PLEASE NOTE THIS IS AN EQUITY-ONLY ROLE AND THE INTERVIEWS WILL COMMENCE IN FEBRUARY 2025.
Stealth-Mode Start-Up Client is seeking aninnovative Data Scientistto drivedata-driven decision-making, predictive analytics, andalgorithm developmentfor a cutting-edgeweb and mobile platform. This role will report to the VP of Data & Analytics, and focus on analyzinglarge datasets, buildingpredictive models, and uncoveringactionable insightsto enhance platform performance, optimize user experiences, and support strategic growth initiatives.
The ideal candidate will have a passion forsolving complex problems through data, a deep understanding ofstatistical modelling and machine learning techniques, and the ability to translate findings intoclear, 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:
- Developstatistical and predictive modelsto identify trends, forecast user behaviour, and drive strategic decision-making.
- Build and deploymachine learning algorithmsfor tasks such as user segmentation, recommendation systems, fraud detection, and trend forecasting.
- Analyze and processlarge, complex datasetsto extract valuable insights and identify areas for optimization.
- Design and analyzeA/B experimentsto evaluate the impact of platform features and user experience enhancements.
- Work closely withProduct Managers, Engineers, and Analyststo align data science initiatives with product and business goals.
- Develop dashboards and performance tracking systems to monitor key metrics and ensure continuous improvement.
- Createclear and compelling data visualizationsto communicate findings to technical and non-technical stakeholders.
- Continuously refine and optimizeexisting algorithmsto improve accuracy, efficiency, and scalability.
- Stay updated withemerging AI and data science trendsand propose new methodologies to improve data insights and model performance.
- Maintain detailedtechnical documentationfor models, algorithms, and analytical workflows.
Requirements:
- A degree inData Science, Computer Science, Statistics, Mathematics, or a related field.
- Minimum3+ yearsof experience as aData Scientistor 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 asPython, R, orScalafor data analysis and model building.
- Experience withmachine learning frameworks(e.g., TensorFlow, PyTorch, Scikit-learn).
- Proficiency inSQLfor querying large datasets.
- Familiarity with tools likeSpark, Hadoop, or cloud data warehouses (e.g., BigQuery, Redshift).
- Strong understanding ofstatistical modelling, hypothesis testing, andA/B testing methodologies.
- Experience with tools such asTableau, Looker, orPower BI.
- Strong analytical mindset with a focus onactionable insightsandbusiness impact.
- Ability to translatecomplex data findingsintoclear, understandable insightsfor diverse audiences.
Ideal Candidate Profile:
- Acurious problem-solverwho thrives on turning complex data intoclear, actionable insights.
- Passionate about leveragingdata science to drive product innovationand improve user experiences.
- Detail-oriented, with a strong focus onaccuracy, reproducibility, andscalabilityof data models.
- Adaptable tochanging prioritiesin a dynamic startup environment.
- Proactive in proposingnew methodologies and approachesto improve analytics and forecasting capabilities.
- Continuously learning and staying ahead ofemerging 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.
