Data Science Advisor-Marketing

RC712281 Data Science Advisor-Marketing (Open) Data Science Advisor-Marketing Job Description: ? Under limited supervision provides expertise and leadership at the enterprise level related to vast quantities of data, enterprise analytics, statistical modeling, and artificial intelligence (AI)/machine learning (ML) initiatives. ? Uses expert knowledge of data on customers, consumers, economy, external demand drivers, market, and competition (structured and unstructured) and internal business processes to develop analytical solutions to relatively less well-defined and highly complex business problems. ? Creates and executes solutions from initial concept to fully tested production and communicates results to a broad range of audiences. ? Provides thought leadership and leads cross-functional teams in advanced descriptive, diagnostic, predictive and prescriptive modeling, advanced statistical analysis, and other quantitative analysis of complex business situations. ? Makes advanced... use of current and emerging technologies to evaluate trends and develop actionable insights and recommendations to business partners and management. ? Makes advanced use of data, statistical and quantitative analysis, explanatory and high-complexity predictive modeling, and fact-based management to drive decision-making. ? Leads cross functional projects and programs, formally preparing and presenting to management. ? Provides consultation to management on a regular basis. ? Routinely works on multiple complex assignments concurrently. ? Mentors less senior staff. Minimum Qualifications: ? Master's degree in data science, analytics, business, mathematics, economics, computer science or other quantitative fields such as engineering/operations research. ? Three (3) years work experience in data science, analytics, business, mathematics, economics, computer science, or other quantitative fields such as engineering/operations research, in an analytical, quantitative, or technical role. ? Two (2) years of experience or coursework with the following skills (skills can be gained concurrently with education): computer-aided decision support (utilize computer programs or packages to analyze data and support business decisions), or any analytical/modeling language (e.g. Python, R, SAS, or SQL), and data visualization tools like Tableau, PowerBI, Spotfire, etc. ? Strong problem solving, analytical, and communication skills. ? Directly related advanced degrees may offset experience requirements. Master's degree in in Data Science, Analytics, Business, Mathematics, Economics, Computer Science or other quantitative fields such as engineering/operations research plus 3 years of experience in the job offered or 3 years of experience in data science, analytics, business, mathematics, economics, computer science, or other quantitative fields such as engineering/operations research, in an analytical, quantitative, or technical role. The employer will alternatively accept a PhD in Data Science, Analytics, Business, Mathematics, Economics, Computer Science or other quantitative fields such as engineering/operations research in lieu of a Master's degree plus 3 years of experience. The employer will alternatively accept a Bachelor's degree in Data Science, Analytics, Business, Mathematics, Economics, Computer Science or other quantitative fields such as engineering/operations research plus 5 years of experience in the job offered or 5 years of experience in data science, analytics, business, mathematics, economics, computer science, or other quantitative fields such as engineering/operations research, in an analytical, quantitative, or technical role in lieu of a Master's degree plus 3 years of experience. The position requires experience with: Two (2) years of experience or coursework with the following skills (skills can be gained concurrently with education): computer-aided decision support (utilize computer programs or packages to analyze data and support business decisions), or any analytical/modeling language (e.g. Python, R, SAS, or SQL), and data visualization tools like Tableau, PowerBI, Spotfire, etc.; strong problem solving, analytical, and communication skills; working on Microsoft Azure platform; and Econometric modeling method. Directly related advanced degrees may offset experience requirements. Position can telecommute from home from any location in the U.S. Multiple positions available. Primary Location Memphis, Tennessee Job Details Full time FXS: Data Scientists - Marketing FedEx Express is an EEO/AA employer and prohibits discrimination and harassment against any applicant or employee on the basis of race, color, religion, national origin, citizenship, genetic information, age (except for bona fide occupational qualifications), sex, pregnancy (including childbirth or a related medical condition), disability, sexual orientation, gender identity, gender expression, marital status, military leave or service, status as a disabled veteran or other covered veteran status, participation in EEO protected activity, any other status protected by federal, state, or local law, or association with a person on the basis of one or more of the foregoing. FedEx Express is an AA/EEO/Veterans/Disabled Employer. If you are applying in Philadelphia, PA, you can click here to learn about Philadelphia's fair chance hiring law. Pursuant to the San Francisco Fair Chance Ordinance FedEx Express will consider for employment qualified applicants with arrest and conviction records. NEW YORK CORRECTION LAW ARTICLE 23-A LICENSURE AND EMPLOYMENT OF PERSONS PREVIOUSLY CONVICTED OF ONE OR MORE CRIMINAL OFFENSES Section 750. Definitions. 751. Applicability. 752. Unfair discrimination against persons previously convicted of one or more criminal offenses prohibited. 753. Factors to be considered concerning a previous criminal conviction; presumption. 