首席数据科学家
Principal Data Scientist
Tiger Analytics 正在探索人工智能和分析技术能为全球组织面临的最严峻问题提供哪些解决方案。我们为多家财富 100 强公司开发基于数据和技术的定制化解决方案。我们在美国、英国、印度和新加坡多个城市设有办公室，并拥有大量远程全球员工。
我们在零售和快消品行业的 AI 和分析咨询领域处于市场领先地位，该领域的收入占我们总收入的 40% 以上。这是我们的增长最快领域，我们正在加强该领域的人员配置。
我们正在寻找一位具备扎实分析能力、深入掌握数据科学方法论并有将算法应用于实际业务挑战的实践经验的高级数据科学家加入我们的团队。
主要职责：
- 从构思到部署领导统计分析和机器学习项目，确保与业务目标一致。
- 根据客户需求开发模型和分析，并基于结果提出可操作的建议。
- 以清晰易懂的方式向技术和非技术利益相关者传达复杂的数据发现。
- 与跨职能团队合作，利用数据洞察力并推动数据驱动文化的建立。
- 指导初级数据科学家，提供数据科学方法的最佳实践指导。
- 跟踪数据科学领域的行业趋势和新兴技术，以推动创新并提升服务产品。
- 管理多个项目和团队，确保按时交付高质量成果。
要求
- 数据科学、统计学、计算机科学或相关领域的硕士或博士学位。
- 8 年以上数据科学、分析或相关领域的工作经验，重点在机器学习方面。
- 精通 Python 和 R 等关键编程语言，以及数据处理和可视化库。
- 具备云平台（如 AWS、Azure）和大数据技术（如 Hadoop、Spark）的经验者优先。
- 对机器学习算法和统计技术有扎实的理解，包括回归、分类、聚类和时间序列分析。
- 出色的问题解决能力，能够批判性思考并制定创新的数据驱动解决方案。
- 优秀的书面和口头沟通能力，能够清晰传达复杂信息。
- 有实际成果证明的能力。
查看英文原文
Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.
We are also market leaders in AI and analytics consulting in the retail & CPG industry, with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.
We are looking for a Principal Data Scientist with a strong blend of analytical skills, deep knowledge of data science methodologies, and practical experience in applying algorithms to real business challenges to join our team.
Key Responsibilities:
- Lead statistical analysis and machine learning projects from conception through deployment, ensuring alignment with business objectives.
- Develop models and analyses tailored to client needs and make actionable recommendations based on results.
- Articulate and present complex data findings in a clear and accessible manner to both technical and non-technical stakeholders.
- Collaborate with cross-functional teams to leverage data insights and foster a data-driven culture.
- Mentor junior data scientists and provide leadership on best practices in data science methodologies.
- Stay updated on industry trends and emerging technologies in data science to drive innovation and enhance service offerings.
- Manage multiple projects and teams, ensuring timely delivery of high-quality results.
Requirements
- Master’s or PhD degree in Data Science, Statistics, Computer Science, or a related field.
- 8+ years of experience in data science, analytics, or a related field, with a strong focus on machine learning.
- Extensive experience with key programming languages such as Python and R, as well as data manipulation and visualization libraries.
- Experience with cloud platforms (e.g., AWS, Azure) and big data technologies (e.g., Hadoop, Spark) is preferred.
- Solid understanding of machine learning algorithms and statistical techniques, including regression, classification, clustering, and time-series analysis.
- Strong problem-solving skills with the ability to think critically and determine innovative data-driven solutions.
- Excellent written and verbal communication skills, with the ability to convey complex information clearly.
- Demonstrated ability to lead projects and work collaboratively within a team environment.
- Experience in handling large datasets and using data visualization tools (e.g., Tableau, Power BI).
- Experience in the Retail or CPG industry is a plus.
Benefits
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Originally posted on Himalayas