高级数据科学家 - 需求计划与预测
Senior Data Scientist - Demand Planning & Forecasting
Tiger Analytics 正在寻找有经验的数据科学家加入我们快速发展的高级分析咨询公司。我们的顾问在数据科学、机器学习和人工智能方面具有深厚的专业知识。我们是多家财富 500 强公司的可信赖分析合作伙伴，帮助他们从数据中创造商业价值。我们的商业价值和领导力已获得包括 Forrester 和 Gartner 在内的多家市场研究机构的认可。随着我们继续打造全球最佳的分析咨询团队，我们正在寻找顶尖人才。
我们正在寻找一位高级数据科学家——预测方向，加入支持领先零售、快消品和供应链客户的高级分析团队。在此职位上，您将设计、开发并部署推动需求计划、库存优化、补货、物流、销售预测和供应链运营中关键业务决策的预测解决方案。
您将与业务利益相关者、数据工程师、供应链计划人员和分析负责人紧密合作，构建可扩展的预测模型，以实现可衡量的业务影响。理想的候选人应具备强大的统计预测专业知识，以及实际的机器学习经验，并能够将复杂的分析结果转化为可操作的业务建议。
主要职责
- 设计、开发和部署时间序列预测模型，包括 ARIMA、SARIMA 和 ETS
- 使用 GBM、Random Forest、XGBoost 和 LightGBM 构建基于机器学习的预测模型
- 在产品、地区和渠道层面开发分层和多级预测解决方案
- 使用 SQL 执行大规模数据提取、转换和分析
- 与供应链、商品管理、计划和业务团队合作，了解预测需求
- 将业务问题转化为分析解决方案
- 向高级客户利益相关者展示模型洞察和建议
- 与客户开展工作坊和预测策略讨论
- 在云环境中实施和部署模型
- 与业务利益相关者合作，将需求计划要求转化为可扩展的分析解决方案
要求
- 10 年以上应用数据科学或高级分析经验
- 5 年以上在需求计划、需求预测或销售预测方面的实际经验
- 在快消品（CPG）、快速消费品（FMCG）、零售或类似行业有较强的专业经验
查看英文原文
Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
We are seeking a Senior Data Scientist – Forecasting to join our advanced analytics team supporting leading Retail, CPG, and Supply Chain clients. In this role, you will design, develop, and deploy forecasting solutions that drive critical business decisions across demand planning, inventory optimization, replenishment, logistics, sales forecasting, and supply chain operations.
You will work closely with business stakeholders, data engineers, supply chain planners, and analytics leaders to build scalable forecasting models that deliver measurable business impact. The ideal candidate combines strong statistical forecasting expertise with hands-on machine learning experience and the ability to translate complex analytical findings into actionable business recommendations.
Key Responsibilities
- Design, develop, and deploy time-series forecasting models including ARIMA, SARIMA, and ETS
- Build machine-learning-based forecasting models using GBM, Random Forest, XGBoost, and LightGBM
- Develop hierarchical and multi-level forecasting solutions across products, regions, and channels
- Perform large-scale data extraction, transformation, and analysis using SQL
- Partner with supply chain, merchandising, planning, and business teams to understand forecasting requirements.
- Translate business problems into analytical solutions.
- Present model insights and recommendations to senior client stakeholders.
- Lead workshops and forecasting strategy discussions with clients.
- Implement and operationalize models in cloud environments
- Collaborate with business stakeholders to translate demand planning requirements into scalable analytics solutions
Requirements
- 10+ years of experience in applied data science or advanced analytics
- 5+ years of hands-on experience in demand planning, demand forecasting, or sales forecasting
- Strong domain experience in CPG, FMCG, retail, or similar industries
- Advanced proficiency in Python (pandas, NumPy, scikit-learn, statsmodels)
- Strong SQL skills for large-scale data processing
- Proven experience deploying models in cloud environments (Azure preferred)
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.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
Originally posted on Himalayas