Data Scientist
3 weeks ago
At LMA, we are seeking a highly skilled Data Scientist to join our team. As a Data Scientist, you will play a key role in driving business growth by leveraging data analysis and machine learning techniques to inform strategic decisions.
Responsibilities:- Data Analysis and Insights: Collaborate with stakeholders to understand business objectives and requirements, and conduct comprehensive data analysis to identify patterns, trends, and insights from large and complex datasets.
- Machine Learning and Modeling: Develop and maintain scalable data pipelines and workflows to process and analyze large volumes of data, and create predictive models and algorithms tailored to specific business use cases.
- Visualization and Communication: Create visually appealing and insightful data visualizations to communicate complex findings and insights to both technical and non-technical stakeholders.
- Experimentation and Optimization: Contribute to the design and implementation of experiments to test hypotheses and validate model performance, and work closely with machine learning engineers to deploy models into production and monitor their performance.
- Documentation and Knowledge Sharing: Document methodologies, procedures, and findings in a clear and concise manner to ensure knowledge sharing and maintain accurate records.
- Education: Bachelor's degree or above in Statistics, Computer Science, Mathematics, Business Analytics, Economics, or similar, or Master's in Statistics or quantitative analytics.
- Experience: 4-7 years of experience in data science or a related field.
- Skills: Knowledge of machine learning techniques, proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and algorithm development, strong programming skills in Python, R, SQL, or other programming languages.
- Desirable Skills: Experience in the financial and insurance sector, experience with cloud technologies (AWS/GCP/Azure), eagerness to learn and adapt to new technologies and methodologies, understanding of Generative AI methodologies.
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