Primarily provide support to more senior Data Scientists in various aspects of data science projects. This includes pulling data from various sources, cleaning and preprocessing the data to ensure its quality, and building and maintaining existing models to support business needs. In addition, you will be responsible for performing data analysis and generating insights that can inform business strategies. You will also participate in the presentation of results to internal stakeholders, ensuring that complex data findings are translated into actionable insights. This role requires a proactive approach to problem-solving and a commitment to staying updated with the latest industry trends and techniques.Candidates should possess at least an undergraduate degree in a relevant field, such as Data Science, Computer Science, Statistics, or a related discipline, along with 2+ years of relevant work experience. Alternatively, a master's degree in a relevant field is also acceptable. The ideal candidate will have a strong foundation in statistical analysis and machine learning, experience with data manipulation and visualization tools, and proficiency in programming languages such as Python or R. Additionally, excellent communication skills, attention to detail, and the ability to work collaboratively in a team environment are essential. Experience with cloud platforms, big data technologies, and advanced analytical techniques is a plus. The candidate should also demonstrate a continuous learning mindset, staying abreast of the latest developments in data science and analytics.
