Data Scientist (225-624)

We are seeking an innovative and experienced Data Scientist to join our team. As a Data Scientist, you will be responsible for analyzing complex data sets to extract valuable business insights and guide strategic decisions. You will collaborate with cross-functional teams, including data engineers, software developers, and analysts, to develop and implement data-driven strategies that enhance our organizational performance. Your expertise in statistical analysis, data mining, and predictive modeling will be crucial in solving complex challenges and improving our data-driven approach. If you have a passion for data science and a knack for translating numbers into actionable insights, this role offers a pivotal opportunity to make a significant impact.

Responsibilities

• Develop and implement data models and algorithms to analyze data trends.
• Collaborate with cross-functional teams to enhance data-driven decision-making.
• Identify valuable data sources and automate data collection processes.
• Analyze large, complex datasets and interpret patterns using statistical tools.
• Design and build predictive models to forecast trends and business outcomes.
• Visualize data insights through compelling charts and graphs for stakeholders.
• Monitor and optimize the performance and accuracy of data models consistently.
• Stay up-to-date with advancements in data science tools and methodologies.
• Communicate results and findings to diverse audiences, including non-technical stakeholders.
• Ensure data integrity and compliance with legal and ethical standards.
• Participate in peer reviews of other data scientists’ work to ensure quality.
• Develop and maintain documentation for data processes and models used.

Requirements

• Bachelor's or Master’s degree in Data Science, Statistics, or a related field.
• Proficiency in data analysis tools such as Python, R, and SQL is essential.
• Strong experience with data visualization tools like Tableau or Power BI.
• Proven ability to formulate complex problems and design efficient solutions.
• Solid understanding of machine learning algorithms and predictive modeling.
• Excellent communication skills to convey complex findings clearly and concisely.
• Experience working in a fast-paced environment and managing multiple projects.