Join our dynamic team as we push the boundaries of what's possible and lead the charge in technological advancements on a global scale .

Roles & Responsibilities

• Model Development: Design, develop, and deploy scalable machine learning models.
• MLOps Implementation: Implement MLOps best practices for model versioning and monitoring.
• Capability Evaluation: Assess new data science platform capabilities for enterprise readiness.
• Data Exploration: Conduct data exploration and perform feature engineering.
• Analytics Delivery: Lead data-analytics project delivery, navigating multi-team complexities and working in a agile centric fashion .
• Stakeholder Engagement: Build relationships with stakeholders to understand their needs.
• Cross-Functional Collaboration: Work with geographically diverse teams to gather business requirements.

Qualifications

Education: High School Diploma required. Bachelor's or Master's degree in Computer Science, Statistics, Data Science, or a related field preferred.

Experience: Minimum of 3 years in data science, focusing on MLOps and model deployment.

Required Technical Skills:

• Proficiency in Python or R and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Working experience on Data science platforms like databricks, Dataiku or any similar platforms
• Working experience of data processing and engineering for machine learning.

Preferred Technical Skills:

• Knowledge of AWS services
• Familiarity with concepts of MLOps like MLflow.

Soft Skills:

• Excellent communication and teamwork skills.
• Strong problem-solving abilities and analytical thinking.

MSJR

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Current Employees apply HERE

Current Contingent Workers apply HERE

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 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:

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EEOC GINA Supplement

Pay Transparency Nondiscrimination

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.

Learn more about your rights, including under California, Colorado and other US State Acts

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, Monday - 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".

The Company is required to provide a reasonable estimate of the salary range for this job in certain states and cities within the United States. Final determinations with respect to salary will take into account a number of factors, which may include, but not be limited to the primary work location and the chosen candidate's relevant skills, experience, and education.

Expected US salary range:
$101,100.00 - $159,100.00

Available benefits include bonus eligibility, long term incentive if applicable, health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and sick days. A summary of benefits is listed here.

San Francisco Residents Only: We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance

Los Angeles Residents Only: We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance

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:
10%

Flexible Work Arrangements:
Not Applicable

Shift:
Not Indicated

Valid Driving License:
No

Hazardous Material(s):
N/A

Required Skills:
Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Software Development, Stakeholder Relationship Management, Waterfall Model

Preferred Skills:

Job Posting End Date:
01/7/2025
*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:R324060