职位&公司对比

职位详情

• 南京
• 不限
• 硕士

• 参加算法相关竞赛/获奖
• SQL

岗位职责： 1. 数据分析与建模：参与公司数据分析项目，包括数据清洗、数据分析洞察及数据建模。 2. AI应用研究：学习并探索AI在业务中的应用，例如机器学习、自然语言处理、计算机视觉等，支持智能化产品开发与优化。 3. 数据可视化与报告：使用Power BI、Tableau或Python等工具，制作数据可视化报表，提供数据洞察支持业务决策。 4. 数据管道与管理：协助构建和优化数据仓库、数据湖及ETL流程，提高数据质量和可用性。 5. 跨部门合作：与业务团队、IT团队紧密合作，理解业务需求并提供数据驱动的解决方案。 6. 技术学习与创新：跟踪AI和数据分析领域的前沿技术，参与内部技术分享，不断提升自身能力。 任职要求： 1. 教育背景： 计算机科学、数据科学、人工智能、统计学、数学、工程等相关专业本科及以上学历。在校期间有AI、数据分析相关项目经验者优先。 2. 技术能力： - 具备扎实的数据分析基础，熟悉Python（Pandas、Numpy、Scikit-learn等）或R等数据分析工具。 - 理解基本的机器学习概念，有实际操作经验（如分类、回归、聚类等）。 熟悉SQL，能进行数据查询和简单的数据管理。 - 了解Power BI、Tableau，Quick BI等数据可视化工具者优先。 - 熟悉云计算平台（AWS、Azure、ALI）上的AI工具和数据处理流程。 - 具备NLP、计算机视觉、强化学习等方向的深入研究经历。 学习能力与思维方式： - 具备较强的逻辑思维和问题解决能力，能快速学习新知识并应用到实际工作中。 - 对AI和数据分析充满好奇心，愿意深入研究和探索前沿技术。 3. 沟通与团队合作： - 具备良好的沟通能力和团队协作精神，能够清晰表达技术概念并与业务团队有效对接。 - 有较强的抗压能力，能在多任务环境下高效工作。 Job Responsibilit来自BOSS直聘ies: 1. Data Analysis & Modeling: Participate in company data analysis projects, including data cleaning, data insights and data modeling. 2. AI Application Research: Learn and explore AI applications in business s来自BOSS直聘cenarios, such as machine learning, natural language processing (NLP), and computer vision, to support intelligent product development and optimization. 3. Data Visualization & Reporting: Utilize tools such as Power BI, Tableau, Quick BI or Python to create data visualization reports and provide insights for bkanzhunusiness decision-making. 4. Data Pipeline & Management来自BOSS直聘: Assist in building and optimizing data warehouses, data lakes, and ETL processes to improve data quality and usability. 5. Cross-Department Collaboration: Work closely with business and IT teams to understand business requirements and provide data-driven solutions. 6. Technical Learning & Innovation: Stay updated with the latest advancements in AI and data analytics, participate in internal knowledge-sharing sessions, and continuously improve skills. Qualification: 1. Educational Background: Bachelor’s degree or above in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or related fields. AI and data analytics project experience during university studies is preferred. 2. Technical Skills: - Solid foundation in data analysis, proficient in Python (Pandas, NumPy, Scikit-learn) or R. - Understanding of fundamental machine learning concepts with hands-on experience in classification, regression, and clustering. - Proficient in SQL for data querying and basic data management. Familiarity with data visualization tools such as Power BI, Tableau, or Quick BI is preferred. - Experience with AI tools and dat来自BOSS直聘a processing on cloud platforms (AWS, Azure, Ali). - In-depth research experience in NLP, computer vision, or reinforcement learning is a plus. 3. Learning Ability & Problem-Solving Skills: - Strong analytical and problem-solving skills, with the ability to quickly learn new technologies and apply them effectively. - Passion for AI and data analytics, with a strong curiosity and willingness to explore cutting-edge technologies. 4. Communication & Teamwork: - Strong communication and teamwork skills, with the ability to clearly articulate technical concepts and collaborate effectively with business teams. - Ability to work under pressure and manage multiple tasks efficiently.