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Data Scientist - Building, best practices for developing and managing solutions in Dataiku.

Level 1
Data Scientist - Building, best practices for developing and managing solutions in Dataiku.

Title: Data Scientist

Location: 100% Remote


  • It is a Dataiku consultant role who will be responsible in building, best practices for developing and managing solutions in Dataiku.


  • Processing, cleansing, and verifying the integrity of data used for analysis, Define approaches for data mining.
  • Extending company’s data with third party sources of information when needed
  • Doing ad-hoc analysis and R&D involving operating heterogeneous data sets
  • Creating automated anomaly detection systems and constant tracking of its performance
  • Train designers and explorers in Dataiku by building organizations’ specific training curriculum, organizing and conducting the trainings.
  • Build solutions such as project templates, starter projects, documentation and conduct office hours to provide guidance on architecture and design of solutions in
  • Dataiku for the users.
    Solution design and architectural guidance
    Build tooling, solutions and starter projects with baked in best practices
    Evangelize Dataiku with training and enablement services

Skills and Qualifications

  • PhD in Data Science, Computer Science, Statistics or other related fields
  • Real world experience of solving business problems using machine learning, data mining, data analysis
  • Data-oriented personality
  • Excellent understanding of machine learning techniques and algorithms
  • Experience with common data science toolkits (such as R, Weka, NumPy, MatLab, etc.)
  • Experience with data visualization tools
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.

Must-have skills:

  • In-depth understanding of Dataiku
  • Should have designed, developed Big data analytical solutions in Dataiku
  • Strong expertise in Spark, Pyspark and Python
  • Excellent written and verbal communication skills
  • Problem solving mindset

Nice to haves:

  • Machine learning, MLOps skills - Optional


Sheetal Sarpe
Contact: 718-635-9639


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