Data Scientist (225-909)

We are seeking a skilled and analytical Data Scientist to join our dynamic team. As a Data Scientist, you will play a crucial role in analyzing and interpreting complex data to help drive strategic business decisions. You will be responsible for designing and implementing data models, and creating algorithms that improve data quality and drive intelligent insights. The ideal candidate will have a strong background in statistical analysis, machine learning, and data visualization, along with proficiency in programming languages such as Python or R. If you are a critical thinker with a passion for uncovering hidden trends and solving complex problems through data, we would love to hear from you.

Responsibilities

• Analyze large datasets to discover patterns and provide actionable insights.
• Design and implement machine learning models to solve business challenges.
• Collaborate with cross-functional teams to develop and optimize data-driven strategies.
• Create and maintain data pipelines to ensure the accuracy and integrity of data.
• Develop and maintain predictive models and deploy them into production environments.
• Communicate findings and insights to stakeholders through reports and presentations.
• Stay updated with the latest trends and advancements in data science and analytics.
• Apply statistical analysis techniques to validate data integrity and reliability.
• Work closely with data engineers to improve data accessibility and usability.
• Ensure compliance with data privacy regulations and best practices.
• Explore and evaluate new data sources to enhance data-driven decision-making.
• Provide guidance and mentorship to junior data science team members.

Requirements

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field.
• Proven experience working in data science, analytics, or a related role.
• Proficiency in programming languages such as Python, R, or SQL for data manipulation.
• Strong understanding of machine learning algorithms and statistical methods.
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Excellent problem-solving skills and the ability to think critically and analytically.
• Strong communication skills with the ability to present complex data insights effectively.