Lead Data Scientist

Mid / Senior



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About This Workplace

Meytier Partner

Ascendum is looking for a hands-on Lead Data Scientist who can manage projects and design the implementation. With a high-level experience with data architecture/analytics/modeling/data science and the ability to implement it as well. Someone who is a self-learner and encourages the discovery of new technologies or challenges.

Key Responsibilities:
  • Lead data projects: collect requirements, prepare the high-level design to share with the stakeholders, detailed design for the team and hands-on implementation, and communicate findings to all stakeholders
  • Interpret and analyze data problems
  • Enhance data collection procedures to include information that is relevant for building analytic systems
  • Build big data systems for analytics and operational use
  • Ensure data quality and integrity
  • Visualize data and create reports/dashboards
  • Implement Machine learning models including NLP/NLU (feature selection and engineering, building and optimizing classifiers/predictions using machine learning techniques)
  • Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy
  • Analyze data for trends and patterns, and Interpret data with a clear objective in mind
  • Doing ad-hoc analysis and presenting results in a clear manner
Experience and Qualification:
  • 5+years of experience with Big Data technologies: Data Lake, Azure DW /Hive/ Vertica/ MongoDB/ ElasticSearch/ Impala/Spark /HDFS/ Redshift
  • 3+years of experience working with Python for ETL/ELT, data science, machine learning, nlu\nlp based projects
  • 2+years of experience with Machine Learning: NLU, NLP, clustering, linear regression, NN (RNN, ANN, CNN), tuning training set, tuning the existing model
  • 2+years of experience with Data Architecture/Data Modeling – SQL and NoSQL, Big Data
  • 2+years of experience with SQL, TSQL, PLSQL
  • 1+year of experience with reporting tools: Tableau, Power BI …etc.

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