Data Scientist

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Job Type: Full-Time Location: Jamaica (Remote) Job Summary: A Data Scientist is responsible for analyzing complex datasets to extract insights, build predictive models, and support data-driven decision-making. Job Description Data Collection Cleaning Gather and preprocess data from various sources to ensure accuracy. Statistical Analysis Modeling Apply machine learning algorithms and statistical techniques to uncover patterns. Data Visualization Reporting Present findings using dashboards and reports for business stakeholders. Big Data Processing Work with large datasets using tools like Hadoop, Spark, and cloud platforms. Collaboration Strategy Work with cross-functional teams to align data initiatives with business goals. Data Governance Security Ensure compliance with data privacy regulations and best practices. Required Skills Proficiency in Python, R, SQL , and data visualization tools. Strong understanding of machine learning, deep learning, and AI algorithms . Experience with big data technologies (Hadoop, Spark, TensorFlow). Knowledge of cloud computing platforms (AWS, Azure, GCP). Advanced understanding of statistical analysis and predictive modeling . Ability to communicate complex data insights to non-technical stakeholders. Experience working within banking industry is an asset. Educational Requirements A bachelors degree in data science, computer science, mathematics, or a related field. A masters degree or Ph.D. is often preferred for senior roles. Certifications like Google Professional Data Scientist or AWS Certified Machine Learning Specialty can enhance qualifications. Originally posted on Himalayas

职位类型：全职 地点：牙买加（远程） 职位概述：数据科学家负责分析复杂数据集以提取洞察、构建预测模型，并支持数据驱动的决策。 职位描述 数据收集与清洗 从各种来源收集和预处理数据以确保准确性。 统计分析与建模 应用机器学习算法和统计技术来发现模式。 数据可视化与报告 使用仪表板和报告向业务利益相关者展示发现。 大数据处理 使用Hadoop、Spark和云平台等工具处理大型数据集。 协作与战略 与跨职能团队合作，使数据计划与业务目标保持一致。 数据治理与安全 确保遵守数据隐私法规和最佳实践。 所需技能 熟练掌握Python、R、SQL和数据可视化工具。 对机器学习、深度学习和AI算法有深入理解。 具有大数据技术经验（Hadoop、Spark、TensorFlow）。 了解云计算平台（AWS、Azure、GCP）。 对统计分析和预测建模有高级理解。 能够向非技术利益相关者传达复杂的数据洞察。 具有银行业工作经验者优先。 教育要求 数据科学、计算机科学、数学或相关领域的学士学位。 高级职位通常优先考虑硕士学位或博士学位。 Google Professional Data Scientist或AWS Certified Machine Learning Specialty等认证可以提升资质。 原发布于Himalayas

⚑ 岗位信息收录自公开招聘页（Himalayas），以雇主官网为准