(Senior) Data Scientist (all genders) - Remote or Hamburg

Slow websites suck! Of 3.5 hours you spend online each day, 20 minutes are wasted waiting for websites to load. In your life, you will waste one whole year.

Join our mission of building a web without loading times to make all Internet users happier. Our product Speed Kit is the all-in-one page speed tool and accelerates 7,000+ websites worldwide, including marketleading companies like BMW, Decathlon, and Carhartt.

Our world-class remote team uses the latest web technology trends to make our customer websites up to 4x faster and to improve the user experience for 160 million users per month.

Sounds exciting? Come on board and help us so that no one has to suffer from lost time!

Within our Data Team we are developing the infrastructure to manage the data of our customers and their >100 million users with the corresponding requests per minute (>>100k).

We plan to develop additional (sub)products, such as highly available customer facing dashboards. To realize all our ideas, we are now looking for a team member in the position of a (Senior) Data Scientist (all genders).

Tasks

• Collaborate with Data Engineers, Analysts, Interaction Designers and Product Managers to translate data insights into product opportunities (support the design, implementation and evaluation of new algorithms, machine learning models and other data-driven features and services.)
• Implement and optimize features, models & algorithms as part of batch processes
• Support the integration & deployment of the algorithms in high-performance services (which deliver the corresponding functionality to product applications and other services)
• Prepare training & test data to systematically evaluate & optimize solutions
• Measure quality of algorithms, models & services over time & conduct A/B tests, other in-depth analyses & assessments to understand quality & identify strengths/weaknesses
• Translate & implement analytical business needs into concepts for scalable data products
• Help guiding, consulting & evangelizing teammates regarding Data Science, Analytics, Product questions & topics.
• Perform ad hoc analysis on real user monitoring data, Fastly CDN log data as well as our customers Google Analytics data to gain insights about product integration issues, identify bot traffic or other factors that negatively impact Speed Kit s performance and business results.
• External Data Communication: Blog Post, LinkedIn Infographics, etc.

Data Science Backlog

• Identify bot traffics on pages of our customers in near real time to protect our infrastructure (Our customers sometimes get a lot of bot traffic, thus we get a lot of bot traffic hitting our infrastructure)
• Predictive pre-loading: We are already doing a great job improving loading times of our customers websites. Additionally we would like to train models which help our product Speed Kit to pre-load resources which are most likely to be used next.
• Detect regressions in page speed & identify reasons
• Build a tool to communicate optimization action points in core web vitals to our customers

Requirements

• We don't care whether you have a degree or are a career changer

• At least 2 years of practical experience in a similar position

• Well-founded experiences in analyzing and transforming data (e.g. via SQL, Google Sheets, Python)

• Strong theoretical & practical knowledge & experience in order to design and develop scalable algorithms, machine learning models & other data-driven functionality; including:

       / Information retrieval (e.g. search, recommender systems, personalization)   

  / Machine learning (e.g. ML models, understanding which model works for what type of problems)
  / Natural language processing (e.g. named entity recognition)

• You are a solution oriented, analytical thinker with great communication skills

• Independent working style with a high level of responsibility & a structured approach

Benefits

• Remote-first: You can work 100% remote if you want to
• Beautiful office: Work in the heart of Hamburg s Schanzenviertel
• Pet-friendly office: You re always welcome to bring a furry friend
• Awesome coworkers: Join a competent, humorous crew
• Flexible work: Work on a full-time or part-time schedule
• Flat hierarchies: The best ideas win, no matter by whom
• Regular team events: Join our virtual team events (never mandatory)
• Personal training budget: We help you to grow your career and skills
• Monthly gym budget: We deeply care about the health of our team

Next Steps

• You share your CV or LinkedIn profile with Nicole (via "apply now").
• We schedule a meeting to get to know each other
• We schedule a second virtual meeting to let you solve a task
• If both sides are happy, we will prepare the contract
• You join our rocketship

We are happy to get to know you.