AWS services
  • Over the past years you gained experience in programming with JVM languages and Python, relational and NoSQL databases like MySQL, Postgres, and Vertica
  • Familiarity with the online- or mobile advertising business counts as strong plus
  • You hold a valid work permit for the German market

Additional Information

Perks of being a Smaatie

Smaato’s modern Hamburg office offers an incredible 360° view over Hamburg’s city center and harbor, and is decorated with lounges, relax, and gaming rooms, including Foosball tables, PS4 consoles and guitar hero. In this office, we conduct in-house hackathons, in which everyone can participate!

Our unique and diverse company culture is shaped by people with commitment, sense of responsibility, risk-taking and discipline. Our employees’ loyalty, efforts, and commitment, we reward with numerous incentive and training programs, career development opportunities, regular team events, fresh fruit & snacks, quarterly massages, and fun activities.

Despite our growth over the past decade, we maintained flat hierarchies and short decision paths - much like in our start-up time. We have introduced flexible working hours, a home office regulation, and other work-life-balance options.

The salaries are market competitive and in addition we offer benefits such as a company pension plan and the HVV ProfiCard (public transit ticket for Hamburg) or equivalent.

A Buddy-Program offers new employees from abroad assistance for their start in a new country.