Senior Data Scientist

2 Months ago • 5 Years + • Data Analysis • $94,000 PA - $182,850 PA

Job Summary

Job Description

As a Senior Data Scientist focused on AI & Innovation, you will drive the development and application of generative AI technologies to enhance our media products and services. You will collaborate with cross-functional teams to research, prototype, and implement cutting-edge AI models that power next-generation media experiences. You will be responsible for GenAI R&D, Prototyping & Experimentation, Collaboration with various teams, Data Analysis & Modeling, deploying AI models into scalable, robust production environments, Innovation Leadership, and Ethics & Compliance.
Must have:
  • Advanced degree in Computer Science or related field.
  • 5+ years of experience in data science roles, with a strong focus on AI/ML.
  • Expertise in generative AI, NLP, and/or multimodal AI.
  • Proficiency in Python and ML frameworks like TensorFlow and PyTorch.
  • Experience with data engineering and cloud platforms.
Perks:
  • Medical, vision, and dental insurance
  • Life insurance
  • Short-term and long-term disability insurance
  • 401k
  • Flexible paid time off
  • At least 15 paid holidays per year
  • Paid sick and safe leave
  • Paid parental leave

Job Details

Job Description:

As a Senior Data Scientist focused on AI & Innovation, you will drive the development and application of generative AI technologies to enhance our media products and services. You will collaborate with cross-functional teams to research, prototype, and implement cutting-edge AI models that power next-generation media experiences.

Key Responsibilities

· GenAI R&D: Lead research and development of generative AI models (e.g., LLMs, multimodal models) for media applications such as content creation, personalization, creative optimization, and audience engagement.

· Prototyping & Experimentation: Rapidly prototype new AI-driven features, conduct experiments, and evaluate model performance with real-world data.

· Collaboration: Work closely with product managers, engineers, and media strategists to align AI initiatives with business goals and product roadmaps

· Data Analysis & Modeling: Analyze complex datasets, develop and validate machine learning models, and implement statistical methods for media optimization, segmentation, and forecasting

· Product: Collaborate with engineering teams to deploy AI models into scalable, robust production environments

· Innovation Leadership: Stay at the forefront of AI and media technology trends, propose and drive adoption of new tools and methodologies, and contribute to internal knowledge sharing

· Ethics & Compliance: Ensure responsible AI development, adhering to data privacy, fairness, and transparency standards.

Requirements

· Advanced degree (Master’s or PhD) in Computer Science, Data Science, Engineering, Mathematics, or related field.

· 5+ years of experience in data science roles, with a strong focus on AI/ML and R&D, ideally within media, advertising, or technology sectors

· Expertise in generative AI (e.g., LLMs, diffusion models, GANs), NLP, and/or multimodal AI.

· Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Hugging Face Transformers, etc.)

· Experience with data engineering, large-scale data analysis, and cloud platforms (AWS, GCP, Azure)

· Strong communication skills and ability to explain complex technical concepts to non-technical stakeholders

· Demonstrated ability to work in a fast-paced, global, and cross-functional environment.

· Track record of published research, open-source contributions, or patents in AI/ML

#LI-Remote #LI-MS3

The annual salary range for this position is ($94,000-$182,850). Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law.

Benefits available with this position include:

• Medical, vision, and dental insurance,

• Life insurance,

• Short-term and long-term disability insurance,

• 401k,

• Flexible paid time off,

• At least 15 paid holidays per year,

• Paid sick and safe leave, and

• Paid parental leave.

Dentsu also complies with applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, in accordance with its plans and policies. For further details regarding Dentsu benefits, please visit www.dentsubenefitsplus.com.

To begin the application process, please click on the “Apply” button at the top of this job posting. Applications will be reviewed on an ongoing basis, and qualified candidates will be contacted for next steps.

Location:

USA - Remote - Maryland

Brand:

Merkle

Time Type:

Full time

Contract Type:

Permanent

Dentsu is committed to providing equal employment opportunities to all applicants and employees. We do this without regard to race, color, national origin, sex , sexual orientation, gender identity, age, pregnancy, childbirth or related medical conditions, ancestry, physical or mental disability, marital status, political affiliation, religious practices and observances, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. 

 

Dentsu is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with us, please send an e-mail to ApplicantAccommodations@dentsu.com by clicking on the link to let us  know the nature of your accommodation request and your contact information. We are here to support you.  

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About The Company

We are dentsu. We team together to help brands predict and plan for disruptive future opportunities and create new paths to growth in the sustainable economy. We know people better than anyone else and we use those insights to connect brand, content, commerce and experience, underpinned by modern creativity. We are the network designed for what’s next.

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