Data Scientist

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Job Description

Responsibilities:

  • Predicting true incremental value of merchants, designing and solving an
    optimization problem that minimizes the supply / demand gap, optimizing
    prices to meet financial and other strategic objectives, developing ensemble
    models that collectively support complex decision making processes, etc.
  • Flood the room with elegant data science solutions to business problems and
    best practices in machine learning.
    o Work closely with product and engineering teams to form good hypotheses on
    how to improve the business. Design, execute and measure experiments to
    test these hypotheses. Productionalize solutions that show lift.
  • Interpret and communicate insights and findings from analyses and
    experiments to product, service, and business managers

We’re excited about you if you have:

  • Advanced degree in Computer Science, Statistics, or similar quantitative field,
    with an emphasis on predictive analytics, data mining, statistics, machine
    learning, algorithms, etc.
  • 4+ years of experience as ML/data scientist or similar role
  • Experience with widely used machine learning algorithms like linear and
    logistic regression, decision trees, SVM, KNN, k-means, random forest, deep
    NN, reinforcement learning, etc.
  • Deep understanding of the pros and cons of alternative algorithms in terms of the assumptions made and execution requirements.
  • Experience in SQL and NoSQL environments.
  • Experience with distributed Big Data technologies (Hadoop, Hive, HBase,
    Cassandra, Kafka, Storm, Elastic Search, etc.)
  • Experience with open source data pipeline technologies (Oozie, Airflow, Luigi,
    Azkaban, etc.)
  • Experience with data visualization, developing Analytics dashboard/deep dive
    solutions (Kibana, Tableau, etc.)
  • Experience with ML frameworks like TensorFlow, Caffe, Theano, Torch.
  • Experience in Python, R and Scala
  • Knowledge of ML-as-a-service, Lambda Architecture for ML, developing frameworks for detection of model decay is a big plus
Apply via LinkedIn
  • Salary:N/A
  • Location:Warszawa
  • Type:Full Time
  • Category:Technology & IT
  • Ref.no:JO-1908-435079