Data Scientist
Controller Job Description
A Data Scientist has the responsibility of taking a set of data and interpreting it correctly so that it may be used in a variety of performance-enhancing aspects, programs, hardware, and other areas dictated by the company. The work that a Data Scientist does will often be used to either create artificial intelligence or to enable artificial intelligence to operate more efficiently when it comes to the processes under its control.
Data science is the study of data to extract meaningful insights for business. It is a multidisciplinary approach that combines principles and practices from the fields of mathematics, statistics, artificial intelligence, and computer engineering to analyze large amounts of data. This analysis helps data scientists to ask and answer questions like what happened, why it happened, what will happen, and what can be done with the results.
Typical duties of a Controller
Roles and Responsibilities:
• Undertaking data collection, preprocessing and analysis.
• Building models to address business problems.
• Presenting information using data visualization techniques.
• Identify valuable data sources and automate collection processes
• Undertake preprocessing of structured and unstructured data
• Analyze large amounts of information to discover trends and patterns
• Build predictive models and machine-learning algorithms
• Combine models through ensemble modeling
• Present information using data visualization techniques
• Propose solutions and strategies to business challenges
• Collaborate with engineering and product development teams
Essential skills:
• Analytical mind and business acumen
• Problem-solving aptitude
• Excellent communication and presentation skills
• Teamwork skills
• Investigative skills
• Interest in statistics
• Interest in predicting trends and identifying patterns
• Innovative thinking
• Observation skills
• Critical thinking
Qualifications: BSc/BA in Computer Science, Engineering, or relevant field; graduate degree in Data Science or another quantitative field is preferred,