机器学习架构师
ML Architect
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ML架构师职位描述
主要职责：与相关方合作，识别、规划并执行高级分析和数据科学项目；设计数据建模流程，创建算法和预测模型；分享能支持和推动业务决策的洞察。
核心职责和任务
- 在生产环境中构建、原型设计并部署机器学习模型。
- 与产品、技术和其他相关方合作，识别和规划数据科学项目。
- 向技术和非技术相关方沟通建模挑战、发现和结果。
- 设计并实现端到端的ETL（抽取、转换、加载）数据管道，整合来自多个数据源的数据。
- 探索新的内部和外部数据源，并评估其商业价值。
- 指导团队成员，并在跨职能讨论中担任主题专家。
其他职责和任务
- 执行分配的其他任务。
- 按需出差。
资格要求
教育与资质
拥有统计学、数学、计算机科学、数据科学、经济学或相关定量领域的硕士或博士学位，来自认可的大学优先。
经验
相关经验十年或教育与经验的等效组合，包括三年的预测建模、数据科学和分析经验，具备使用数据可视化工具和库以及数据探索、数据清洗和特征工程的扎实背景。有自然语言处理和医疗健康数据经验者优先。
技能与知识
- 精通用Python或R编写代码并进行可重复性文档编写
- 具有审查他人模型和代码的强知识
- 能够使用数据可视化工具和库
- 强大的数据探索、数据清洗和特征工程技能
- 了解应用
查看英文原文
By joining Sedgwick, you'll be part of something truly meaningful. It’s what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there’s no limit to what you can achieve.
Newsweek Recognizes Sedgwick as America’s Greatest Workplaces National Top Companies
Certified as a Great Place to Work®
Fortune Best Workplaces in Financial Services & Insurance
ML ArchitectJob Description
PRIMARY PURPOSE: To partner with stakeholders to identify, scope, and execute advanced analytics and data science projects; to design data modeling processes, create algorithms, and predictive models; and to share insights that inform and enable business decisions.
ESSENTIAL FUNCTIONS and RESPONSIBILITIES
- Builds, prototypes, and deploys machine learning models in production environments.
- Collaborates with product, technology, and other stakeholders to identify and scope data science projects.
- Communicates modeling challenges, findings, and outcomes to technical and non-technical stakeholders.
- Designs and implements end-to-end ETL (extract, transform, load) data pipelines integrating data from multiple data sources.
- Explores new internal and external data sources and assesses their commercial benefit.
- Mentors team members and serves as a subject matter expert in cross-functional discussions.
ADDITIONAL FUNCTIONS and RESPONSIBILITIES
- Performs other duties as assigned.
- Travels as required.
QUALIFICATIONS
Education & Licensing
Master’s degree or Ph.D. with major in statistics, mathematics, computer science, data science, economics, or related quantitative field from an accredited college or university preferred.
Experience
Ten (10) years of related experience or equivalent combination of education and experience to include three (3) years of predictive modeling, data science, and analysis experience with solid background in the using data visualization tools and libraries and data exploration, data wrangling, and feature engineering. Experience with natural language processing and healthcare data preferred.
Skills & Knowledge
- Proficiency writing code in Python or R and documenting for reproducibility
- Strong knowledge of reviewing other’s models and code
- Ability to use data visualization tools and libraries
- Strong data exploration, data wrangling and feature engineering skills
- Knowledge of application of supervised/unsupervised ML techniques
- Thorough knowledge of SQL to query relational databases
- Excellent oral and written communication skills, including presentation skills
- PC literate, including Microsoft Office products
- Analytical and interpretive skills
- Strong organizational skills
- Ability to create and complete comprehensive, accurate and constructive written reports
- Ability to work in a team environment
- Ability to meet or exceed Performance Competencies
WORK ENVIRONMENT
When applicable and appropriate, consideration will be given to reasonable accommodations.
Mental: Clear and conceptual thinking ability; excellent judgment, troubleshooting, problem solving, analysis, and discretion; ability to handle work-related stress; ability to handle multiple priorities simultaneously; and ability to meet deadlines
Physical: Computer keyboarding, travel as required
Auditory/Visual: Hearing, vision and talking
As required by law, Sedgwick provides a reasonable range of compensation for roles that may be hired in jurisdictions requiring pay transparency in job postings. Actual compensation is influenced by a wide range of factors including but not limited to skill set, level of experience, and cost of specific location. For the jurisdiction noted in this job posting only, the range of starting pay for this role is ($175,000 - $220,000). A comprehensive benefits package is offered including but not limited to, medical, dental, vision, 401k and matching, PTO, disability and life insurance, employee assistance, flexible spending or health savings account, and other additional voluntary benefits.
The statements contained in this document are intended to describe the general nature and level of work being performed by a colleague assigned to this description. They are not intended to constitute a comprehensive list of functions, duties, or local variances. Management retains the discretion to add or to change the duties of the position at any time.
Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace.
If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.
Originally posted on Himalayas