Job Description

DUTIES:

• Work with our partners across organization to create scalable and production-grade Al/ML products.

• Work with scrum team of data scientists, business analysts, data engineers, and subject matter experts to design and create machine learning models and retraining systems.

• Work with team to put model prototype in production by making scalable and efficient models (parallelizing, using appropriate libraries, adding basic efficiencies from the code/data/architecture etc.).

• Create model governance architecture for retention (upon drift).

• Create architecture/framework for performance evaluation and feedback loop.

• Select analytical techniques and model methods best to solve business problems. Enable delivery of data-analytics projects and understand complexity/dependencies between multiple teams and platforms.

• Communicate intensively with other platform/competencies to comprehend new trends and methodologies within company ecosystem.

• Understand customer/stakeholders business needs/priorities and help build solutions that support our business goals.

• Establish and manage close relationship with customers/stakeholders.

• Oversee DS market development to explore new ways of delivering analytics solutions to increase tvalue/contribution.

• Build "community of practice” leveraging experience from delivering complex analytics projects.

• Develop production-grade models and deliver solutions with high quality standards, timeliness, compliance and excellent user experience.

• Contribute to innovative experiments, specifically to idea generation, idea incubation and/or experimentation, identifying tangible and measurable criteria. Up to 25% domestic/international travel required.

• Telecommuting permitted.

REQUIREMENTS:

• Bachelor's degree or equivalent in Computer Science, Engineering, Mathematics, or a related quantitative field and 2 years of experience in the position offered or related.

• Must have 2 years of experience with all of the following: applied Machine Learning (ML) in cloud environment such as AWS; writing production-grade ML code; coding Python, R, Scala, Java or any other OOP language; ETL tools for data flow management and pre-processing using SQL or shell scripting; utilizing TensorFlow or Torch libraries; working with software intelligence platform such as SageMaker, Databricks, or MLfiowSpark; working within distributed computing environment; using cloud-based SQL & noSQL databases (Redshift, S3, BQ, Athena, and Mongo) to access and analyze data; project management and data analytics project delivery; and translating business processes into user stories and detailed business requirements.

Employees working in roles that the Company determines require routine collaboration with external stakeholders, such as customer-facing commercial, or research-based roles, will be expected to comply not only with Company policy but also with policies established by such external stakeholders (for example, a requirement to be vaccinated against COVID-19 in order to access a facility or meet with stakeholders). Please understand that, as permitted by applicable law, if you have not been vaccinated against COVID-19 and an essential function of your job is to call on external stakeholders who require vaccination to enter their premises or engage in face-to-face meetings, then your employment may pose an undue burden to business operations, in which case you may not be offered employment, or your employment could be terminated. Please also note that, where permitted by applicable law, the Company reserves the right to require COVID-19 vaccinations for positions, such as in Global Employee Health, where the Company determines in its discretion that the nature of the role presents an increased risk of disease transmission.

Current Employees apply HERE (https://wd5.myworkday.com/msd/d/inst/1422$1533/rel-task/3001$14.htmld)

Current Contingent Workers apply HERE (https://wd5.myworkday.com/msd/d/task/1422$4020.htmld)

US and Puerto Rico Residents Only:

Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please click here (https://survey.sogosurvey.com/r/aCdfqL) if you need an accommodation during the application or hiring process.

We are an Equal Opportunity Employer, committed to fostering an inclusive and diverse workplace. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status, or other applicable legally protected characteristics. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:

EEOC Know Your Rights (https://www.eeoc.gov/sites/default/files/2022-10/22-088_EEOC_KnowYourRights_10_20.pdf)

EEOC GINA Supplement​

Pay Transparency Nondiscrimination (https://www.dol.gov/sites/dolgov/files/OFCCP/pdf/pay-transp_%20English_formattedESQA508c.pdf)

We are proud to be a company that embraces the value of bringing diverse, talented, and committed people together. The fastest way to breakthrough innovation is when diverse ideas come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another’s thinking and approach problems collectively.

U.S. Hybrid Work Model

Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, generally Tuesday, Wednesday and either Monday or Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence. This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”.

Search Firm Representatives Please Read Carefully

Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.

Employee Status:

Regular

Relocation:

No relocation

VISA Sponsorship:

No

Travel Requirements:

25%

Flexible Work Arrangements:

Not Applicable

Shift:

1st - Day

Valid Driving License:

No

Hazardous Material(s):

No

Required Skills:

Preferred Skills:

Job Posting End Date

11/5/2024

*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

Job Posting End Date: 11/06/2024

A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

Requisition ID: R307774