Data Scientist

At Stomble we're an exciting startup looking for a highly experienced Data Scientist to join our team. We are a small startup bootstrapping our way forward with a group of eager engineers and designers already with a high level of ambition to build and deliver our MVP solution to the world.

Stomble is building a data analytics infrastructure that is powered by AI to help companies centralize their data to make it more accessible across their organization whilst eliminating decision fatigue. Our mission and vision are to use innovative solution to increase economic opportunity for businesses globally.

We're looking for a skilled Data Scientist who has experience in leading a new project from scratch, can help understand the companies needs and has the capability to motivate team members to deliver outstanding results.

Key Responsibilities:

• Collect, clean, and analyze small and large datasets from various sources.
• Build predictive models and machine learning algorithms to solve business problems.
• Communicate findings and insights clearly to stakeholders through data visualizations and storytelling.
• Work with data engineers to define data pipelines and data architecture requirements.
• Collaborate with product teams to identify and prioritize analytics opportunities.
• Monitor model performance and conduct regular reviews to ensure accuracy over time.
• Solutions or alternatives to help train the data based on use-cases.

Technical Requirements:

• Has worked with structured, unstructured and SQL.
• Understanding and has experience using Python, R, Bash and Shell scripting.
• Has experience doing supervised and unsupervised learning e.g., regression, classification and clustering.
• Model evaluation and validation techniques e.g., cross-validation, ROC-AUC.
• Time series analysis.
• Writing, constructing and iterating upon algorithms
• Understanding of Azure infrastructure e.g., Data factory & ML Studio.
• Understanding of CI/CD continuous integration and deployment.
• Natural Language Processing is optional.
• Reinforcement learning is optional

The successful candidate will have:

• Intrinsic motivations to learn and continuously fill in any gaps where required.
• Openness and willingness to think outside the box to solve and find solutions.
• Willingness to work in different disciplines where needed or required.
• Able to connect the big picture, create an action plan and work their way backwards to a workable goal.

Limitations of the position:

• Position is fully remote.
• This role is unpaid due to the company not generating any revenue or raising any funding as yet.
• We are unable to sponsor applicants at this time.
• Must be located in Australia.

If this sounds like an opportunity, you'd like to be a part of, we'd like to hear from you!