出海雷达

高级数据科学家 (BlackLocus 部门)

Senior Data Scientist (BlackLocus division)

其他限定地区(需当地身份)
公司HOME DEPOT U.S.A., INC.
薪资未公开
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间17 天前
数据来源Himalayas
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

在The Home Depot工作,你可以做真实的自己,同时成为更大事业的一部分。
The Home Depot可以在以下州提供该职位的远程工作:
AK, AZ, CA, GA, HI, ID, IL, KS, KY, ME, MA, MI, MN, MT, NE, NV, NH, NJ, NM, NY, ND, OH, OR, RI, SD, TX, UT, VT, WA, WV, WI, WY
职位目的:
高级数据科学家将领导团队开发分析基础设施和计算能力,以支持决策并提升组织盈利能力。通过与业务领导者和软件工程师合作,利用公司和行业数据,数据科学家将开发预测系统和算法,以识别趋势并提供业务解决方案。高级数据科学家是定价团队的重要成员。数据科学家团队的主要重点是通过对大规模数据集进行数据分析和预测建模,使用统计学和机器学习技术提取有意义的业务信息。
主要职责:

  • 25% 设计和开发算法和模型,用于大规模数据集以生成业务洞察。
  • 25% 指导工作优先级,确保工作成果质量,并培养直接下属的能力。
  • 20% 建立可扩展、高效的流程,用于大规模数据分析、模型开发和模型实施。
  • 20% 创造性地解决问题,提供战略见解。利用数据提出有说服力的商业案例,优化价格点。
  • 10% 了解数据科学和机器学习的最新进展,识别应用学习成果的机会。
  • 直接经理/直接下属:
  • 该职位汇报给工程BL实验室总监
  • 直接下属人数 = 1
  • 出差要求:
  • 通常需要出差的时间少于10%。
  • 身体要求:
  • 大部分时间都是坐在舒适的位置,有频繁的走动机会。偶尔可能需要移动或搬运轻物。
  • 工作环境:
  • 位于舒适的室内区域。任何不愉快的条件都很少见且不会令人反感。
  • 最低资格要求:
  • 必须年满十八岁。
  • 必须合法在美国工作。
  • 优先资格要求:
  • 具有数据挖掘、数据分析和预测建模经验
  • 具有商业智能和数据分析工作经验
  • 有实际应用经验
查看英文原文

With a career at The Home Depot, you can be yourself and also be part of something bigger.
The Home Depot is able to offer virtual employment of this position in the following states:
AK, AZ, CA, GA, HI, ID, IL, KS, KY, ME, MA, MI, MN, MT, NE, NV, NH, NJ, NM, NY, ND, OH, OR, RI, SD, TX, UT, VT, WA, WV, WI, WY
Position Purpose:
The Sr. Data Scientist will lead a team to develop the analytical infrastructure and computational capabilities that drive decision making and maximize the organizations profitability. By partnering with business leaders and software engineers to leverage company and industry data, the data scientist will develop predictive systems and algorithms for identifying trends and providing business solutions. The Sr. Data Scientist is an integral part of the Pricing Team. The data scientists team's primary focus is driving data analytics and predictive modeling on large datasets to extract meaningful business information using statistics and machine learning techniques.
Key Responsibilities:

  • 25% Design and develop algorithms and models to use against large datasets to create business insights.
  • 25% Provide direction on prioritization of work, ensure quality of work outputs, and develop the competencies of direct reports.
  • 20% Establishing scalable, efficient processes for large scale data analyses, model development and model implementation
  • 20% Solve problems creatively with strategic insights. Leverage data to present a compelling business case to optimize price points.
  • 10% Remain knowledgeable on advancements in data science and machine learning. Identify opportunities to apply learnings.

Direct Manager/Direct Reports:

  • Position reports to Director Engineering BL Lab
  • Number of direct reports = 1

Travel Requirements:
· Typically requires overnight travel less than 10% of the time.
Physical Requirements:
· Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
Working Conditions:
· Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
Minimum Qualifications:

  • Must be eighteen years of age or older.
  • Must be legally permitted to work in the United States.

Preferred Qualifications:

  • Experience in data mining, data analysis and predictive modeling
  • Previous work experience in business intelligence and data analytics
  • Proven experience utilizing statistical techniques to identify key insights from data to solve business problems
  • PhD in Computer Science, Math or related quantitative field.
  • Expert knowledge in manipulating massive datasets, statistical analysis and predictive modeling.

Minimum Education:
· The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
Preferred Education:
· No additional education
Minimum Years of Work Experience:
· 7
Preferred Years of Work Experience:
· No additional years of experience
Minimum Leadership Experience:
· None
Preferred Leadership Experience:
· None
Certifications:
· None
Competencies:

  • Ability to build scalable systems that analyze huge data sets and make actionable recommendations
  • Strong communication and data presentation skills
  • Ability to quickly adapt to new technologies, tools and techniques
  • Flexible and responsive; able to perform in a fast paced, dynamic, decision making environment and meet aggressive timelines

Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus. For a full list of the various benefits The Home Depot offers, visit .
Originally posted on Himalayas

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