Data Scientist

Data Scientists

Responsible for coding and testing customized analytical models of medium to high degree of complexity. Must be able to implement best practices when writing and testing code. Familiarity with the life-cycle of a data science project and extensive experience with python is a must. Requires strong interpersonal and communication skills, and ability to construct GUI interfaces.

• Gathers, interprets, and manipulates structured and unstructured data to enable analytical solutions for the business.
• Selects the appropriate modeling technique and/or technology with consideration to data limitations, application, and business needs.
• Experience on building

  session-level models

  , and analyze the high-volume

  clickstream data

  from digital platform.
• Proven experience in developing

  sequence modeling

  using

  RNN, Transformers, LSTM

  ,

  XG Boost,

  Decision trees, Bayesian networks, Random forest, Logistic regression, Support vector machine, Gradient boosting algorithms, Clustering algorithms and Dimensionality Reduction Algorithms.
• Experience in Deep Learning model development using Tensorflow, Keras, PyTorch
• Hands on experience in building

  ML workflows

• Fluent with

  Natural Language Processing

  and

  Text Analytics

  libraries (NLTK, SpaCy)
• Experience in Model implementation, Governance and monitoring.
• Responsibilities include: Performing the code development of complex analytic algorithms and paradigms, perform a clear breakdown of the analytic functionality and separate it into working modules.
• Working experience in

  Python

  , R and

  SQL

• Experience in Python data science packages such as numPy, SciPy and SciKit-learn

Nice to Have:

• Experience with Data Science Platforms (Dataiku, H2o, Azure)
• Experience with one of Subversion/SVN, Git, GitHub, GitLab, Mercurial, or other version control system
• Experience with cloud platforms AWS, Azure, GCP a plus
• Knowledge in Big Data, Hadoop, HIVE/HQL, HDFS, Spark/PySpark, Kafka
• Familiar working in an AGILE environment

Education:

• Bachelors degree or Master’s Degree in a highly quantitative field (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, Engineering etc.) or equivalent experience
• Minimum 8-10 years of experience in data science and advance analytics.