Data Scientist
3 weeks ago
We are seeking a highly skilled Data Scientist to join our Data Analytics team at Gallagher Service Center LLP. As a Data Scientist, you will play a crucial role in helping us make better business decisions based on our data.
Key Responsibilities:- Perform statistical analyses, exploratory data analysis, and data research to identify patterns and trends that can improve our products' and services' efficiency and usability.
- Design accurate and scalable prediction algorithms using machine learning techniques.
- Collaborate with the engineering team to bring analytical prototypes to production.
- Generate actionable insights for business improvements.
- Bachelor's degree or equivalent experience in a quantitative field (Statistics, Mathematics, Computer Science, Engineering, etc.).
- At least 2-3 years' of experience in quantitative analytics or data modeling.
- Deep understanding of predictive modeling, machine learning, clustering, and classification techniques, and algorithms.
- Fluency in a programming language (Python, C, C++, Java, SQL).
- Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau).
- Expert-level knowledge of AI/ML techniques.
- Strong knowledge of Python & R, MS Azure ML Studio, AWS, or Google Cloud.
- Knowledge of data science toolkits such as R, NumPy, and MatLab.
- Computer science: Apply the principles of artificial intelligence, database systems, human/computer interaction, numerical analysis, and software engineering.
- Programming: Write computer programs and analyze large datasets to uncover answers to complex problems.
- Data storytelling: Communicate actionable insights using data, often for a non-technical audience.
- Analytical thinking: Find analytical solutions to abstract business issues.
- Business intuition: Connect with stakeholders to gain a full understanding of the problems they're looking to solve.
- Interpersonal skills: Communicate across a diverse audience across all levels of an organization.
- Critical thinking: Apply objective analysis of facts before coming to a conclusion.
- Inquisitiveness: Look beyond what's on the surface to discover patterns and solutions within the data.
- 3+ years of relevant experience.
- Strong domain knowledge.
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