Remote Data Scientist

Noddus - permanent


24 Mar

Open to all applicants globally!

We are looking for an experienced Data Scientist (Ad-Tech) to join us and be the foundation of our Data Science team as we continue to grow and scale our application.

  • Responsible for processing, cleansing, and verifying the integrity of the data used for analysis.
  • Develop forecasting and reporting procedures that instantly highlight business opportunities and flag potential issues.
  • Conceptualize and build dashboards that are simple, visually appealing, yet showcase all the key data trends and metrics to ease reporting to all business stakeholders.
  • Design and develop machine learning models and algorithms that drive performance and provide insights (e.g., Real Time Bidding algorithms for pacing & optimization, clustering algorithms, lookalike modeling, fraud detection, device identification, cross-device association, ad inventory estimation, audience segmentations, and other Ad-Tech applications.).
  • Rapidly develop a deep understanding of the quantitative methodologies and implementation details that will best power our optimisation engine. Methods used could include Linear Regression models, k-means clustering, Linear Programs, Mixed Integer Programs, and other machine learning and data mining strategies.
  • Develop tools and processes to monitor performance of existing models and implement enhancements to improve scalability, reliability, and performance.
  • Partner closely with Engineering on the architecture and implementation of modeling efforts to ensure performance and scalability.
  • Partner closely with Product on the incorporation of new modeling features into our product set, including UI & API layers.
  • Communicate effectively with Product, Engineering and Sales to identify and define strategic data-intensive projects based on business needs.
  • Create supporting documentation for algorithms and models.
  • Stay abreast of new developments in machine learning and data science, and investigate & develop new approaches to continue innovating.


We are looking for someone confident with the following background and skills:

  • Degree in a quantitative discipline (e.g., Computer Science, Math, Physics, Statistics, Engineering, or similar).
  • Python/Java.
  • Strong quantitative skills with a solid grasp of key concepts in probability, statistics, algorithm design, and machine learning.
  • Experience with Machine-Learning/Big-Data Platforms and modeling frameworks, especially Spark, Hadoop and EMR.
  • Experience with statistical modeling and visualization with Python or R.
  • Experience with SQL and Excel.
  • Strong DNN background with proven experience in TensorFlow building real world solutions on large scale data sets.
  • Knowledge of machine learning, NLP, classifiers, statistical modeling and multivariate optimization techniques.
  • General understanding of data structures, algorithms, multi threading, and distributed computing concepts.
  • Good communication and writing skills (Docs and Collaboration).

We know that’s already enough but if you go the “extra mile” it will surely make you stand out

  • Docker and Kubernetes.
  • Have a good understanding of online advertising technologies and ecosystem.
  • Experience with Real Time Bidding.
  • Experience working with BI solutions (e.g., Tableau).
  • Communicating with GIFs 😜.

Salary and Perks

  • Sharp, motivated co-workers.
  • Very flexible work schedule.
  • A flat structure that’s always open to hearing opinions and receiving feedback; we understand that we can constantly improve so we greatly value individuals with an entrepreneurial spirit that are willing to put great ideas forward.
  • You will be part of a product that is seeing an exceptional growth. We are onto something.

About Noddus

Noddus ( offers brands & agencies access to an advanced proprietary content marketing platform automating content production, distribution and analytics. Brands & agencies can use one tool for automated and scalable content campaigns. The company currently operates in Europe and Latin America.


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