Data Scientist 27O25

As a Data Scientist, you will be an integral part of our data team, leveraging your analytical, statistical, and programming skills to collect, analyze, and interpret large datasets. Your expertise will support our decision-making processes and help drive strategic business decisions. You will develop and implement machine learning models, visualize data insights, and work in collaboration with cross-functional teams to enhance our understanding of data patterns. Your work will play a critical role in shaping our processes, improving our product offerings, and optimizing our overall business strategies. This is an opportunity to work in a dynamic environment, where your contributions will directly impact our business outcomes, and you will be encouraged to innovate and implement new data solutions.

Responsibilities

• Design and develop scalable data models for business outcomes optimization.
• Collect, preprocess, and analyze large datasets to extract meaningful insights.
• Implement machine learning algorithms to build predictive and prescriptive models.
• Collaborate with cross-functional teams to integrate models into decision-making processes.
• Develop visualization tools to communicate data-driven insights to stakeholders.
• Monitor and optimize the performance of data models and algorithms continuously.
• Research and develop novel techniques for data extraction and analysis.
• Document methodologies and processes for reproducibility and consistency.
• Stay updated on industry trends to apply new data science techniques effectively.
• Provide technical guidance and mentor junior data science team members as required.
• Ensure compliance with data governance standards and practices.
• Participate in peer reviews and provide constructive feedback on analytical processes.

Requirements

• Bachelor’s degree in Data Science, Computer Science, Statistics, or related field.
• Proven experience in statistical analysis and data mining techniques.
• Proficient in programming languages such as Python, R, or SQL.
• Strong understanding of machine learning algorithms and data processing workflows.
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Excellent problem-solving skills and ability to work independently and in teams.
• Strong communication skills to present technical information to non-technical audiences.