数据科学家 - 时间序列和预测
Data Scientist - Time series and forecasting
数据科学家 - 时间序列、预测
印度，远程
通过多样性、公平性和包容性实现增长。作为一家有道德的企业，我们做正确的事——包括确保平等的机会，并为每个人营造一个安全、尊重的工作环境。我们相信多样性推动个人和业务的成长。我们致力于打造一个包容的社区，无论背景、身份或其他个人特征，所有员工都能蓬勃发展。
职责：
§ 处理端到端的分类和预测用例：问题定义、数据准备、模型开发、评估和基本部署支持（例如需求预测、流失预测）
§ 探索和清理数据；进行探索性数据分析以理解数据并标记数据质量问题
§ 为表格和时间序列数据构建特征
§ 训练、验证和调优标准的机器学习模型（例如逻辑回归、基于树的模型、梯度提升、简单的神经网络、经典的时间序列模型）
§ 使用对业务KPI有影响的适当指标评估模型
§ 构建清晰的可视化图表和简洁的报告，向业务决策者展示模型结果和洞察
§ 与数据工程师和AI工程师合作，将模型投入生产（批量评分、API、模型监控、仪表盘）
§ 以可复现的方式记录数据来源、建模假设和实验结果（笔记本、报告、维基）
我们寻找的人：
必须具备：
§ 具备多种经典数据科学和机器学习（ML）模型的商业经验（例如决策树、基于集成的树模型、线性回归等）
§ 熟悉客户分析概念或高级预测方法
§ 在支持业务的分析角色中进行模型超参数调优将是一个加分项
§ 熟练使用Python，具备基本的SQL操作知识
§ 熟悉特定的数据科学/机器学习库
§ 在其中一个云计算平台（Databricks或GCP或Azure）上有实际经验
加分项：
§ 理解因果机器学习
§ 具备处理大数据和分布式环境的经验将是一个加分项
§ 在预测领域有多个成功项目的商业经验将是一个大加分项
§ 具备Python中的面向对象编程经验
§ 具备MLOps经验
§ 熟悉其他语言如R、Scala将是一个加分项
通用要求：
§ 基本的计算机编程技能和对编程概念的熟悉
§ 强烈的商业意识
§ 具备深度学习、强化学习的经验
查看英文原文
Data Scientist - Time series, Forecasting
India, Remote
Growth through diversity, equity, and inclusion. As an ethical business, we do what is right — including ensuring equal opportunities and fostering a safe, respectful workplace for each of us. We believe diversity fuels both personal and business growth. We're committed to building an inclusive community where all our people thrive regardless of their backgrounds, identities, or other personal characteristics.
Tasks/ Responsibilities:
§Work on end‑to‑end classification and forecasting use cases: problem framing, data preparation, model development, evaluation and basic deployment support (e.g. demand forecasting, churn prediction)
§Explore and clean data; perform EDA to understand data and flag data quality issues.
§Engineer features for tabular and time‑series data.
§Train, validate, and tune standard ML models (e.g. logistic regression, tree‑based models, gradient boosting, simple neural nets, classical time‑series models).
§Evaluate models with appropriate metrics that have impact on business KPIs.
§Build clear visualizations and concise reports to present model results and insights to business stakeholders.
§Collaborate with data engineers and AI engineers to bring models intoproduction (batch scoring, APIs, models monitoring, dashboards).
§Document data sources, modeling assumptions, and experiment results in a reproducible way (notebooks, reports, wikis).
What We're Looking For:
Must Have:
§Commercial experience with various classical data science and Machine Learning (ML) models (e.g. decision trees, ensemble-based tree models, linear regression etc.)
§Knowledge of customer analytics concepts or advanced forecasting
§Model hyperparameter tuning in an analytical role supporting business will be a plus
§Fluency in Python, basic working knowledge of SQL
§Knowledge of specific DS/ML libraries
§Solid experience in one of the cloud computing platforms (Databricks or GCP or Azure)
Nice to Have:
§Understanding of Causal machine learning
§Experience in working with big data and distributed environments would be a plus
§Commercial experience proven by multiple successful projects in the areas of forecasting would be a big plus
§Experience with OOP in Python
§Experience with MLOps
§Familiarity with other languages R, Scala would be a plus
General:
§Basic computer programming skills and familiarity with programming concepts
§Strong business acumen
§Experience with deep learning, reinforcement learning or other advanced modeling concepts in classical Data Science problems
Missing one or two of these qualifications? We still want to hear from you! If you bring a positive mindset, we'll provide an environment where you feel valued and empowered to learn and grow.
We offer:
Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites.
“Office as an option” model. You can choose to work remotely or in the office, depending on your location.
Flexibility regarding working hours and your preferred form of contract.
Comprehensive online onboarding program with a “Buddy” from day 1.
Cooperation with top-tier engineers and experts.
Unlimited access to the Udemylearning platform from day 1.
Certificate training programs. Lingarians earn 500+ technology certificates yearly.
Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly.
Internal Gallup Certified Strengths Coach to support your growth.
Grow as we grow as a company. 76% of our managers are internal promotions.
A diverse, inclusive, and values-driven community.
Autonomy to choose the way you work. We trust your ideas.
Create our community together. Refer your friends to receive bonuses.
Activities to support your well-being and health.
Plenty of opportunities to donate to charities and support the environment.
Modern office equipment. Purchased for you or available to borrow, depending on your location.
Originally posted on Himalayas