高级数据科学家
Data Scientist Senior
🚀 加入我们的远程数据产品和机器学习开发初创公司! 🚀
Muttdata 是一家致力于使用前沿大数据和机器学习技术打造创新系统的动态初创公司。
我们正在寻找一名数据科学家,帮助我们将专业知识提升到新的高度。如果你也像我们一样是个数据狂热者,我们很期待与你联系! 🐶🚀
🚀 我们的工作
- 利用我们的专长,为需求预测和预算预测构建现代机器学习系统。
- 开发可扩展的数据基础设施,为每个客户提供定制的高层决策支持。
- 提供全面的数据工程和定制AI解决方案,优化基于云的系统。
- 使用生成式AI,帮助电商和零售平台更快地创建更高质量的广告。
- 构建深度学习模型,增强视觉识别和自动化,适用于多个行业,提高产品分类、质量控制和信息检索。
- 开发推荐模型,为电商、流媒体和数字平台个性化用户体验,提升参与度和转化率。
🌟 我们的合作伙伴
- 亚马逊网络服务
- Astronomer
- Databricks
🌟 我们的价值观
- 📊 我们是数据狂人
- 🤗 我们是开放协作的团队成员
- 🚀 我们有主人翁精神
- 🌟 我们保持积极心态
🔍 想了解我们在做什么吗?查看我们的案例研究,并阅读我们的博客文章,了解更多关于我们的文化和我们正在进行的令人兴奋的项目! 🚀
职责 🤓
- 设计并实现用于业务需求的机器学习模型,如预测、推荐系统、定价和流失分析。
- 进行探索性数据分析,以识别数据中的趋势、异常和关系。
- 与相关方合作,定义问题、成功指标和数据需求。
- 构建可扩展且易于维护的机器学习工作流程,并确保模型顺利部署。
- 监控模型性能并在需要时重新训练,以确保可靠性。
- 清晰地向技术和非技术人员传达洞察。
- 与产品、工程和业务团队紧密合作,集成模型。
- 指导初级团队成员,推广数据科学的最佳实践。
- 参与内部测试、可复现性和文档标准的制定。
- 跟踪机器学习和人工智能的最新进展,为团队带来新想法。
所需技能 💻
- 精通 Python 用于数据分析和机器学习建模。
- 具有常见 ML 库的实际操作经验
查看英文原文
🚀 Join Our Data Products and Machine Learning Development Remote Startup! 🚀
Muttdata is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies.
We’re looking for a Data Scientist to help take our expertise to the next level. If you consider yourself a data nerd like us, we’d love to connect! 🐶🚀
🚀 What We Do
- Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
- Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.
- Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.
- Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.
- Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.
- Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.
🌟 Our Partnerships
- Amazon Web Services
- Astronomer
- Databricks
🌟 Our Values
- 📊 We are Data Nerds
- 🤗 We are Open Team Players
- 🚀 We Take Ownership
- 🌟 We Have a Positive Mindset
🔍 Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on! 🚀
Responsibilities 🤓
- Design and implement ML models for business needs like forecasting, recommendation systems, pricing, and churn.
- Perform EDA to identify trends, anomalies, and relationships in the data.
- Collaborate with stakeholders to define problems, success metrics, and data needs.
- Build scalable and maintainable ML workflows and ensure smooth model deployment.
- Monitor model performance and retrain when needed to ensure reliability.
- Communicate insights clearly to technical and non-technical audiences.
- Work closely with product, engineering, and business teams to integrate models.
- Mentor junior team members and promote data science best practices.
- Contribute to internal standards on testing, reproducibility, and documentation.
- Stay current with advances in ML and AI to bring new ideas to the team.
Required Skills 💻
- Expert knowledge of Python for data analysis and machine learning modeling.
- Hands-on experience with common ML libraries and frameworks.
- Strong understanding of machine learning and statistical techniques including supervised/unsupervised learning, time series analysis, and A/B testing.
- Experience deploying ML models into production and maintaining them.
- Proficiency in writing clean, reproducible, production-grade code.
- Solid knowledge of SQL and experience working with structured and unstructured data from relational databases and/or data lakes.
- Demonstrated ability to communicate complex technical concepts to business stakeholders clearly and effectively.
- Experience working in cross-functional teams and collaborating with product, engineering, and business units.
- Experience with version control (Git) and agile development practices.
Nice to Have Skills 😉
- Experience with recommendation systems, dynamic pricing algorithms, or customer segmentation techniques.
- Experience working with cloud platforms (AWS, GCP, Azure) and associated data/ML services.
- Knowledge of Docker, Airflow (or similar, e.g: prefect), MLflow or similar tools .
- Familiarity with ML observability and monitoring tools (e.g., Evidently, WhyLabs, Prometheus + Grafana).
- Knowledge of CI/CD pipelines for ML systems.
- Knowledge of Poetry or uv.
🎁 Perks
- 🌍 Remote-first culture – work from anywhere!
- 🚀 In-Company English Lessons.
- 💪 Wellhub or sports club stipend to stay active
- 🚀 AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
- 🍕 Food credits via Pedidos Ya – because great work deserves great food.
- 🎂 Birthday off + an extra vacation week (Mutt Week! 🏖️)
- 🤝 Referral bonuses – help us grow the team & get rewarded!
- ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!
- 👶 Monthly Childcare Reimbursement – Because supporting families matters too