Model Jobs in Himmelpforten

Intro Exmox is a Hamburg based performance marketing agency, connecting advertisers with their highest value users through our owned and operated apps. We created an innovative business model that focuses on rewarding users for testing and engaging with the apps of our clients. We’re on a mission to scale our platform and provide the best user experience for our users and are looking for ambitious individuals who are eager to contribute to our growth. Are you ready to make an impact? Become part of our growing team and help shape the future of performance marketing! Tasks → You actively shape your position, we want you to get involved and contribute ideas! Exploratory Data Analysis & Insights Conduct deep-dive exploratory data analysis (EDA) to identify trends, predict user behavior and optimize key performance metrics (e.g., retention, ROAS). Machine Learning & Predictive Analytics Design, develop, and deploy advanced machine learning models for predictive analytics, recommendation systems and anomaly detection. Optimize data-driven strategies through AI / ML applications. Data Engineering & Pipeline Development Build and maintain scalable data pipelines for data ingestion, transformation and high-quality model inputs. A / B Testing & Experimentation Design and execute rigorous A / B tests to validate hypotheses and assess the impact of new features. AI / ML Integration & Collaboration Work closely with engineering and product teams to integrate AI / ML solutions into enterprise applications. Ensure smooth deployment and scalability of machine learning models. Data-Driven Leadership & Best Practices Act as a thought leader, promoting data-driven decision-making and implementing best practices across the company. Requirements Must-Have Experience : 4+ years of hands-on experience applying data science methodologies in production environments. Technical Skills : Strong proficiency in Python (Pandas, NumPy, Scikit-learn, PyTorch) and SQL for data manipulation and model development. Experience with cloud-based platforms (Databricks) and big data technologies (Spark). Proven experience deploying machine learning models at scale. Communication & Collaboration : Ability to explain complex mathematical and ML concepts to both technical and non-technical stakeholders. Strong problem-solving skills and a team player mindset. Comfortable mentoring others and advocating for software engineering best practices in data science. Nice to Have Familiarity with advanced experimentation techniques (causal inference, A / B testing, media mix modeling). Experience with deep learning and time series forecasting for business applications. Hands-on experience with ML monitoring tools (e.g., MLflow). Background in AdTech or marketing analytics . Even if you don’t meet every requirement, we encourage you to apply! We value diverse skills and perspectives and you may bring something unique to the team. Benefits Work Life Balance We value rest and work life balance, we offer you 30 days of paid vacation days Commuter Benefits We provide you with public transportation tickets Professional Development We support you in deepening your skills and provide you an annual education budget of 1.500€ Workation Combine Vacation with work : we offer annual workation opportunities Gym membership - Wellpass With Wellpass you can use more than 7000 Spas / Gyms / etc. in Germany Catering We offer monthly team lunches, daily fruits and vegetables and every beverage you could wish for Flexibility Benefit from flexible working hours and working from home Diversity We are an international team of talented people with different cultural backgrounds Fun and Games We have a big socializing area to make room for having relaxing activities within the working day Desk Setup Wherever you work, we will provide you with your workspace utensils Please note : this is not a remote only position, we offer you a flexible hybrid model here in Hamburg, Germany - Working from home on Monday and Friday. Closing We're just at the beginning of what's possible. We'd love to welcome you aboard our team. This fits your ideas exactly or you're still unsure if it's the right fit? Feel free to contact us and together we will find out. : )