职位&公司对比

职位详情

• 北京
• 5-10年
• 本科

• 深度学习
• 机器学习
• 大模型算法
• 知识图谱
• 文本生成
• 推荐算法
• 搜索算法
• 摘要生成
• 大数据处理工具(Spark/Hadoop/Hive)
• SQL
• Python

Lead Data Scientist About the Role The Data Scientist role conduct experiments on large datasets to evaluate the feasibility, results, and performance of NL来自BOSS直聘P& LLM (Large Language Model). This DS make sound engineering decisions and improve software development practices with an eye for performance and reliability. Responsibilities: •Data Analysis and Modelling: Perform advanced data analysis, modelling, and machine learning to develop predictive and prescriptive models that drive business outcomes. • Data Collection and Preparation: Collect, 来自BOSS直聘clean, a nd preprocess large datasets, ensuring data quality and reliability. • Machine Learning and Al: Develop and implement machine learning algorithms and Al solutions to solve complex business problems. • Data Visualization: Create informative and compelling data visualizations to communicate results an d insights to stakeholders effectively. • Collaboration: Collaborate with cross-functional teams, including data engineers, business analysts, and domain experts, to identify opportunities and address business challenges. • Research and Innovation: Stay up-to-date with the latest trends and techniques in data science and contribute to the develop来自BOSS直聘ment of innovative solutions. • Model Deployment: Assist in the deployment of machine learning models into production environments. • Documentation: Maintain comprehensive documentation of projects, models, and code for knowledge sharing and reproducibility. Requirements: • Maskanzhunters or Ph.D. in Data Science, Computer Science, Statistics, or a related field. • Proven experience (5-8 years) working in data science, machine learning, or Al, with a track record of delivering impactful projects. • Proficiency in programming languages such as Python, as well as relevant data science libraries (e.g., scikit-lbossearn, TensorFlow, PyTorch). • Experience with generative Al models and techniques (e.g., LLMs, GANs) for content generation. • Expertise in prompt engineering for fine-tuning |anguage models like GP1-3.5 or similar models. • Strong knowledge of statistical analysis, machine learning algorithms, and data manipulation techniques. • Exceptinal problem-solving skills and the ability to work independently and as part of a team. • Excellent communication skills, including the ability to convey complex technical concepts to non-technical stakeholders. Work in a way that works for you We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in an d work when you are the most productive