Data Scientist

Posted 11 days agoViewed

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💎 Seniority level: Junior, 2+ years

📍 Location: United States

💸 Salary: 110000.0 - 140000.0 USD per year

🔍 Industry: Insurance

🏢 Company: gaig_external

🗣️ Languages: English

⏳ Experience: 2+ years

🪄 Skills: AWSPythonSQLCloud ComputingData AnalysisMachine LearningAlgorithmsData scienceRESTful APIs

Requirements:

Bachelor’s degree or above in Statistics, Mathematics, Actuarial Science or Computer Science with at least 2 years of relevant working experience
Possesses extensive expertise in machine learning algorithms and techniques, including supervised learning, unsupervised learning, and deep learning
Has in-depth knowledge of statistical analysis methods and their applications in data science
Highly proficient in Python and machine learning frameworks, with extensive experience in writing efficient, maintainable, and well-documented code
Has a working knowledge of PySpark, capable of performing basic data manipulation and processing tasks in a distributed computing environment
Basic understanding of SQL and experience writing queries to extract data
Experienced in optimizing data workflows for efficient large-scale data processing and analysis
Experience of working on a cloud-based ML platform is a plus; Experience of working with insurance related data is a plus

Responsibilities:

Innovate and implement cutting-edge machine learning algorithms, aiming to extract greater lift from our data and deliver enhanced value to our customers
Proactively seek out and identify useful attributes from various data sources to enhance our core data assets. Rigorously validate the utility and relevance of new data to ensure it contributes to the improvement of our models and insights
Conduct thorough descriptive and statistical analyses on customer data to uncover valuable patterns and insights. Apply creative analytical approaches to ensure that results are directly aligned with customer needs and support their business decision-making processes
Present results, findings, and models to customers and stakeholders with a high level of technical expertise and industry knowledge. Act as a technical expert, industry insider, and company promoter, ensuing that presentations are clear, informative, and persuasive
Work closely with other data scientists, engineers, product managers, and other stakeholders to integrate machine learning models and statistical analyses into our products and services. Ensure seamless collaboration and knowledge sharing across the teams
Keep up with the latest developments and trends in machine learning, data science, and the insurance technology industry. Apply this knowledge to continuously improve our models, methodologies, and approaches
Adhere to data privacy regulations and ensure that all data handling practices comply with relevant legal and ethical standards. Maintain the highest levels of data security and confidentiality

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