• Mid level Data Scientist Role
  • Paying 110K Package
  • 2+ (commercial) Years experience mandatory as a Data Scientist
  • Permanent role

What you will be doing! The mid-level Data Scientist will be working with established programmatic and quantitative methods to find patterns and relationships in large data sets; conducting mathematical, statistical or other data-driven problem solving analysis to identify business operations or intelligence questions by internal and external customers. You will be given guidance by CTO and Managing Director.

Knowledge, Skills, Abilities:
Working knowledge appropriate analytic methods and methodological tools in one or more of the following areas:

  • Applied mathematics (e.g. probability and statistics, formal modelling, computational social sciences)
  • Computer programming (e.g. programming languages, math/statistics packages, computer science, machine learning, scientific computing)
  • Visualization (e.g. GIS/geospatial analysis, telemetry analysis)
  • Working knowledge of research designs
  • Intellectual curiosity; creativity and innovation to go beyond current tools to deliver the best solutions to complex problems.
  • Strong analytical and critical thinking skills
  • Ability to leverage multiple data management tools to organize relevant information and make decisions
  • Ability to develop comprehensive software applications, as needed
  • Ability to translate complex, technical findings into an easily understood narrative
  • Ability to work collaboratively and effectively in a team environment

Technologies to know:

  • Statistical Tools may include: SAS, R, SPSS, Matlab, Mahout/MADlib, Stata
  • Programming languages: SQL, C/C++, JAVA, Python, Perl
  • Data Management Tools my include: Hadoop tools, MapReduce, Pig, Hive, NoSql, Tableau, Hbase

Qualifications:

  • 2-6 years of experience
  • Bachelor’s degree in quantitative or technical field of study (e.g., statistics, mathematics, computer science, physical science, quantitative social sciences).

Prior machine learning and AI experience for at least 2+ years is mandatory for this role. Please note that you might be required to code at times as well so coding experience is required too

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