754. Written statement upon denial of license or employment. 755. Enforcement. 750. Definitions. For the purposes of this article, the following terms shall have the following meanings: (1) 'Public agency' means the state or any local subdivision thereof, or any state or local department, agency, board or commission. (2) 'Private employer' means any person, company, corporation, labor organization or association which employs ten or more persons. (3) 'Direct relationship' means that the nature of criminal conduct for which the person was convicted has a direct bearing on his fitness or ability to perform one or more of the duties or responsibilities necessarily related to the license, opportunity, or job in question. (4) 'License' means any certificate, license, permit or grant of permission required by the laws of this state, its political subdivisions or instrumentalities as a condition for the lawful practice of any occupation, employment, trade, vocation, business, or profession. Provided, however, that 'license' shall not, for the purposes of this article, include any license or permit to own, possess, carry, or fire any explosive, pistol, handgun, rifle, shotgun, or other firearm. (5) 'Employment' means any occupation, vocation or employment, or any form of vocational or educational training. Provided, however, that 'employment' shall not, for the purposes of this article, include membership in any law enforcement agency. 751. Applicability. The provisions of this article shall apply to any application by any person for a license or employment at any public or private employer, who has previously been convicted of one or more criminal offenses in this state or in any other jurisdiction, and to any license or employment held by any person whose conviction of one or more criminal offenses in this state or in any other jurisdiction preceded such employment or granting of a license, except where a mandatory forfeiture, disability or bar to employment is imposed by law, and has not been removed by an executive pardon, certificate of relief from disabilities or certificate of good conduct. Nothing in this article shall be construed to affect any right an employer may have with respect to an intentional misrepresentation in connection with an application for employment made by a prospective employee or previously made by a current employee. 752. Unfair discrimination against persons previously convicted of one or more criminal offenses prohibited. No application for any license or employment, and no employment or license held by an individual, to which the provisions of this article are applicable, shall be denied or acted upon adversely by reason of the individual's having been previously convicted of one or more criminal offenses, or by reason of a finding of lack of 'good moral character' when such finding is based upon the fact that the individual has previously been convicted of one or more criminal offenses, unless: (1) There is a direct relationship between one or more of the previous criminal offenses and the specific license or employment sought or held by the individual; or (2) the issuance or continuation of the license or the granting or continuation of the employment would involve an unreasonable risk to property or to the safety or welfare of specific individuals or the general public. 753. Factors to be considered concerning a previous criminal conviction; presumption. 1. In making a determination pursuant to section seven hundred fifty-two of this chapter, the public agency or private employer shall consider the following factors: (a) The public policy of this state, as expressed in this act, to encourage the licensure and employment of persons previously convicted of one or more criminal offenses. (b) The specific duties and responsibilities necessarily related to the license or employment sought or held by the person. (c) The bearing, if any, the criminal offense or offenses for which the person was previously convicted will have on his fitness or ability to perform one or more such duties or responsibilities. (d) The time which has elapsed since the occurrence of the criminal offense or offenses. (e) The age of the person at the time of occurrence of the criminal offense or offenses. (f) The seriousness of the offense or offenses. (g) Any information produced by the person, or produced on his behalf, in regard to his rehabilitation and good conduct. (h) The legitimate interest of the public agency or private employer in protecting property, and the safety and welfare of specific individuals or the general public. 2. In making a determination pursuant to section seven hundred fifty-two of this chapter, the public agency or private employer shall also give consideration to a certificate of relief from disabilities or a certificate of good conduct issued to the applicant, which certificate shall create a presumption of rehabilitation in regard to the offense or offenses specified therein. 754. Written statement upon denial of license or employment. At the request of any person previously convicted of one or more criminal offenses who has been denied a license or employment, a public agency or private employer shall provide, within thirty days of a request, a written statement setting forth the reasons for such denial.

755. Enforcement. 1. In relation to actions by public agencies, the provisions of this article shall be enforceable by a proceeding brought pursuant to article seventy-eight of the civil practice law and rules.

2. In relation to actions by private employers, the provisions of this article shall be enforceable by the division of human rights pursuant to the powers and procedures set forth in article fifteen of the executive law, and, concurrently, by the New York city commission on human rights.

Posting closes at midnight local time at the primary location of posted position on:
04-27-2024

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