DATA SCIENCE INNOVATOR FOR INTELLIGENT EXPERIENCES (NO778)

Bebee Careers


Role Summary We are seeking a talented Data Scientist to drive innovative solutions that create meaningful impact for our clients. In this role, you'll leverage your deep technical expertise and strategic mindset to collaborate across disciplines—partnering closely with creative, strategy, and data science teams—to unlock data-driven opportunities. The future is Intelligent Experiences (IX). Done well, with humans centered in the work, IX drives sustainable growth for businesses and brands, inspiring adoption and cutting through the boring that plagues the industry. Job Description We are pioneering the use of generative AI in Intelligent Experiences to transform how brands connect with their customers, creating deeply personalized, anticipatory services that not only captivate but also foster loyalty and increase the value brands bring customers and consumers. Key Responsibilities: - Cross-disciplinary collaboration with teams such as creative and strategy to create business solutions. - Hands-on development of statistical algorithm solutions and establishment of data models for machine learning, looking for opportunities. - Instrumental role in campaign and strategic optimization by leveraging our suite of intelligent data products and solutions. - Hands-on Data Scientist who thrives in a fast-paced environment and brings data science expertise into the portfolio of work. About This Role This is an exceptional opportunity to join a team that is shaping the future of Intelligent Experiences. As a Data Scientist, you will play a critical role in driving innovation and delivering results that make a real impact on our clients' businesses. Requirements - 5+ years of experience within an agency or product design company. - Degree in STEM is a plus. - Excellent communication and presentation skills. - Innate desire to remain at the forefront of innovation and emerging technology. - Strong interest in continuing education and acquiring subsequent certifications. - Ability to navigate a matrixed organization and understand how to achieve business goals in partnership with your team. Essential Skills - Expert-level proficiency in Python, with hands-on experience leveraging libraries such as Pandas and NumPy for large-scale data manipulation, analysis, and feature engineering. - Deep understanding of ML frameworks, particularly TensorFlow, to develop and optimize models for predictive analytics and AI-driven solutions. - Extensive experience working in cloud environments, specifically GCP, with strong proficiency in Vertex AI for deploying and scaling ML models. - Hands-on experience with Jupyter Notebook and Google Colab, utilizing them for rapid prototyping, experimentation, and collaboration across teams. - Ability to build and deploy scalable AI solutions, integrating cloud-native ML pipelines specifically with Vertex AI, GCP, and other cloud-based data services.

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