Lead Data Scientist

1 week ago

مصر, Egypt Envision Employment Solutions Full time

**Job Summary**:
As Lead Data Scientist you are responsible for spearheading the predictive modeling and machine learning division of the data science department to facilitate growth, revolutionize processes and streamline our customer experience.

**Responsibilities**:

- Analyze complex financial datasets: Lead the analysis of intricate financial datasets to identify patterns, trends, and correlations using statistical techniques and machine learning algorithms.
- Develop predictive models and algorithms: Drive the development of advanced predictive models and algorithms to forecast financial outcomes, detect anomalies, and support risk management and decision-making processes.
- Conduct exploratory data analysis: Lead the team in conducting exploratory data analysis to uncover valuable insights, generate hypotheses for further investigation, and guide strategic initiatives.
- Train, validate, and optimize models: Lead the team in training, validating, and optimizing machine learning models using appropriate techniques, such as cross-validation, hyperparameter tuning, and feature selection.
- Collaborate with cross-functional teams: Work closely with software engineers, developers, and stakeholders to implement and deploy machine learning models into production environments, ensuring seamless integration and scalability.
- Communicate insights and recommendations: Prepare and deliver comprehensive presentations, reports, and dashboards to convey insights, findings, and recommendations to technical and non-technical audiences, influencing strategic decision-making.
- Data preparation and feature engineering: Lead the implementation of data cleaning, transformation, and feature engineering techniques to ensure high-quality data for analysis and modelling.

**Requirements**:

- Proven work experience as an end-to-end Data Scientist across diverse business domains (previous FinTech experience is a major plus).
- Ability to lead, motivate and organize team efforts through strong mentorship skills, technical prowess, and “2-steps ahead” business thinking.
- Solid understanding of mathematical and statistical modeling along with machine learning and AI algorithms (knowledge of Graph models and databases is a plus).
- Strong experience with data pre-processing methods and techniques.
- Robust experience with the machine learning cycle, from development and training to deployment and re-training.
- Knowledge of data mining and segmentation techniques.
- Expertise with cloud-based infrastructure (e.g. AWS or GCP).
- Expert capabilities with both SQL and Python, with an aptitude for data visualization
- Strong knowledge of MLOps

**Benefits**:

- Competitive salary
- Pension Plan scheme as per company policy
- Premium Family medical insurance
- Unlimited annual leave policy
- Mentorship and career growth
- Entrepreneurial working environment
- Other benefits according to the company policy

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