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 😜.
Benefits
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.
Remote Data Scientist (Ad-Tech) in a Rapidly Growing Startup
https://ift.tt/2JvNOan
Headquarters: Madrid, Spain
URL: https://noddus.com
To apply: hr-data-science@noddus.com
via Remote Jobr Programming Jobs https://ift.tt/1WipnMk
March 22, 2019 at 04:15AM