Data Scientist
W2O Group
1d ago

Title : Data Scientist

Recently named Best Place to Work by MM&M, The Holmes Report, PR News, PRWeek, and AdAge, W2O is an integrated marketing and communications firm powered by analytics and specialising in healthcare.

We’re looking for a Data Scientist to join our Data Science team. Applicants should be smart, curious, and motivated by finding data-driven, evidence-based solutions to hard problems.

You will work side-by-side with our team of data scientists, account staff, and analysts to deliver innovative, impactful answers to some of the biggest brands in the world.

  • Our Data Science team splits its time between creating the best products in the marketplace; building and maintaining our data and tools platforms;
  • and working directly with analysts to make sure every project is putting the best data, the smartest algorithms, and the most efficient processes to work for our clients.

    Data Science team members collaborate on a variety of projects and have a diversity of technical talent including statistics, machine learning, information systems, and engineering.

    We work on a wide range of infrastructure, ranging from python notebooks to cloud computing.


  • Partner with analytics team to deliver data-driven answers to clients’ complex business questions
  • Collaborate and communicate effectively with stakeholders from teams in data sciences, analytics, account managers, and creative
  • Compose the right research plan for the project
  • Assist in executing the plan by pulling data, applying algorithms, etc.
  • Craft the narrative to explain the results to internal and client stakeholders
  • Develop new models, algorithms, and data sets to answer clients’ business questions better
  • Discover new patterns in available data
  • Develop prototypes of new products and solutions
  • Assemble new data sets
  • Support the software team in growing and maintaining data and tools platform
  • Mentor analysts and other staff to use platform most effectively
  • Drive integration of new data, algorithms, and prototypes into the tools
  • Requirements, Skills & Experience

  • A Bachelors, Masters or Doctoral degree in Computer Science, Computational Linguistics, Engineering, Statistics, Machine Learning, or Natural Sciences
  • A naturally curious disposition
  • A knack for explaining complex concepts in simple terms
  • A proven ability to design research methodologies to answer questions with data
  • Experience using Python to perform research methodologies on data
  • Experience interpreting structured and unstructured experimental results data
  • Project experience in machine learning, computational linguistics, data modelling, data collection, or knowledge engineering
  • Nice to have

  • Experience building statistical or machine learning models
  • Experience with data engineering, data architecture, or data transformation pipelines and ETL
  • Experience using cloud infrastructure to perform analysis, especially AWS
  • Experience using cloud infrastructure to deliver software to users, especially AWS
  • Exposure to software development practices, especially Agile
  • Exposure to devops practices, especially CI / CD
  • Experience in marketing, comms, or healthcare
  • Interdisciplinary experience in studies, projects, or research
  • Apply
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