Data Science Sênior
- Türkiye
- Kontrat
- Tam zamanlı
- Lead the design, development, and deployment of machine learning models to solve high-impact financial problems.
- Collaborate with product managers, engineers, and business stakeholders to define data science use cases and translate them into actionable solutions.
- Analyse large-scale structured and unstructured datasets to extract insights and build predictive models.
- Develop and maintain robust model training workflows.
- Ensure model interpretability, fairness, and compliance with regulatory standards.
- Mentor junior data scientists and contribute to the growth of the data science team.
- Communicate findings and recommendations clearly to both technical and non-technical audiences.
- Strong problem-solving skills and a passion for using data to drive decisions.
- Excellent communication and collaboration abilities.
- Ability to manage multiple projects and priorities in a fast-paced environment.
- A mindset for continuous learning and innovation.
- Ethical awareness of bias, fairness, and transparency in AI models.
- A Bachelor's/Master's/Ph.D. degree in computer science, Statistics, Mathematics, Data Science, or a related field.
- Experience in data science or machine learning, with a strong track record of delivering impactful solutions.
- Proficiency in Python and ML frameworks such as scikit-learn, XGBoost, PyTorch, TensorFlow, or similar.
- Strong understanding of statistical modeling, time series forecasting, supervised and unsupervised learning, and optimization techniques.
- Good understanding of generative AI concepts and principles.
- Intermediate to fluent English proficiency - ability to communicate technical concepts clearly in English is essential.
- Experience working with financial datasets (e.g., credit scoring, fraud detection, risk modeling, pricing, or forecasting).
- Proficiency in SQL and experience with relational and non-relational databases (e.g., PostgreSQL, CosmosDB, MongoDB).
- Experience deploying models into production using Databricks and cloud platforms (AWS, GCP, or Azure).
- Familiarity with MLOps practices, CI/CD pipelines, and model monitoring tools.
- Experience with data visualization tools (e.g., Plotly, Tableau) to communicate insights effectively.
Vacancies in Turkey