Sr Data Scientist (225-923)

A Senior Data Scientist is a pivotal member of a data-driven organization, responsible for leading complex projects that transform data into actionable insights. With a deep understanding of analytics, statistics, and machine learning, the Senior Data Scientist works on large datasets to solve intricate business problems. They are experts in data modeling and algorithm development, leveraging their advanced expertise to design and implement robust predictive models. As a senior team member, they guide and mentor junior data scientists, ensure best practices are followed, and engage with stakeholders across the organization to deliver impactful data solutions. Ultimately, their work supports strategic decision-making and drives business growth.

Responsibilities

• Develop and deploy advanced predictive models to solve key business issues.
• Lead end-to-end data science projects from inception to completion.
• Collaborate with cross-functional teams to understand and translate business needs.
• Design and implement data pipelines to ensure robust data availability.
• Conduct exploratory data analysis to uncover trends and patterns in large datasets.
• Mentor and guide junior data scientists to foster professional growth.
• Present complex data science concepts to non-technical stakeholders effectively.
• Stay updated on the latest data science trends and technologies for implementation.
• Ensure data integrity and quality by applying rigorous validation processes.
• Develop and maintain scripts and queries for data extraction and processing.
• Identify, evaluate, and recommend data science tools and frameworks.
• Generate meaningful insights to facilitate strategic business decision-making.

Requirements

• Master's or Ph.D. in Data Science, Computer Science, or related field.
• At least 5 years of experience in data science or related roles.
• Proficiency in data analysis tools such as Python, R, and SQL.
• Strong understanding of machine learning algorithms and statistical methodologies.
• Experience with data visualization tools like Tableau, Power BI, or similar.
• Excellent problem-solving skills with a focus on analytical thinking.
• Proven track record of delivering data-driven insights and recommendations.