Complex Litigation Associate

Mercer is seeking a dynamic and experienced Data Scientist to join our team. If you are passionate about using data to drive business outcomes, we want to hear from you.

About the role

The Data Scientist will work closely with cross-functional teams to analyze complex datasets, develop predictive models, and provide actionable insights to inform business decisions. This role requires a strong foundation in statistics, machine learning, and programming skills.

Responsibilities

• Develop and maintain predictive models using statistical and machine learning techniques
• Collaborate with business stakeholders to understand their needs and translate them into actionable insights
• Present findings and recommendations to senior leadership in a clear and concise manner
• Stay current with emerging trends and technologies in data science and analytics

Requirements

• Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field
• Minimum 3 years of relevant experience in data analysis or related field
• Proficiency in Python, R, or other relevant programming languages
• Experience with SQL and database management systems
• Strong analytical and problem-solving skills
• Excellent communication and presentation skills

Qualifications

• Advanced degree in Statistics, Mathematics, Computer Science, or a related field
• Experience with big data platforms and tools (e.g., Hadoop, Spark)
• Knowledge of data visualization tools (e.g., Tableau, Power BI)
• Experience with cloud-based data storage solutions (e.g., AWS, Azure)

Skills

• Statistical modeling and inference
• Machine learning algorithms and techniques
• Data wrangling and preprocessing
• Data visualization and storytelling
• Collaboration and teamwork

Benefits

• Competitive salary commensurate with experience
• Flexible work schedule
• Health insurance benefits
• Professional development opportunities

Pay

Salary range: $80,000 - $120,000 annually

Schedule

Full-time position

Remote work options available

Regular in-person meetings with team members