Data Scientist cum Engineer (1Year Contract)

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Thales

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Job Summary


Job Type
Contract

Seniority
Mid

Years of Experience
At least 5 years

Tech Stacks
Realm RNN CNN MVP XGBoost Spark Flink kafka Python Java

Job Description

  • You have a minimum of 5 years software experiences, where you would have understood the process of negotiating and unraveling the nitty gritty details of your customer or user’s datasets
  • You should have a good repertoire of software tools and programming languages to which you can apply to building an MVP or enterprise ready product
  • You have experience setting up Spark and using it for batch processing, and possibly streaming experience with Flink or Kafka.
  • Good to have experience with natural language processing
  • You should have good working knowledge about Machine Learning and or Deep Learning algorithms in the realm of supervised, unsupervised, reinforcement not limited to ANN, CNN, RNN, GAN
  • You should have good working knowledge in statistical classification domain eg. Logistic Regression, K-nn, Kernel SVM, Naïve Bayes, Decision Tree, Random Forest, Clustering domain e.g. K-means clustering, hierarchical clustering
  • You should have a good understanding of applying gradient boosting in regression and classification problems. E.g. XGBoost and in anomaly detection and outlier detection techniques e.g. DBSCAN, Gaussian Mixture Models
  • You would have working knowledge of Java & Python and you should be able to explain the underlying mechanics in addition to the theoretical Machine/Deep Learning model
  • You would have good working knowledge of the Machine Learning and Deep Learning toolkits available in OSS, commercial software
  • Worked in a squad or guild team setup and understand the agile processes, ceremonies and appreciates them
  • You are an open, strong communicator who communicates effectively across teams, locations and cultures, in-person and virtually
  • You are autonomous and know how to adapt quickly and drive change for the better
  • You bloom in a team and like working in a collaborative environment
  • You agree that data over opinion is a healthy and an important mentality


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