The partner company is looking to hire a Senior Data Scientist to drive advanced analytics and AI-driven solutions, detect anomalies, optimize processes, and enhance decision-making through machine learning models.
Requirements
- 3+ years of hands-on experience using Python in data science or machine learning projects.
- Strong applied experience with machine learning on large datasets.
- Expertise in SQL for processing and analyzing structured and unstructured data.
- Proficiency in statistics, regression modeling, decision trees, random forests, SVM, clustering, and other machine learning techniques.
- Experience with Linux distributions and collaborative software development environments.
Responsibilities
- design, develop, and deploy machine learning models that detect anomalies, optimize processes, and enhance decision-making.
- work with large, complex datasets, building pipelines from data ingestion to model deployment, while providing actionable insights for business stakeholders.
- research, experimentation, and innovation to advance AI capabilities in financial and operational analytics.
- mentor junior team members and contribute to technical strategy, ensuring scalable, reliable, and explainable AI solutions.
- Lead development projects, engaging with stakeholders to collect requirements and define machine learning solutions.
- Design, implement, and maintain machine learning pipelines including feature engineering, modeling, deployment, and overfitting diagnostics.
- Research and develop analytical and optimization methods to enhance platform capabilities.
Other
- Ability to translate business questions into data-driven solutions.
- Strong communication and data presentation skills, with a track record of mentoring or providing technical leadership.
- Flexible work arrangements and supportive remote options.
- Inclusive and collaborative work culture valuing diversity and innovation.
