Lead Data Scientist

6 days ago

Islamabad, Islamabad, Pakistan Stixor Full time

Experience: 5+ years of experience

About the Role

As a Lead Data Scientist, you will define our data science strategy, develop advanced machine learning models, and translate insights into business outcomes. You will lead a team of data scientists and collaborate with engineering, product, and business teams to deliver scalable solutions.

Key Responsibilities

  1. Strategic Leadership: Drive the vision for data science initiatives aligned with business goals and present innovative AI/ML strategies to leadership.
  2. Team Management: Lead, mentor, and grow a team of data scientists and analysts, providing guidance on best practices in model development, validation, deployment, and monitoring.
  3. Technical Excellence: Design and implement machine learning and statistical models to solve complex problems, leveraging NLP, computer vision, or deep learning as appropriate. Manage the entire model lifecycle from data collection to deployment and performance tuning. Collaborate with engineering teams to productionize models and ensure scalability. Work closely with stakeholders to understand needs and translate them into data-driven solutions. Ensure data quality and compliance with privacy regulations. Promote data democratization and a data-driven culture.

Required Skills and Qualifications

  • Master's degree in Computer Science, Statistics, Mathematics, Engineering, or related field.
  • 5+ years in data science, including 2+ years in leadership roles.
  • Experience with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch, LangChain).
  • Proficiency in Python, SQL, and data visualization tools (e.g., Power BI, Tableau).
  • Experience deploying models to production using Docker, REST APIs, MLFlow.
  • Excellent communication skills to explain complex concepts to stakeholders.
  • Experience in FinTech is a plus.

Preferred Qualifications

  • Experience with cloud platforms (AWS, GCP, Azure).
  • Knowledge of MLOps, CI/CD pipelines, ML QA, and governance.
  • Contributions to the data science community are a plus.

Benefits include: Generous leave policies, performance bonuses, remote work options, and comprehensive health and life insurance.

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Engineering and Information Technology

Industries: IT Services and IT Consulting

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