Data Scientist
- תל אביב
- משרה קבועה
- משרה מלאה
- Conduct in-depth analysis of Time-Series data to identify trends, patterns, and anomalies.
- Develop and implement End-to-End advanced Time-Series forecasting and NLP models to predict future trends and outcomes.
- Develop End-to-End models based on multiple data sources.
- Collaborate with cross-functional teams to integrate data science solutions into our product offerings. Collaborate with cross-functional teams, including product managers and engineers, to translate business requirements into data science solutions that drive data-driven decision-making and automate processes.
- Utilize statistical techniques and machine learning algorithms to extract valuable insights from complex data sets.
- Apply domain-specific knowledge in the financial sector to optimize predictive models and enhance data-driven decision-making.
- Communicate findings and recommendations to stakeholders in a clear and concise manner.
- Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
- 3+ years of proven experience working as a Data Scientist in a product-focused company.
- Strong expertise in Time-Series data analysis, modeling, and forecasting techniques (e.g.: non-stationary process, stochastic process, survival analysis, ARIMA, LSTM, prophet etc.)
- Proficiency in Python and data manipulation tools like pandas, NumPy, and scikit-learn.
- Familiarity with financial concepts and metrics, with the ability to apply them to data science projects.
- Excellent analytical skills, problem-solving abilities, and a passion for leveraging data to drive business outcomes.
- Strong communication skills to effectively collaborate with team and cross-team members and present findings to stakeholders.
- NLP modeling
- Familiarity with financial concepts and Financial Engineering techniques
- Familiarity PySpark, airflow, dbt.
Mploy