Lead Data Scientist

Summary

Join our team as a Lead Data Scientist to lead a technical team in discovering information hidden in vast amounts of data and making smarter decisions to deliver better products.

Requirements

• Hands on machine learning techniques and algorithms, such as k-NN, Naive Bayes, Ensemble methods XGBoost, Decision Forests and working towards deep learning methods using TensorFlow especially for NLP like word embeddings and topic discovery
• Hands with common data science toolkits, such as Python, scikit learn, numpy, pandas, plotly, TensorFlow, ElasticSearch, Auto-ML platforms like AWS Sagemaker
• Solid proficiency in using query languages such as SQL, Experience with NoSQL databases, such as Elasticsearch and Graph DBs as Neo4j
• Good understanding of applied statistics skills, such as distributions, statistical testing, regression and strong EDA skills
• Data-oriented personality with strong sense of appreciating the business domain of your work e.g
• Interest in working in tech domain e.g. data center analytics, understanding of macro factors in market for computing, software and cloud adoptions
• Experience of 5+ years

Responsibilities

• Run CRISP-DM projects with a team of 3 data scientists
• Selecting features, building and optimizing classifiers (logistic regression or RF based propensity models) and recommenders using machine learning techniques
• Data mining using state-of-the-art methods - Automate scoring using machine learning techniques, build recommendation systems, improve and extend the features used by recommendation and propensity modeling algos
• Extending company’s data with third party sources of information when needed
• Enhancing data collection procedures to include information that is relevant for building analytic systems
• Processing, cleansing, and verifying the integrity of data used for analysis and perform deep EDA (we create our own training data for our models)
• Doing ad-hoc analysis and presenting results in a clear manner
• Creating recommended and propensity models and tracking of its performance especially to compensate for concept drift

Benefits

• Flexible Working hours
• Entire Work From Home
• Birthday Leave
• Remote Work