Artificial Intelligence Specialist
6 days ago
Nikel is a fast-growing fintech company that aims to revolutionize the way people access financial services. We are looking for a talented Data Scientist/Senior Data Scientist to join our team and help drive our innovation and data-driven strategy forward.
The successful candidate will have expertise in data management, predictive analytics, machine learning, and intelligent automation. They will work closely with cross-functional teams to develop innovative data solutions that enable informed decision-making and business growth.
Key Responsibilities:
- Develop and implement advanced machine learning models for fraud predictive modeling, credit scoring, behavioral analytics, and optimization.
- Create analytics dashboards for actionable insights and reporting, improving decision-making processes.
- Present and explain findings to both technical and non-technical stakeholders, ensuring clarity and impact.
- Manage end-to-end data science projects, including planning, execution, and post-implementation monitoring.
- Continuously improve data science practices, tools, and frameworks, ensuring scalability and efficiency.
- Collaborate closely with product and engineering teams to integrate data models into our core products.
- Mentor junior data scientists and offer technical guidance to ensure the team's growth and success.
Qualifications:
- Degree in a quantitative discipline: Mathematics, Statistics, Data Science, Computer Science, Engineering, or a related field.
- 3+ years of experience in data analytics, data science, or related roles.
- Solid understanding of statistical models, including their assumptions and limitations.
- Experience in fraud detection and prevention.
- Experience developing credit models is a plus.
- Strong proficiency in Python, R, or SQL; experience in multiple languages is a plus.
- Hands-on experience in the model development lifecycle as well as model operationalization (training, validation, tuning, monitoring).
- Familiarity with data visualization tools such as Tableau, PowerBI, or Superset is an advantage.
- Experience with cloud platforms (AWS, Azure, Google Cloud) for data processing.
- Experience with model deployment platforms (MLFlow, SageMaker, VertexAI) is a plus.
- Understanding of data management principles and infrastructure.
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