Senior Data Scientist

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About the Role

As a Senior Data Scientist at Monks, you will lead exciting projects focused on designing, developing, and deploying scalable Machine Learning (ML) and Generative AI (GenAI) models aimed at optimizing marketing effectiveness. This role requires a data expert with proven experience in deploying production-grade models on public cloud platforms such as GCP, AWS, or Azure.

You should have strong data literacy with the ability to translate complex technical applications into meaningful business value. Ideally, you have a background in marketing or product data science, coupled with a deep understanding of machine learning, statistics, and cloud technologies. While the role mainly focuses on data science, it also offers opportunities to tap into data engineering projects.

This role spans across the EMEA and MENA regions and involves close collaboration with our Analytics, Strategy, and Solutions Engineering teams. We offer a dynamic and challenging work environment at the forefront of AI-driven innovation in marketing. If you're passionate about pushing the boundaries of what’s possible, we encourage you to apply!

Responsibilities:

• Design, develop, deploy and manage scalable Machine Learning (ML) and Generative AI (GenAI) models across multiple cloud platforms, including AWS and GCP.
• Build and deploy advanced machine learning models, such as propensity, churn, and attribution models to drive predictive insights and enhance decision-making.
• Design and implement scalable GenAI architectures using APIs like ChatGPT and Gemini, integrated with LangChain libraries.
• Write optimized SQL queries to extract insights from large, complex datasets, leveraging advanced techniques such as window functions and DDL statements.
• Conduct and interpret statistical tests, including A/B testing, to validate hypotheses and evaluate the impact of tests.
• Authenticate through multiple platform APIs and manage end-to-end automation of ETL processes for data integration and transformation in the cloud.
• Implement efficient data models using tools like dbt and Dataform to convert raw data into structured formats for data warehousing and machine learning applications.
• Collaborate with internal and external stakeholders to understand their business challenges and support them in building tailored AI solutions and roadmaps.
• Navigate the complexities of a data science project, demonstrating the ability to differentiate between various solutions and apply the most suitable approach based on trade-offs between model accuracy, deployment cost, and data requirements.
• Create detailed documentation and establish best practices for building and deploying machine learning models to ensure consistency and scalability.
• Communicate complex technical concepts and results to both technical and non-technical stakeholders, including clients.
• Provide technical mentorship and guidance to junior team members.

About You

The essentials:

• Bachelor or Masters in a quantitative subject such as Data Science, Computer Science, Mathematics, Statistics, or a related field.
• 3+ years of working experience in data science or data engineering or a related field.
• Experience in designing and deploying cloud solutions on platforms such as GCP or AWS.
• Professional Cloud Certification such as GCP Cloud Architect, Data Engineer, Machine Learning Engineer, or any equivalent.
• Strong proficiency in Python and SQL.
• Solid understanding of statistics, machine learning algorithms, and Gen-AI applications.
• Expertise in authenticating and authorizing API requests using methods such as OAuth and API keys and troubleshooting common API-related challenges.
• Familiarity with data modeling tools such as dbt or Dataform.
• Expertise with data warehousing and ETL tools such as Amazon Redshift and Google BigQuery.
• Experience with building machine learning models or/and Gen-AI applications in production environments.
• Familiarity with data privacy principles and best practices, including compliance with relevant regulations and standards.
• Fluent English communication and written skills.
• Strong analytical and problem-solving skills with the ability to work independently and in a team environment.

Nice to have:

• Bachelor or Masters Degree in Data Science.
• Previous agency or consultancy experience is a plus.
• Experience with marketing analytics tools and data (e.g., Google Analytics, Adobe Analytics).
• Experience with automation through Terraform.
• Familiarity with MLOps, CI/CD, and version control tools.
• Experience with social data (e.g., Instagram, Facebook, TikTok).
• Knowledge of digital advertising industry practices and client verticals (retail, finance, etc.) is a plus.
• Experience with Looker Studio or any visualization tool.
  
  

If you don't meet all the requirements but think you might still be right for the role, please apply! We're always excited to hear from enthusiastic and talented people from all backgrounds.

At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.

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About Monks

Monks is the global, purely digital, unitary operating brand of S4Capital plc. With a legacy of innovation and specialized expertise, Monks combines an extraordinary range of global marketing and technology services to accelerate business possibilities and redefine how brands and businesses interact with the world. Its integration of systems and workflows delivers unfettered content production, scaled experiences, enterprise-grade technology and data science fueled by AI—managed by the industry’s best and most diverse digital talent—to help the world’s trailblazing companies outmaneuver and outpace their competition.

Monks was named a Contender in The Forrester Wave™: Global Marketing Services. It has remained a constant presence on Adweek’s Fastest Growing lists (2019-23), ranks among Cannes Lions' Top 10 Creative Companies (2022-23) and is the only partner to have been placed in AdExchanger’s Programmatic Power Players list every year (2020-24). In addition to being named Adweek’s first AI Agency of the Year (2023), Monks has been recognized by Business Intelligence in its 2024 Excellence in Artificial Intelligence Awards program in three categories: the Individual category, Organizational Winner in AI Strategic Planning and AI Product for its service Monks.Flow. Monks has also garnered the title of Webby Production Company of the Year (2021-24), won a record number of FWAs and has earned a spot on Newsweek’s Top 100 Global Most Loved Workplaces 2023.

We are an equal-opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves amongst colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents—and resonates with—the world around us.