# Engineering Manager (Data Science)

**Company:** [mylo](http://jobs.workable.com/companies/6vg2f28uFHtacq3uHeMYYg.md)
**Location:** Cairo, Egypt
**Workplace:** hybrid
**Employment type:** Full-time

[Apply for this job](http://jobs.workable.com/view/0105546e-9b07-4979-a9b3-c5a1cf7f167c)

## Description

### Role Overview

We are seeking an experienced **Engineering Manager – Data Science** to lead a high-performing Data Science squad responsible for delivering scalable machine learning solutions, predictive models, and AI-driven products that drive business impact.

The ideal candidate combines deep technical expertise in Data Science and Machine Learning with strong people leadership capabilities. This role requires a strategic thinker who can manage a multidisciplinary squad, define technical roadmaps, mentor engineers and data scientists, and collaborate closely with Product, Engineering, Analytics, and Business stakeholders.

### Key Responsibilities

### Leadership & Team Management

-   Lead, coach, and develop a squad of Data Scientists, Machine Learning Engineers.
-   Drive team performance through goal setting, mentoring, career development, and continuous feedback.
-   Build and foster a culture of innovation, ownership, collaboration, and technical excellence.
-   Support recruitment, onboarding, and talent development initiatives.
-   Manage squad capacity, planning, and execution to ensure successful delivery of strategic projects.

### Technical Leadership

-   Define and execute the Data Science roadmap aligned with business objectives.
-   Lead the design, development, deployment, and monitoring of machine learning models and AI solutions.
-   Establish engineering best practices for model development, experimentation, MLOps, and production deployment.
-   Guide architectural decisions related to data platforms, machine learning infrastructure, and AI systems.
-   Ensure scalability, reliability, and maintainability of Data Science solutions.

### Stakeholder Management

-   Partner with Product Managers, Engineering Leaders, and Business stakeholders to identify opportunities for data-driven decision making.
-   Translate complex business problems into analytical and machine learning solutions.
-   Communicate technical findings and recommendations to both technical and non-technical audiences.
-   Drive alignment across cross-functional teams to deliver measurable business outcomes.

### Delivery & Execution

-   Oversee end-to-end project delivery from discovery and experimentation to production deployment.
-   Monitor KPIs and model performance to ensure continuous improvement.
-   Balance technical debt, innovation, and business priorities effectively.
-   Drive agile delivery practices within the squad.

## Requirements

-   **10+ years of experience** in Data Science, Machine Learning, Software Engineering, or related technical fields.
-   **4+ years of people management experience** leading Data Science or Machine Learning teams.
-   Proven experience leading cross-functional squads in product-driven environments.
-   Demonstrated track record of deploying machine learning models into production.

### Technical Skills

Strong expertise in:

-   Machine Learning
-   Statistical Modeling
-   Predictive Analytics
-   Deep Learning
-   NLP and/or Generative AI
-   Experiment Design and A/B Testing

Advanced proficiency in:

-   Python
-   SQL
-   Data Visualization tools

Experience with:

-   MLOps practices
-   Model monitoring and governance
-   Cloud platforms (Azure, AWS, or GCP)
-   Data Engineering concepts and modern data platforms

Familiarity with:

-   LLMs and Generative AI applications
-   Feature stores
-   Recommendation systems
-   Real-time machine learning solutions

### Preferred Qualifications

-   Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or a related field.
-   Experience within FinTech, Digital Products, E-commerce, Banking, or Technology organizations.
-   Experience managing large-scale data platforms and AI initiatives.
-   Knowledge of modern software engineering practices and DevOps methodologies.

## Benefits

-   Lead cutting-edge AI and Data Science initiatives.
-   Build products impacting millions of users.
-   Work with highly talented engineering and product teams.

-   Shape the future of data-driven decision making within the organization.
-   When you come to our b\_labs office, you'll find creative workspaces and an open design to foster collaboration between teams.
-   You know best whether you want to work from home or in the office.
-   From "Day 1" you will receive all the equipment you need be successful at work.