PLEASE NOTE THIS IS AN EQUITY-ONLY ROLE AND THE INTERVIEWS WILL COMMENCE IN FEBRUARY 2025.
Stealth-Mode Start-Up Client is seeking an innovative Data Scientist to drive data-driven decision-making, predictive analytics , and algorithm development for a cutting-edge web and mobile platform .
This role will report to the VP of Data & Analytics, and focus on analyzing large datasets , building predictive models , and uncovering actionable insights to enhance platform performance, optimize user experiences, and support strategic growth initiatives.
The ideal candidate will have a passion for solving complex problems through data , a deep understanding of statistical modelling and machine learning techniques , and the ability to translate findings into clear, actionable strategies .
To apply, please provide a CV, your compensation requirements (including salary expectations for when funding is secured) and a cover letter/note that explains why you are interested and how you meet the requirements.
Please note that submissions received without all the requested information will be automatically disqualified and rejected.
Key Responsibilities: Develop statistical and predictive models to identify trends, forecast user behaviour, and drive strategic decision-making.
Build and deploy machine learning algorithms for tasks such as user segmentation, recommendation systems, fraud detection, and trend forecasting.
Analyze and process large, complex datasets to extract valuable insights and identify areas for optimization.
Design and analyze A/B experiments to evaluate the impact of platform features and user experience enhancements.
Work closely with Product Managers, Engineers, and Analysts to align data science initiatives with product and business goals.
Develop dashboards and performance tracking systems to monitor key metrics and ensure continuous improvement.
Create clear and compelling data visualizations to communicate findings to technical and non-technical stakeholders.
Continuously refine and optimize existing algorithms to improve accuracy, efficiency, and scalability.
Stay updated with emerging AI and data science trends and propose new methodologies to improve data insights and model performance.
Maintain detailed technical documentation for models, algorithms, and analytical workflows.
Requirements: A degree in Data Science, Computer Science, Statistics, Mathematics , or a related field.
Minimum 3+ years of experience as a Data Scientist or in a similar analytical role.
Excellent command of the English Language in all forms.
Previous start-up experience would be an advantage.
Proficiency in programming languages such as Python, R , or Scala for data analysis and model building.
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Proficiency in SQL for querying large datasets.
Familiarity with tools like Spark, Hadoop , or cloud data warehouses (e.g., BigQuery, Redshift).
Strong understanding of statistical modelling, hypothesis testing , and A/B testing methodologies .
Experience with tools such as Tableau, Looker , or Power BI .
Strong analytical mindset with a focus on actionable insights and business impact .
Ability to translate complex data findings into clear, understandable insights for diverse audiences.
Ideal Candidate Profile: A curious problem-solver who thrives on turning complex data into clear, actionable insights .
Passionate about leveraging data science to drive product innovation and improve user experiences.
Detail-oriented, with a strong focus on accuracy, reproducibility , and scalability of data models.
Adaptable to changing priorities in a dynamic startup environment.
Proactive in proposing new methodologies and approaches to improve analytics and forecasting capabilities.
Continuously learning and staying ahead of emerging trends in AI and data science .
Compensation & Benefits Equity-only at present, to transition to a salaried, full-time permanent position when funding is secured.
Remote and flexible working arrangements, the opportunity to be part of something potentially epic with potential opportunities for global travel, and access to industry conferences and workshops in due course.