Data Scientist

2 semanas atrás

Lauro de Freitas, Brasil Bloom Talent Partners Tempo inteiro

**About our customer**

In most of the cases, we work with contractor dynamic, USD payment, and remote positions. And in all of the cases, your contract will be directly with the client.

We will consider your experience and contact you to move forward and talk about the best match for you, considering your background, expectations and the caracteristics of our clients.

Can't wait to get to know you

**Responsibilities**:

- Building and Designing a model framework for 10,000+ distinct time series using SQL and Python
- Preparing population stability reports for each model
- Developing KPI reports to share and interpret with leadership
- Ensuring models are highly accurate across time series
- Leveraging active-learning frameworks that refit models in near real time
- Identifying trends, risk factors, and outcomes across varying degrees of aggregation and resolutions
- Evaluating and monitoring key risk indicators within the business against prescribed limits
- Collaborating and influencing senior leadership to ensure Data Science directly impacts business strategy
- Developing and leading statistical and machine learning efforts in relation to your projects using statistics, data analytics, machine learning, experimentation, time series analysis, etc.
- Working closely with the Engineering and Product teams to deliver on major cross-functional projects
- Developing original analyses to advise and influence product, engineering, and operations roadmaps
- Standing up necessary infrastructure to deploy models in production
- Leveraging scalable ML architecture, feature engineering and management, to develop and ship code to production
- Once models are delivered to production, monitoring their quality, leveraging active learning and incremental modeling improvements.

**Job Requirements**
- Graduated from an undergraduate or graduate program in Finance, Commerce, Economics, Engineering, Statistics and/or other related discipline
- 4+ years of experience in a Statistician, Researcher, Machine Learning Engineer, Data Engineer, or similar role post degree
- Expert ability working with Python and SQL build time series forecasting models (SKLearn, XGBoost)
- Technical strength with demonstrable experience developing and shipping code for production systems
- Experience in financial underwriting and credit analysis and / or working for a lending or specialty finance company which provides funds to consumers or businesses (USA preferred)
- Enjoy working in an ambiguous and fast-paced environment, thinking outside the box, and taking accountability for the delivery of a project within a committed amount of time, proactively communicating any changes to plan
- Collaborative mindset and experience influencing business partners to achieve strategic goals
- Demonstrated ability to communicate technical constraints and address feedback from product managers, engineering leaders, data science leaders, and non-technical leadership

**About the final Client**:
The final client is the world’s largest e-commerce investor. Our equity-free capital products are here to help entrepreneurs scale their businesses while maintaining 100% ownership and control. They are growing, and they’ve already been able to fund 5500+ businesses in 7 countries. By using a bias free approach in our products, they’ve been able to fund 8x more female founders than traditional Venture Capital firms and they are removing barriers for underserved entrepreneurs.

Their vision is simple: remove the obstacles between brilliant ideas and brilliant businesses.

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