Lead Data Scientist (Remote) - $24/Hour

Unlock Your Potential with CVS: Lead Data Scientist Opportunity

We are seeking a highly skilled and motivated Lead Data Scientist to join our team remotely. As a Lead Data Scientist at CVS, you will have the freedom and flexibility to work from anywhere while driving business growth and innovation. This is a full-time opportunity with a competitive salary of $24/hour.

Job Details:

• Hiring Organization: CVS
• Post Name: Lead Data Scientist
• Industry: Private
• Employment Type: Full-time
• Work Hours: 8 hours
• Salary: $24/hour
• Location: New York, USA (Remote)

Job Description:

We are a rapidly growing team focused on leveraging artificial intelligence and automation to drive business insights and improve financial performance. As a Lead Data Scientist, you will work closely with leaders from various business units to develop industry-leading analytical applications and solutions that enhance business processes, reduce costs, and improve return on investment.

The key focus of this role is to utilize CVS data assets and advanced analytics to uncover valuable insights and provide sophisticated analytical and data science solutions to our colleagues.

Essential Responsibilities:

• Translate business problems into modeling approaches, considering business requirements, data availability, development time, and scalability.
• Prepare data for analysis, working with data engineering teams to create modeling datasets and perform feature engineering.
• Develop AI, statistical, or optimization models, staying up-to-date with the latest research and technological advancements.
• Design end-to-end pipelines and solutions, collaborating with engineering and application development teams to scale and productionalize AI models and advanced analytics.

Required Capabilities:

• 2+ years of data science experience in a business setting, including collaborating with stakeholders to understand issues, gather business requirements, design data science models, and deliver results and insights.
• Knowledge of data management and model productionalization best practices.
• Experience applying AI libraries to address real-world data science problems.
• Proficiency in common modeling tools and frameworks, such as Python, R, Scala, TensorFlow, etc.

Preferred Capabilities:

• Experience working with financial data.
• Experience building applications.

Ready to Apply?

If you are a motivated individual ready to contribute to a thriving team, we encourage you to apply now! We are excited to review your application.