Appodeal is a dynamic US-based product company with a truly global presence.
We have offices in Warsaw, Barcelona and Virginia along with remote team members located around the world.
Our company thrives on diversity, collaboration, and innovation, making us a leader in the mobile app monetization space.
We are looking for an experienced Data Scientist /Machine Learning Engineer to add to our Data Science team in Barcelona.
Responsibilities:
- Analyze data to identify trends, patterns, and actionable insights, independently solving complex data-related problems.
- Design and develop end-to-end data science solutions, from initial analysis and model development to deployment, optimizing for performance and scalability. This includes creating models tailored to optimizing ad targeting, bid strategies, and campaign performance analysis.
- Collaborate with both technical and business teams to understand requirements and translate them into data-driven solutions and insights, particularly focusing on enhancing advertising effectiveness and ROI.
- Maintain and optimize existing data processing pipelines and machine learning models, with a strong emphasis on applications within the ad-tech ecosystem, ensuring high efficiency and alignment with dynamic market trends.
This position supposes relocation to Barcelona and work from our office in the city center.
With an outstanding product and a mission that excites and inspires, Appodeal offers a unique opportunity to make an impact while being part of an amazing team.
Join us and help shape the future of mobile app success!
Why Join Us:
- Opportunity to work on cutting-edge projects with a global impact in the mobile app industry.
- A collaborative and inclusive work culture that values innovation and continuous learning.
- Competitive salary, flexible work arrangements, and a comprehensive benefits package.
- Professional development opportunities and career growth prospects within a fast-growing company.
Technology Stack:
- Proficiency in Python and SQL.
- Experience with manipulation frameworks such as PySpark and Pandas.
- Skilled at using cloud services such as AWS etc.
- Hands-on experience in DNN models training, libraries and frameworks (PyTorch, Hydra, Comet etc.)
Qualifications:
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
- 3+ years of experience in data science, preferably in a product-focused environment.
- 2+ years of experience in AdTech (or related field).
- Strong analytical skills with the ability to derive insights from complex datasets.
- Proficiency in statistical modeling and machine learning techniques.
- Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
