Senior Data Scientist

As a key member of our digital transformation team, the successful candidate will be responsible for driving forward our data-driven projects, ensuring that we leverage advanced analytics and machine learning to optimize business processes and enhance decision-making capabilities.

Primary Duties and Responsibilities

61 Lead the conception, design, development, and deployment of machine learning models to address business challenges and opportunities.

61 Collaborate with cross-functional teams to identify areas where machine learning can add value and develop solutions that drive efficiency and innovation.

61 Utilize Python for programming tasks, including but not limited to data preprocessing, algorithm implementation, and model testing.

61 Perform data analysis to derive insights and inform strategic decisions, using statistical methods and data visualization tools.

61 Develop and maintain applications on Microsoft platforms to support data processing and analytics workflows.

61 Ensure the quality and reliability of machine learning systems through rigorous testing and validation procedures.

61 Stay current with emerging trends and technologies in the field of artificial intelligence and digitalization to keep the company at the forefront of innovation.

61 Other tasks assigned by manager.

Required Qualifications

61 Master’s degree in Computer Science, Data Science, Statistics, Engineering, or a related field; PhD’s degree preferred.

61 Proven experience (minimum 3-5 years) in a similar role, with a focus on machine learning projects.

61 Proficiency in programming languages such as Python, SQL, and OOP languages like C# or Java.

61 Experience with data analysis, statistical modeling, and machine learning techniques. Strong analytical and critical thinking skills to identify patterns and trends within data.

61 Experience with computer vision, NLP, and LLMs for developing advanced AI models.