Senior Data Scientist (Customer) Department: Data Science
Employment Type: Full Time
Location: Sydney
Compensation: $140,000 - $160,000 / year
Description Due to internal promotion, we are looking for another talented Data Scientists to work with our customers data in our Model Scale team.
The work this team does is vital to our business, as you will analyse our customers Marketing, Media and Sales Data and leverage the insights gained to configure our generalised model to surface critical business insights for customers in our core product, GrowthOs.
This means this team isn't doing deep model R&D but managing refreshes, configuring, diagnosing and calibrating models and becoming industry subject matter experts to contextualise model performance to our customers industry nuances.
Mutinex is an early stage SaaS MarTech startup that is already working with some of Australia and the world's largest brands.
We have a hybrid way of working doing a few days a week in the office, which is a short walk from Central station in Sydney.
The role You will work alongside our Account Managers, Data Engineers, Data Scientists and Marketing Scientists to take our latest modelling innovations and apply it to help our customers make effective marketing investment decisions.
You will collaborate closely with our R&D and Product teams to surface model workflows and feature engineering pipeline improvements.
Your day to day will consist of:
Perform exploratory data analysis of a variety of customer and external datasets to understand the customer's business, surface high-signal data and find opportunities for automating data quality assessments
Apply, diagnose and configure our state-of-the-art model to solve our customers problems;
Develop expertise in new domains, understanding industry nuances and contextualising model performance.
Be a collaborative team member, working with stakeholder teams to improve process and suggest model workflow and feature pipeline improvements
What we are looking for The key requirements for this role:
Prior experience in similar Data Science, Customer Data Science or Data Analyst roles, preferably in startups or tech companies
Proficiency in Python experience with libraries such as Pandas and NumPy
Manipulating data
Exploratory data analysis
Debugging code
Proficiency with SQL to be able extract and explore large and complex data sets
Experience with git
Proven ability to manage multiple projects at once while maintaining a high level of attention to detail as well as communicating deadlines at risk of not being met
A strong and proactive communicator, this role is cross functional and plays a key part in ensuring customers are getting value out of our product
The bonus skills and experience we get excited to see:
Demonstrable experience with Time series data and models is also preferred while experience with Bayesian statistics/models and Media Mixed Modelling (MMM)
Experience engineering new features and building and optimising model workflows (using open-source modelling libraries such as Scikit-Learn, XGBoost or Statsmodels, etc.) to solve business problems
Understanding of machine learning principles
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