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 solutions 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. Provide solutions or alternatives to help train the data based on use-cases. Technical Requirements: Experience with structured, unstructured data and SQL. Proficient in Python, R, Bash, and Shell scripting. Experience with supervised and unsupervised learning techniques (e.g., regression, classification, clustering). Familiarity with model evaluation and validation techniques (e.g., cross-validation, ROC-AUC). Experience with time series analysis. Ability to write, construct, and iterate upon algorithms. Understanding of Azure infrastructure (e.g., Data Factory & ML Studio). Knowledge of CI/CD (continuous integration and deployment). Natural Language Processing and Reinforcement Learning are optional. The successful candidate will have: Intrinsic motivation 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 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. 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!
Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology #J-18808-Ljbffr