Lead Data Scientist Salla

Responsibilities

• Lead complex data science projects from conception to deployment, focusing on business impact and scalability.
• Mentor and guide junior data scientists, fostering a collaborative learning environment and promoting best practices.
• Collaborate with stakeholders across the organization to identify opportunities for leveraging data and analytics to drive business solutions.
• Design, implement, and optimize machine learning models and advanced analytics frameworks to extract insights from data.
• Stay at the forefront of data science trends and technologies, and continually innovate our approach to data analytics.
• Communicate findings, insights, and recommendations to both technical and non-technical audiences.
• Ensure code quality and maintainability by promoting best practices in software development.
• Ability to work in a fast-paced environment and manage multiple projects simultaneously.

Skills

• Extensive experience in building and deploying machine learning models in production environments.
• Proficiency in programming languages such as Python or R and familiarity with big data frameworks (e.g., Spark, Hadoop).
• Strong understanding of statistical analysis, predictive modeling, and data mining techniques.
• Experience in mentoring and developing team members.
• Excellent analytical, problem-solving, and communication skills.

Additional Skills

• Experience with Natural Language Processing (NLP) and computer vision.
• Knowledge of cloud platforms (e.g., AWS, Google Cloud) for deploying data science solutions.