Data Scientist

Data Scientist

What you will do:

• Provide data-driven insights and deliver production-grade solutions to maximize the value of our data.
• Research the latest machine learning technologies and keep up-to-date with industry trends and developments.
• Verify that the collected data is accurate, consistent, and free from errors. This step includes cleaning missing values, handling duplicates, and transforming data into a usable format.
• Design and implement next-generation machine learning models with advanced technologies.
• Create quick prototypes and proof-of-concepts for new features and products.
• Regularly test your audience targeting strategies and adjust them based on performance metrics. Experiment with different messaging, ad formats, and targeting options to determine what resonates best with each segment.
• Closely work with ML Engineers and ML Ops Teams to deploy and streamline machine learning products and end to end pipelines on the advertising platform to drive business growth. Our models will use the data to make predictions and recommendations, such as selecting the most appropriate ad format, choosing the optimal target audience, and setting the right bid amount for each impression.
• We are monitoring the performance of our campaigns regularly and use the feedback to refine our models. As new data sources become available, you will adjust the models to adapt to changing market conditions and consumer behavior.
• Communicate with various stakeholders to understand business requirements, manage expectations and create effective roadmaps.
• Depending of your skills and experience you will have a chance to technically lead people.

What you need:

• Degree in science or engineering fields.
• At least 2 years of proven industry experience.
• Problem-solving skills and creative thinking to address open challenges in various fields.
• Teamwork spirit.
• Theoretical background and experience in data analytics, data mining, machine learning and statistics.
• Experience with ML libraries (e.g.: Scikit-Learn, TensorFlow, PyTorch, Spark ML, etc.) mainstream big data tools (e.g.: Spark, Snowflake, etc.).
• Programming skills in Python or OOP.
• Knowledge of SQL and databases.
• Experience in source code versioning tools (e.g.: git, etc.).

What is nice to have:

• PhD in science or engineering fields.
• Over 4 years of proven industry experience.
• Strong programming skills in Python or OOP.
• Deep theoretical background in machine learning and/or data mining,
• Hands-on experience with production-grade machine learning solutions and/or software development,
• Experience with the advertising industry, recommendation systems or real-time bidding (RTB) ecosystem,
• Proficiency in mainstream mainstream big data tools and ML libraries,
• Proficiency in mainstream big data tools (e.g., Spark, Snowflake, etc.) and ML libraries (e.g., TensorFlow, PyTorch, Spark ML, etc.),
• Experience with CI/CD (e.g.: Github Actions, etc.), monitoring (e.g: Grafana, etc.), cloud solutions (e.g.: AWS, Sagemaker, etc.), A/B testing.

What we offer:

• Work in international project team with the biggest worldwide automotive customers,
• Training on the job and technical trainings,
• Further development opportunity,
• Flexible working time, 
• Private healthcare (LuxMed),
• Mybenefit cafeteria,
• Employee discounts on HARMAN products (JBL),
• Additional days off,
• and much more…