nikhilalmeida
Joined 16 years ago
Joined 16 years ago
Kharon navigates risk at the intersection of global security threats + international commerce. We turn complex data into actionable insights, enabling top financial institutions to make informed decisions.
Why Kharon?
- Impact: Work on major global crisis events.
- Tech Stack: AWS, Python, PySpark, Kubernetes, Docker, PostgreSQL, Graph DBs, Elasticsearch. Access to a unique dataset with home grown propriety technologies to analyze it.
- Team: <15 data engineers/scientists, low egos, strong collaboration.
- Compensation: Competitive liquid compensation with annual performance bonuses.
You bring: - 1-3 years of Data Science experience.
- Strong stats & ML methods (linear/nonlinear models, hypothesis testing, Bayesian approaches).
- Python data stack proficiency (data cleaning, analysis, visualization). SQL knowledge.
- Bonus: NLP, Graph Theory/ML, Graph DBs, big data tech (Spark, Databricks), Docker, Kubernetes.
Your role: - Analyze structured/unstructured datasets.
- Develop scalable systems and ML solutions by collaborating across Data, Engineering, Product, and Research teams.
Location: Preferred EU timezone (Madrid), US, open to others.Join us in making a global impact! We are growing quickly and looking to hire across the engineering stack including
Fullstack Engineers (Python/VueJS) Backend Data Engineers Product Managers
Send me an email at almeidan [at] kharon [dot] com
The only disadvantage is that the site did not have enough mid to senior positions and very little focus on positions for engineering manager and above.
* What is the market size of developers companies that pay to have such wrapper APIs?
* What would pricing for something like this look like?
* What is the hit / miss ratio of API ideas?
I was thinking of putting together datasets and listing on similar marketplaces. Anyone have any information to share on this?