We are seeking a dedicated Data Scientist to join our growing company. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers. 

Responsibilities

• Analyse unlabelled raw data: assessing quality, cleansing, structuring for downstream processing.
• Collaborate with engineering team to bring analytical prototypes to production
• Working with for huge datasets of records from ad-tech sources.
• Understand the data, cleaning, enriching identifies patterns, classify, anomaly and fraud detection, with heavy usage of statistics, unsupervised ML, feature engineering and creativity.
• Another part of the role is to look and focus on a specific fraction of the data providing advanced knowledge. Here we may design and use Supervised ML algorithms (we may use tagging as well as data generation for model training) 

Qualifications

• Master’s degree or equivalent experience in quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.).
• 5+ years experience and deep understanding of machine learning/deep learning, neural networks, statistical classification, and related techniques with their underlying theory and math
• Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, and algorithms
• Proficient in Python including ML packages and infrastructures such as scikit-learn and Pandas.
• Wide experience on the use of models in unsupervised learning.
• Experience in CELLULAR WIFI & GPS geographical data – Advantage.
• Proven experience dealing IP behaviours across time – Advantage.
• Proven experience on clustering geographical data – Advantage.