出海雷达

Data Scientist, Pricing (Forecasting & Deep Learning)

AI未标注地域
公司HOME DEPOT U.S.A., INC.
薪资$90,000 - $160,000/年
工作地点Georgia
地域资格未标注地域
时区要求日间重叠约 5 小时,基本正常作息
用工类型Full Time
发布时间今天
数据来源Himalayas
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关于本页中文:职位描述由本机离线模型翻译,属机器翻译,供快速判断用;正式沟通与投递请以英文原文为准。官方翻译通道恢复后会自动重译升级。

随着在 Home Depot 的职业生涯,你可以成为自己,同时也能成为更大的一部分.Home Depot 能够提供以下几个州: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 位置目的:数据科学家根据未来预测价格和促销结果进行了价格优化工作。成功的候选人将负责推动商业利能力,提高效率和改善客户体验的领先数据科学举措。作为数据科学家,你将应用先进的分析方法和算法来识别趋势并提供业务解决方案。该角色预计会向非技术观众展示见解和建议,并解释推的解决方案的好处和影响。此外,数据科学家与商业合作伙伴和跨职能团队合作,需要有效的沟通技能,建立关系,并专注于了解所支持的整体业务领域。关键责任:· 55%解决方案开发 - 设计和开发用于大数据集创造商业见解的算法和模型;作为分析项目技术领导者参与大型数据分析项目的团队;可以领导小型项目并独立开展解决方案开发;高效率和质量执行任务;适当地选择,利用和解释先进的分析方法 · 20%沟通结果 - 对技术领导者和非技术领导人以及商业客户/合作伙伴有效地传达见解和建议;以自信的方式提出建议,以便影响推执行;准备有关项目或解决方案取得进展的报告,更新和/或演示;明确传播建议的影响来推动协调和适当实施 · 10%商业协作 - 将商业知识纳入解决方案方法中;有效地与内部客户和跨职能团队建立信任和合作;与专业人员合作

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 Data Scientist works with price optimization based on future forecasted outcomes of price and promotions. The successful candidate will be responsible for leading data science initiatives that drive business profitability, increased efficiencies and improved customer experience. This role assists in the development of the Home Depot advanced analytics infrastructure that informs decision making. Data Scientists are expected to seek out business opportunities to leverage data science as a competitive advantage.
As a Data Scientist, you will apply advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported.
Key Responsibilities:

  • 55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies
  • 20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation
  • 10% Business Collaboration - Incorporate business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals
  • 15% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented

Direct Manager/Direct Reports:

  • This position typically reports to Manager or above
  • This position has 0 Direct Reports

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:

  • Past experience developing forecasting solutions and Deep Learning solutions in a professional environment
  • 3+ years of experience in business intelligence and analytics
  • PhD in a quantitative field preferred (Computer Science, Math, Statistics, etc)
  • Proficient in Python and SQL
  • Mastery utilizing statistical techniques to identify key insights that help solve business problems
  • Demonstrated proficiency in predictive modelling like optimization, forecasting, or recommendation
  • Demonstrated proficiency in predictive modelling, data mining, and data analysis

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:
· 3
Preferred Years of Work Experience:
· No additional years of experience
Minimum Leadership Experience:
· None
Preferred Leadership Experience:
· None
Certifications:
· None
Competencies:

  • Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm
  • Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
  • Collaborates: Building partnerships and working collaboratively with others to meet shared objectives
  • Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
  • Customer Focus: Building strong customer relationships and delivering customer-centric solutions
  • Drives Results: Consistently achieving results, even under tough circumstances
  • Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder
  • Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement
  • Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals
  • Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels

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 .
For California, Colorado, Connecticut, Rhode Island, Nevada, New York City, Ithaca (NY), Westchester County (NY), and Washington residents:
The pay range for this position is between $90,000.00 - $160,000.00Originally posted on Himalayas

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