Job Overview:
We are seeking an experienced and highly motivated Senior Data Scientist to join our dynamic team. As a Senior Data Scientist, you will leverage your expertise in data analytics, machine learning, and statistical modeling to drive impactful business decisions. You will work closely with cross-functional teams to develop advanced models and extract insights from complex datasets to enhance our insurance offerings and improve customer experience.
Key Responsibilities:
- Lead the design, development, and deployment of machine learning models and advanced analytics solutions to solve complex business problems.
- Collaborate with stakeholders to understand business needs, translate them into analytical requirements, and deliver actionable insights.
- Mentor and guide junior data scientists, fostering a culture of continuous learning and professional development.
- Conduct exploratory data analysis to identify patterns, trends, and opportunities for optimization.
- Develop and maintain comprehensive documentation for data science projects, including methodologies, processes, and model performance metrics.
- Stay up-to-date with the latest advancements in data science, machine learning, and artificial intelligence to ensure the application of cutting-edge techniques.
- Communicate findings and recommendations to non-technical stakeholders through clear and concise presentations and reports.
- Work with engineering teams to implement scalable data pipelines and integrate models into production systems.
Qualifications:
- Bachelor’s in Data Science, Statistics, Computer Science, Mathematics, Economics or a related field.
- 3+ years of experience in data science, with a proven track record of delivering successful data-driven solutions in a business environment.
- Proficiency in programming languages such as Python, R and experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn).
- Strong knowledge of machine learning algorithms, statistical modeling, and data visualization techniques.
- Excellent problem-solving skills and the ability to think critically and analytically.
- Strong communication skills, with the ability to present complex concepts to technical and non-technical audiences.
- Experience in the insurance industry or a related field is a plus.
Preferred Skills:
- Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with A/B testing and experimental design.
- Knowledge of natural language processing (NLP) and text analytics.
- Understanding of data privacy regulations and best practices in data security.