Senior Data Scientist - CLIN 0011: Data Analytics

Overview

The Senior Data Scientist - CLIN 0011: Data Analytics plays a critical role in driving data-informed decision-making within the organization. This position requires a blend of statistical knowledge, programming skills, and a keen understanding of business operations. The Senior Data Scientist will leverage extensive data sets to develop models and algorithms that address complex business challenges, ultimately enhancing operational efficiency and strategic growth. As a leader in the data analytics team, this role not only involves hands-on analysis but also mentoring junior team members and collaborating with cross-functional teams to ensure data strategies align with organizational goals. The importance of this role lies in its capacity to transform data into actionable insights, providing a competitive edge and facilitating evidence-based decision making. Furthermore, by staying abreast of industry trends and innovations, the Senior Data Scientist will contribute to the continuous improvement of data practices and methodologies within the organization.

Key Responsibilities

• Collect, clean, and preprocess large datasets for analysis.
• Develop and implement advanced machine learning models.
• Analyze complex data sets and interpret results to provide actionable insights.
• Create and enhance data visualization tools and dashboards.
• Collaborate with stakeholders to identify data-driven opportunities for improvement.
• Conduct statistical analysis to validate model effectiveness.
• Design experiments and analyze outcomes to optimize processes.
• Mentor junior data scientists and provide guidance on methodologies.
• Write clear, concise reports to convey analytical findings.
• Present findings and recommendations to management and stakeholders.
• Stay updated on industry trends, technologies, and best practices in data science.
• Work with IT teams to manage data infrastructure and ensure data availability.
• Ensure data integrity and security compliance in all analyses.
• Collaborate with cross-functional teams to align data initiatives with company objectives.
• Participate in the development of data analytics strategies.
  
  

Required Qualifications

• Master’s or Ph.D. in Data Science, Statistics, Computer Science, or a related field.
• 5 years of experience in data science or a related analytics field.
• Strong knowledge of machine learning algorithms and techniques.
• Proficiency in programming languages such as Python, R, or Java.
• Experience with big data technologies like Hadoop or Spark.
• Expertise in SQL and database management.
• Familiarity with data visualization tools such as Tableau or Power BI.
• Solid understanding of statistical analysis and hypothesis testing.
• Excellent problem-solving abilities and analytical thinking.
• Strong interpersonal and communication skills.
• Experience with cloud platforms like AWS or Azure is a plus.
• Ability to work independently and within a team environment.
• Project management skills and experience leading analytics projects.
• Demonstrated capability in delivering presentations and reports.
• Commitment to continuous learning and professional development.
• Industry experience in healthcare analytics is preferred.
  
  

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Skills: python,project management,data visualization,predictive modeling,data analysis,big data technologies,java,aws,sql,tableau,machine learning,statistical analysis,hadoop,r,azure,sql proficiency,data mining,power bi,programming languages,spark