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 be part of a friendly team with limitless potential and an openminded futuredriven 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 datadriven 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 databased automation features for our rapidly growing customer base.
What youll 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 team provide input and critical reviews to the projects executed by members of the team
- Having daytoday autonomy discover where and when your help is needed most help solving bigpicture problems
- Define and guide the organizations data strategy by identifying opportunities for datadriven decisionmaking
- Work closely with product managers engineering teams and business stakeholders to align data science initiatives with organizational goals and ensure successful implementation
What youll bring
Degree in a quantitative field (e.g. math physics computer science)Minimum 5 years of experience in a Data Scientist positionExtensive professional experience in data science or a related analytical fieldEffective utilisation of SQL to query large volumes of dataProficiency in using Python for data analysis as well as development of production ready solutionsDeep understanding as well as handson experience with commonly used advanced statistical and ML techniquesExcellent communication skills ability to efficiently explain technical concepts analytical results etc to nontechnical audiencesAbility to align data science initiatives with business goals prioritize impactful projects and foresee longterm implications of datadriven solutionsExperience with any of the following tools is a big plus : AWS services (redshift s3 athena sagemaker) dbt airflow Flask / FastAPI MLFlow dockerWhat we offer
A supportive open and fun team that will have your back from day 1.Twentyeight days of vacation (increases based on tenure to up to 30 days) 1day 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 membershipMonthly 40 EUR credit for NAVIT a sustainable mobility solution spanning public transport bikesharing.Taxfree 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 wed 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 :
We invite you to explore our follow our and connect with us on .
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.