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Engineering Manager (Data Science)

Engineering Manager (Data Science)

Mylo
10-12 Years

This job is no longer accepting applications

Job 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.

More Info

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Key Skills

Real-time machine learning solutions

Data Visualization tools

Feature stores

Data Engineering concepts and modern data platforms

Recommendation systems

MLOps practices

Model monitoring and governance

LLMs and Generative AI applications

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