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Lead Data Scientist Position

1 week ago


Stockholm, Stockholm, Sweden Igbaffiliate Full time
About the Role

The Data Science Team Lead position at Igbaffiliate requires a highly skilled and experienced professional to oversee the development and implementation of machine learning models and algorithms.

Key Responsibilities
  1. Oversee the design and implementation of machine learning models and algorithms, ensuring they meet the company's needs for robustness, scalability, and performance.
  2. Manage and mentor a team of data scientists, providing guidance on project timelines, resources, and staffing.
  3. Develop and execute projects that align with business objectives, leveraging data science to drive strategic decision-making.
  4. Stay updated with the latest advancements in machine learning and AI, implementing best practices to ensure the team's expertise remains cutting-edge.
Requirements
  • At least 4 years of engineering experience, with at least 1 year in a leadership role.
  • Strong knowledge of machine learning concepts and techniques.
  • Advanced understanding of Python and relevant data science packages (numpy, pandas, scikit-learn, etc.).
  • Solid experience with SQL (MySQL, Google BigQuery) and data warehousing/ETL processes.
  • Ability to deploy models to production using Flask/FastAPI, Linux, Docker, GitLab CI/CD, and GCP.
  • Understanding of algorithms and data structures, as well as software and system design principles.
  • Strong foundation in probability and statistics (e.g., MLE, CLT, hypothesis testing, Bayesian inference).
  • Analytical thinking, problem-solving skills, attention to detail, big picture vision, and strategic thinking.
  • Proactivity, initiative, autonomy, business acumen, curiosity, and learning agility.
  • Strong leadership and communication skills.
Benefits
  • Flexible work hours and remote work options.
  • Paid time off and medical insurance.
  • Courses and training compensation.
  • English classes and speaking clubs.
  • Internal library and educational events.
  • Corporate parties and teambuildings.