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