Job Description

We are seeking a highly skilled and motivated Data Scientist with a strong background in Computer Science to join our dynamic team. The ideal candidate will have expertise in Natural Language Processing , prompt engineering with Generative AI especially Large Language Models, and knowledge graphs. This role requires the ability to analyze complex data sets, develop algorithms, and create innovative solutions to enhance our data-driven decision-making processes.

Key Responsibilities:

Data Analysis and Interpretation:

• Analyze and interpret large volumes of structured and unstructured data.
• Develop machine learning algorithms and statistical models to extract meaningful insights.

Natural Language Processing:

• Utilize NLP techniques to enhance text analysis and processing capabilities.
• Implement algorithms for sentiment analysis, entity recognition, topic modeling, and other NLP tasks.

Prompt Engineering and fine tuning:

• Design, implement, and optimize prompts for LLMs, especially in a conversational AI context.
• Evaluate and refine prompts for performance and accuracy of a LLM.
• Fine tune a LLM if needed.

Knowledge Graph Development:

• Build and maintain knowledge graphs to represent and connect information in a meaningful way.
• Collaborate with cross-functional teams to enhance the knowledge graph with new data sources and insights.

Collaboration and Communication:

• Work closely with product managers, engineers, and other stakeholders to provide data-driven insights and solutions.
• Communicate findings and recommendations clearly to technical and non-technical audiences.

Continuous Learning and Innovation:

• Stay current with the latest research and technologies in data science, machine learning, and NLP.
• Proactively seek opportunities to improve existing processes and methodologies.

Qualifications:

• Education:
  • Master’s degree in Computer Science, Data Science, or a related field.

Technical Skills:

• Strong programming skills in languages such as Python, R, or Java.
• Proficiency in NLP libraries and frameworks (e.g., NLTK, SpaCy, Hugging Face Transformers, etc.).
• Solid understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, etc.).
• Extensively skilled in utilizing  advanced LLMs (e.g., GPT-4, Gemini, LLaMA, etc.), with a focus on prompt engineering. Experience with fine-tuning LLMs is nice to have. 
• Familiarity with AI agents, graph databases and knowledge graph technologies.

Experience:

• Minimum of three years of experience in data science or a related field in industry. Fewer years of experience are needed if the candidate has a PhD.
• Proven track record of working with NLP, prompt engineering, and knowledge graphs.

Soft Skills:

• Strong problem-solving skills and analytical mindset.
• Excellent communication skills, capable of conveying complex technical concepts to diverse audiences.
• Ability to work collaboratively in a team-oriented environment.

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:

EEOC Know Your Rights

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:

$153,800.00 - $242,200.00

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:

Domestic

VISA Sponsorship:

No

Travel Requirements:

10%

Flexible Work Arrangements:

Hybrid

Shift:

Not Indicated

Valid Driving License:

No

Hazardous Material(s):

n/a

Job Posting End Date:

03/5/2025

*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.