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About brighthush
brighthush is a trailblazing fintech organization dedicated to unlocking financial empowerment for millions across the globe. By harnessing the power of data, we design and deliver innovative credit and savings products that are both accessible and inclusive. Our mission is to bridge the gap between underserved communities and reliable financial services, using cutting‑edge technology to create lasting impact. At brighthush, we believe that data is not just a tool—it’s the catalyst that drives smarter, fairer, and more sustainable financial solutions.
Why Join brighthush?
When you become part of brighthush, you’re not just taking a job—you’re stepping into a movement that reshapes the future of finance. Our culture is built on curiosity, collaboration, and a relentless pursuit of excellence. We empower our teams to experiment, learn, and iterate, ensuring that every voice is heard and every idea has the chance to flourish. Whether you’re a seasoned data scientist or an emerging talent, you’ll find a supportive environment that nurtures growth, celebrates diversity, and rewards innovation.
Role Overview
As a Senior Customer Data Scientist at brighthush, you will lead the development of sophisticated predictive models that drive our customer acquisition, risk assessment, and product optimization strategies. You will work closely with cross‑functional stakeholders—including product managers, engineers, and business analysts—to translate complex data insights into actionable business decisions. Your work will directly influence the way millions of customers access credit and savings, making a tangible difference in their financial lives.
Key Responsibilities
- Model Development & Deployment: Design, build, and validate machine learning models using Python, sklearn, h2o, and PyTorch. Ensure models are production‑ready, scalable, and maintainable.
- Data Engineering & Analysis: Extract, transform, and load (ETL) large datasets from SQL databases. Perform exploratory data analysis to uncover patterns, trends, and anomalies that inform model features.
- Stakeholder Collaboration: Translate technical findings into clear, concise insights for non‑technical audiences. Present results to senior leadership and product teams, guiding strategic decisions.
- Model Governance & Documentation: Maintain rigorous documentation of model assumptions, performance metrics, and version control using Git. Ensure compliance with internal data governance and regulatory standards.
- Continuous Improvement: Monitor model performance in production, identify drift, and iterate on model improvements. Stay abreast of emerging techniques and industry best practices.
- Mentorship & Knowledge Sharing: Coach junior data scientists and analysts. Lead workshops and knowledge‑sharing sessions to elevate the overall analytical capability of the team.
Essential Qualifications
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- 3–5 years of professional data science experience, preferably in fintech or a similarly data‑driven industry.
- Proficiency in SQL for data extraction and manipulation.
- Strong programming skills in Python, with hands‑on experience using libraries such as pandas, numpy, sklearn, h2o, and PyTorch.
- Experience with version control systems, especially Git, to manage code and collaborate effectively.
- Excellent communication skills—both written and verbal—enabling clear articulation of complex concepts to diverse audiences.
- Demonstrated ability to translate business problems into data‑driven solutions.
Preferred Qualifications
- Master’s degree or higher in a quantitative discipline.
- Experience with cloud platforms (AWS, GCP, Azure) and data pipelines (Airflow, dbt).
- Knowledge of regulatory frameworks affecting fintech, such as GDPR, PSD2, or local data protection laws.
- Familiarity with A/B testing frameworks and experimentation platforms.
- Prior experience working in a remote, distributed team environment.
- Published research or contributions to open‑source data science projects.
Technical Skills & Competencies
- Data Manipulation & Analysis: SQL, Python (pandas, numpy)
- Machine Learning & Deep Learning: sklearn, h2o, PyTorch, TensorFlow (optional)
- Model Deployment & Monitoring: Docker, Kubernetes, MLflow, Airflow
- Version Control & Collaboration: Git, GitHub/GitLab
- Statistical Analysis: hypothesis testing, confidence intervals, Bayesian methods
- Business Acumen: understanding of credit risk, customer segmentation, and product lifecycle
- Soft Skills: problem‑solving, critical thinking, adaptability, and teamwork
Career Growth & Learning Opportunities
At brighthush, we invest heavily in the professional development of our people. You will have access to:
- Mentorship programs pairing you with senior leaders in data science and product strategy.
- Annual learning stipend for courses, certifications, and conferences.
- Internal hackathons and innovation challenges that encourage experimentation.
- Clear career pathways—from Senior Data Scientist to Lead Data Scientist, Head of Analytics, or Chief Data Officer.
- Opportunities to contribute to open‑source projects and industry panels.
Work Environment & Culture
brighthush thrives on a culture of transparency, inclusivity, and continuous improvement. As a remote‑first organization based in South Africa, we offer:
- Flexible working hours to accommodate different time zones and personal commitments.
- Fully equipped home office stipend to ensure you have the tools you need.
- Regular virtual team building events, knowledge‑sharing sessions, and wellness programs.
- A collaborative environment where cross‑functional teams co‑create solutions and celebrate successes together.
- Commitment to diversity, equity, and inclusion—ensuring every team member feels valued and empowered.
Compensation & Benefits
While specific figures vary based on experience and location, brighthush offers a competitive total rewards package that includes:
- Base salary aligned with market standards for senior data science roles in South Africa.
- Performance‑based bonuses tied to individual and company milestones.
- Equity options to share in the company’s growth and success.
- Health and wellness benefits, including medical, dental, and mental health coverage.
- Retirement savings plan with company matching.
- Generous paid time off, parental leave, and flexible vacation policies.
- Continuous learning budget and access to premium data science tools and platforms.
How to Apply
Ready to make a real impact on financial inclusion? Submit your application through our careers portal and join a team that values data, innovation, and people. We look forward to exploring how your expertise can help brighthush shape the future of finance.
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