Senior Data Scientist 28J25

As a Senior Data Scientist at our company, you will play a pivotal role in harnessing the power of data to drive strategic decision-making and innovation. You will collaborate with cross-functional teams to integrate machine learning models and advanced analytics into our business processes, ensuring data-driven strategies are implemented across the board. Your expertise in data interpretation and predictive modeling will be essential in guiding our business objectives and enhancing operational efficiencies. You will lead data science projects, mentor junior data scientists, and contribute to the development of our analytical capabilities. If you are passionate about transforming data into actionable insights and have a desire to work with large-scale and complex datasets, then this role is for you.

Responsibilities

• Lead the design and implementation of data-driven strategies and solutions.
• Develop and optimize advanced machine learning models to solve complex problems.
• Collaborate with cross-functional teams to integrate data-driven approaches into business processes.
• Analyze large, complex datasets to extract actionable insights and trends.
• Guide and mentor junior data scientists in technical and project development areas.
• Continuously improve processes by researching new methodologies in data science.
• Ensure the quality and accuracy of data and analytics by establishing rigorous testing best practices.
• Present findings, insights, and recommendations to stakeholders in a clear and compelling manner.
• Drive adoption of data science solutions through effective engagement with business units.
• Maintain awareness of industry trends and advancements in data science technologies.
• Contribute to the development of data strategy and ensure alignment with company goals.
• Ensure data governance and compliance with relevant policies and regulations.

Requirements

• Master's degree or higher in Data Science, Computer Science, or related field.
• Minimum of 5 years of experience in data science or related analytical roles.
• Proficiency in programming languages such as Python, R, or similar tools.
• Strong experience with machine learning frameworks such as TensorFlow, Keras, or Scikit-learn.
• Excellent analytical and problem-solving skills with attention to detail.
• Proven ability to communicate complex concepts to non-technical stakeholders effectively.
• Experience in managing and leading data science projects from concept to completion.