Senior Data Scientist (225-813)

As a Senior Data Scientist, you will play a pivotal role in driving the development and implementation of intricate data models and analytic strategies to enhance our business decision-making processes. You will leverage your profound experience in data science and statistics to analyze large datasets, identify trends, and provide actionable insights that contribute to our company’s success. Your capacity to work collaboratively with other data professionals and cross-functional teams will be essential in developing data-driven solutions that meet our strategic objectives. The ideal candidate will possess a mix of strong technical skills, effective communication abilities, and a deep understanding of machine learning algorithms and data analysis methods.

Responsibilities

• Develop and implement data models to drive the company's analytics capabilities.
• Collaborate with cross-functional teams to translate business requirements into data-driven solutions.
• Analyze complex datasets to identify key trends and provide actionable insights.
• Create and maintain predictive models to forecast business metrics and outcomes.
• Apply machine learning algorithms to enhance data processing and analysis capabilities.
• Lead data initiatives to improve data quality, reliability, and efficiency across the organization.
• Mentor and guide junior data scientists in their analytical and technical skill development.
• Design and execute experiments to validate hypotheses and optimize processes.
• Utilize visualization tools to present analytical findings to stakeholders in a clear manner.
• Develop and monitor key performance indicators to measure the impact of data initiatives.
• Stay abreast of industry best practices and emerging trends in data science and analytics.
• Manage multiple projects simultaneously, ensuring timely delivery and quality of results.

Requirements

• Master’s degree in Data Science, Statistics, Computer Science, or a related field.
• At least 5 years of experience working in a data science or analytics role.
• Strong proficiency in programming languages such as Python, R, or SQL.
• Extensive experience in building and deploying machine learning models.
• Ability to effectively communicate complex data insights to non-technical stakeholders.
• Experience with data visualization tools like Tableau, Power BI, or similar platforms.
• Proven problem-solving skills and ability to think critically and strategically.