Junior data Scientist

Responsabilities

Strong communication skills with a proven ability to understand key business and technical concepts, and then effectively communicate these concepts with technical staff, business stakeholders and senior management
Strong organizational skills, the ability to perform under pressure and to manage multiple priorities with competing demands
Strong analytical, data processing, storytelling and problem-solving skills
Experience working in an academic AI research lab
Academic publications on Deep Learning, Machine Learning or Operations Research

Études et expériences souhaitées:

A master's degree in Computer Science, Statistics, Mathematics or related fields (A Ph.D. degree is a plus)
Experience as a Data Scientist in industry or a research lab
Experience with Machine Learning, Deep Learning and Reinforcement Learning
3+ years of experience with Python programming language
3+ years of experience with Scikit-Learn, Pandas, Matplotlib, Numpy, Scipy, and XGBoost
Experience with Keras, Tensorflow or Pytorch for Deep Learning
Knowledge of Apache Spark (Databricks knowledge is a plus)
Knowledge of NoSQL databases (MongoDB or Cassandra)
Knowledge of Graph databases (JanusGraph, Apache TinkerPop or Gremlin)
Experience with Agile processes and Software Engineering best practice

Habiletés:

Statistical analysis and visualization techniques to various data, such as hierarchical clustering, T-distributed Stochastic Neighbor Embedding (t-SNE), Principal Components Analysis (PCA)
Hypotheses generation about the underlying mechanics of the business process
Hypotheses testing using various quantitative methods
Networking with business domain experts and product managers to better understand the business mechanics that generated the data
Application of various Machine Learning, Deep Learning, Reinforcement Learning, and Advanced Analytics techniques to perform Classification, Clustering or Regression tasks

Junior data scientist