Data Scientist

Bidmachine
Spain
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Airflow Amazon Web Services Big Data Databases Extract Transform Load (ETL) Python (Programming Language) Machine Learning Online Analytical Processing Cloud Services SQL Databases Pytorch Pandas
+5 more
Pyspark Information Technology Druid Service Stack Databricks

Job description

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. Technology Stack - Proficiency in Python and SQL. - Experience with manipulation frameworks such as PySpark and Pandas. - Familiarity with Dagster (or similar) as ETL tool and Druid (or similar) as OLAP database. - Skilled at using cloud services such as AWS etc. - Hands-on experience in DNN models training libraries and frameworks (pytorch, hydra, comet etc.) - Knowledge of Databricks will be a plus.

Requirements

Qualifications - Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or related field. - 5+ years of experience in data science, preferably in a product-focused environment. - 3+ years of experience in AdTech. - 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. With a powerful product, strong market positioning, and a team that strives for excellence, BidMachine offers a unique opportunity to grow, innovate, and make a tangible impact in the programmatic advertising space. Build the future of mobile AdTech with us J-18808-Ljbffr

About the company

About BidMachine Exchange BidMachine Exchange is a fast-growing global programmatic exchange built for the future of in-app advertising. We operate with a strong US foundation and an international presence, with teams across Warsaw, Barcelona, Parkland (FL), and remote experts around the world. We combine deep AdTech expertise, proprietary technology, and a data-driven mindset to deliver transparency, performance, and efficiency in the mobile advertising ecosystem. At BidMachine, we are building more than an exchange - we are shaping the infrastructure that powers fair, efficient, and scalable in-app programmatic advertising. Our mission is to create a high-performance marketplace where publishers maximize value and advertisers access premium inventory with full transparency and control. We are proud of our technology, our ambitious vision, and our globally distributed team of talented professionals who continuously raise the bar in AdTech. Our Values - Ownership & Accountability: We move fast, take responsibility, and think like builders. Every team member has a direct impact on product growth and market success. - Data-Informed Excellence: We leverage data to make smarter decisions, optimize performance, and build scalable solutions that deliver measurable results. - Innovation & Technical Depth: We solve complex programmatic challenges with cutting-edge technology and a deep understanding of the ecosystem. - Global Collaboration: We work across cultures, time zones, and disciplines - united by shared goals and high standards. - Ambition & Impact: We are here to build something significant - a best-in-class exchange that competes with the strongest players in the market. 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

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