Senior Data Scientist 🚀 (f/m/d)

As a Senior Data Scientist at adjoe, your primary responsibilities include building and maintaining machine learning models for classification and recommendation, developing deep learning algorithms, and deriving actionable insights from large datasets. You’ll also advocate for data-driven approaches within the company, collaborating closely with colleagues to enhance our advertising solutions and improve user experiences.

Candidates for the Senior Data Scientist position at adjoe should possess at least 5 years of experience in data science. Proficiency in programming languages such as Python, R, or Scala is essential. Moreover, experience with big data tools, deep learning model deployment, and a solid understanding of mathematical principles are crucial for success in this role.

In the Senior Data Scientist role at adjoe, you’ll work with a plethora of tools including AWS Athena, Kafka, Spark, and MySQL. Familiarity with deep learning frameworks and infrastructure tools like Airflow will also be beneficial as you build, deploy, and manage data models to optimize advertising strategies.

adjoe is committed to investing in your future as a Senior Data Scientist. We offer regular feedback sessions and a development program tailored to help you expand your skills and achieve your career goals. Additionally, flexible working hours and a hybrid work setup promote a healthy work-life balance, ensuring you thrive personally and professionally.

The culture at adjoe is innovative, collaborative, and fun! As a Senior Data Scientist, you’ll find an environment that values teamwork and celebrates achievements, whether through social events, hackathons, or simply enjoying the scenic Alster lake view from the office. We prioritize community engagement and well-being, making sure everyone feels supported and included in our journey.

When answering this question, describe the project clearly. Discuss your role, the challenges faced, the techniques used, and the quantifiable impact on the business or user experience. Highlight any specific results, like increased user engagement or enhanced revenue metrics, to showcase your contributions effectively.

Be prepared to discuss any deep learning frameworks such as TensorFlow or PyTorch. Share specific projects where you implemented these frameworks, detailing your approach and the outcomes. This demonstrates not only your technical expertise but also your ability to apply them in real-world scenarios.

This is your opportunity to show your problem-solving skills. Describe methods like data imputation, cleaning techniques, or even choosing to remove certain data points. Emphasize the importance of maintaining data integrity while ensuring that analyses remain statistically sound.

Discuss various factors, such as data quality and the need for continuous model training. Highlight your experience with algorithm adjustments or feature engineering to fine-tune predictions. Sharing specific examples will show your critical thinking and understanding of the complexities in user behavior modeling.

When providing an example, focus on your ability to communicate complex data-related topics to non-technical team members. Emphasize how collaboration led to better decision-making and project outcomes, showcasing your teamwork skills that are crucial in a role such as the Senior Data Scientist at adjoe.

Illustrate your project management skills by describing your approach to prioritization based on factors like impact, effort, and deadlines. You might mention using tools like Kanban boards or Agile methodologies to keep workflow organized and ensure timely project delivery.

Talk about typical approaches to model validation, such as cross-validation or using holdout datasets. Discuss the importance of evaluating model performance through metrics relevant to business goals, ensuring the models meet quality standards before deployment.

Provide a detailed response about a specific dataset challenge, outlining your discovery of the issue, the steps taken to clean or process the data, and the strategies implemented to ensure it remained useful for analysis. This will display your analytical and troubleshooting skills.

Share your methods for keeping your knowledge current, such as attending conferences, enrolling in courses, or following influential data science blogs and publications. This highlights your passion for the field and dedication to ongoing learning, which is essential in a tech-driven environment like adjoe.

Discuss your hands-on experience with the model deployment process, including any platforms or tools you’ve used. Emphasize the importance of monitoring and maintaining models post-deployment, ensuring they continue to perform optimally as they interact with real-world data.