The Data Appeal Company is a highly tech-company that transforms geo-spatial, sentiment and market data into compelling, valuable insights that are simple and accessible. We are a dynamic and rapidly expanding company part of Almawave Group.
We are looking for a Machine Learning Engineer to join our Data Science Laboratory and contribute to the extraction of insights from data. The ideal candidate has a strong interest in numbers, data analysis and machine learning.
What you’ll do
Work with the DS Lab team to provide complete solutions to business problems using data mining techniques, statistics, and data analysis
Design, develop and evaluate innovative models for predictive learning, working closely with the team
Work with large datasets using cutting-edge technologies
Automate procedures and algorithms
Technical (STEM) degree (pref. Engineering, Physics, Mathematics, and Statistics)
PhD in a STEM area is a plus
Experience of 2-3 years in a similar role
Experience in location intelligence and/or smart cities analysis is a plus
Some knowledge of the AWS ecosystem, necessary to interact with the Engineering Team
Excellent analytical and problem solving skills
Ability to use relational databases and knowledge of the SQL language
Strong knowledge of Python
Familiarity with Machine Learning frameworks (Scikit-learn, NLTK, spaCy) and numerical computing libraries (NumPy, Pandas, Dask, SciPy)
Curiosity and passion for data science
Teamwork and collaboration skills
Fluent in English
Docker & Kubernetes
Spark & Big Data
Hands-on experience in production systems
Experience with deep learning algorithms and knowledge of dedicated frameworks (Tensorflow, Keras, Pytorch)
The Data Appeal Company is an AI-based big data and solution provider which enables the actionability of data from a broad range of sources, providing the most powerful combination of Location, Sentiment and Market Intelligence for any Point of Interest, brand or territory worldwide.
Our KPIs fuel business strategies for brand analysis and evaluation, site selection and distributor qualification, market expansion and enriched credit scoring.