Staff Data Scientist
The Role
As a Staff Data Scientist at Zenjob you will transform all of our business requirements into innovative data solutions, which effectively support our business.
If you would like to join a friendly team, with limitless potential and an open-minded future-driven mindset, you are welcome to join.
To be successful in this position the most important thing is to live our values #humble, #honest, #helpful, and #hungry. So we are looking for a data-driven team player.
Zenjob is on the mission to become the digital staffing platform delivering companies best staffing experience with the highest flexibility and reliability, and workers the best choice and fair pay for side jobs. Our service is available in over 39 cities in Germany. Our growth financing round of $50 million (€45 million) from February 2022 is helping us to scale our platform and add new data-based automation features for our rapidly growing customer base.
What you’ll be doing
Drive cross functional data science projects to understand, predict and influence the behaviour of our users both on B2C and B2B sides
Optimise our product by leveraging advanced analytics and Machine Learning solutions
Train, deploy and integrate production ready models to our backend/frontend services
Design and evaluate A/B tests to validate hypothesis and measure the impact of our solutions
Build data tools for product managers, empowering them to deliver actionable insights and recommendations for respective teams
Collaborate closely with colleagues from Data Science and Analytics teams, provide input and critical reviews to the projects executed by members of the team
Having day-to-day autonomy, discover where and when your help is needed most, help solving big-picture problems
Define and guide the organization’s data strategy by identifying opportunities for data-driven decision-making
Work closely with product managers, engineering teams, and business stakeholders to align data science initiatives with organizational goals and ensure successful implementation
What you’ll bring
Degree in a quantitative field (e.g. math, physics, computer science)
Minimum 5 years of experience in a Data Scientist position
Extensive professional experience in data science or a related analytical field
Effective utilisation of SQL to query large volumes of data
Proficiency in using Python for data analysis as well as development of production ready solutions
Deep understanding as well as hands-on experience with commonly used advanced statistical and ML techniques
Excellent communication skills, ability to efficiently explain technical concepts, analytical results, etc to non-technical audiences
Ability to align data science initiatives with business goals, prioritize impactful projects, and foresee long-term implications of data-driven solutions
Experience with any of the following tools is a big plus: AWS services (redshift, s3, athena, sagemaker), dbt, airflow, Flask/FastAPI, MLFlow, docker
What we offer
A supportive, open, and fun team that will have your back from day 1.
Twenty-eight days of vacation (increases based on tenure to up to 30 days), 1-day special leave paid for charity work, five days of paid educational leave, and the option of unpaid leave.
Hybrid work setup combining office & remote work (3 days from office, 2 days home), flexible working hours, bring your dog policy.
Ongoing focus on your personal development (annual development budget of EUR 750, mentoring opportunities, continuous career conversations)
Monthly 30 EUR subsidy on Urban Sports Club, 25% discount on FitX gym membership
Monthly 40 EUR credit for NAVIT- a sustainable mobility solution spanning public transport bike-sharing.
Tax-free meal allowance (saving EUR ~50 net per month!)
Quarterly team get togethers, budget for employees birthdays, winter & summer parties plus regular cultural talks & events.
If this sounds good, then we'd love to find out more about you! Apply and send in your application.
If you want to learn more about how our Tech team works, check out our official Zenjob Technology Blog:https://medium.com/zenjob-tech-blog
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We are proud to be an equal opportunities employer. We are committed to assessing every qualified person according to their skills, regardless of age, gender identity, ethnicity, sexual orientation, disability status or religion. It is not necessary to include your photo and age with your application.