- Successfully identify the real problem from the customer’s point of view to build and execute data analytics work plans that deliver business impact.
- Apply specialized skills and fundamental data science methods (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed) to inform improvements to our business
- Perform exploratory and targeted data analysis using commercial and open-source data analytic software packages.
- Communicate technical analyses and results to division customers.
- Build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products
- Collaborates with the team and works on data and business problems in order to improve the effectiveness of business decisions and business results. Understands the business’ problems to identify the optimal modeling approach.
- Influence leadership to drive more data-informed decisions
- Define and advance best practices within data science and product teams
- You have 3-5 years of practical experience:
- with Python and software engineering fundamentals
- with applied statistics and quantitative modeling (Machine Learning, regression, survival analysis, segmentation, experimentation...)
- University degree in Data Science or Computer Science with adequate data science experience with excellent academic records (Master degree or MBA are of advantage)
- Curiosity about the problem domain and an analytical approach
- Expertise with statistical techniques and their applications in business
- Ability to provide written and oral interpretation of highly specialized terms and data, and ability to present this data to others with different levels of expertise
- Programming experience and ability to develop prototypes and deploy them to production
- Practical working knowledge of agile development methodology and knowledge of full-stack development
- Demonstrated Analytic Agility and ability to quickly learn and switch topics
- Masterful data storytelling and strategic thinking
- Strong sense of ownership and growth mindset
- Expertise in collaborating with other designers, developers, and advisors.
- First-class verbal and written communication skills with the ability to eloquently articulate strategy, concepts, and rationale in a comprehensive and understandable manner verbally, written, and visually.
- Domain experience in e-commerce appreciated
- Extensive on-the-job training
- A team with a lot of creative freedom
- Versatile tasks with a high degree of personal responsibility and flexibility
- Possibility of remote working
- An excellent working atmosphere with flat hierarchies
- Development and training opportunities
- Attractive, performance-related pay
- A representative workplace in Munich
- Language courses
We are a Munich-based Company, offering a hybrid working model.
2 to 3 days you will work from the office while the other days you are free to choose.
Currently, we are not offering relocation support.
If you apply from outside Munich, please be aware that a relocation would be necessary.
We are looking forward to welcoming you in Munich!
We look forward to receiving your application - preferably by email to apply@foobar.agency.
P.S.: View us on Kununu, LinkedIn, Xing, or GitHub to learn what we're like!
foobar Agency, based in beautiful Munich, is a young and experienced digital consultancy.
Our name is a tribute to the developer culture that lies at our core, but we are holistic problem solvers and enablers.
We believe that you have to constantly challenge yourself to fulfill your mission. Of course, this doesn't always have to be radical, but can sometimes mean slowly moving in one direction and learning. We want to help companies and organizations do just that and make it a reality. Even if they are just starting on their mission.
How do we do that? By sitting down with our customers and shaping the future together.
We see ourselves as the spearhead to initiate such a journey but also to accompany it. We strive to do this with state-of-the-art approaches, working methods, and tools. We take it for granted that we are experts in our fields and become such when we enter new fields. Self-driven continuing education is very important to us.
On this journey, different new things are created, or existing thing