Overview
We are seeking a highly skilled and motivated Data Scientist with hands-on experience in Google Cloud Platform (GCP) services, particularly Vertex AI, BigQuery, and Gemini. The ideal candidate will have a strong foundation in Python, SQL, and machine learning techniques, and will be responsible for designing, developing, and deploying data-driven solutions that drive business insights and innovation.
Key Accountabilities
- Assist in preparing and cleaning raw data for use in analytical models.
- Support the design, development, and deployment of machine learning models using tools such as Vertex AI and Gemini.
- Conduct exploratory data analysis and create visualizations to derive actionable business insights. Work on experimentation and model training for projects such as:
Generative AI assistants and summarization
Lookalike audience models for targeting
Content recommendation engines
Natural language–driven chatbots - Collaborate with data engineers and product managers to bring prototypes into production environments.
- Help monitor and evaluate model performance and iterate based on feedback and results.
- Continuously learn and explore new tools and frameworks within the Google Cloud ecosystem.
Qualifications
- 3 to 5 years of experience in a data science, analytics, or machine learning–related role.
- Working knowledge of:
- Python, SQL, and data manipulation libraries (e.g., Pandas, NumPy)
- Google Cloud Platform (GCP) services (especially Vertex AI, BigQuery, Gemini)
- Basic ML algorithms and data modeling techniques
- Familiarity with machine learning concepts such as classification, clustering, regression, recommendation, and NLP.
- Hands-on experience with any cloud-based ML or AI platform (Vertex AI preferred).
- Knowledge of Generative AI and LLM-based applications is a strong advantage.
- Degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field.
- Strong analytical thinking and attention to detail.
- Self-starter with the ability to work independently and with minimal guidance in a lean team environment.
- Excellent communication skills with the ability to explain technical concepts to both technical and non-technical audiences.
- Comfortable working in a fast-paced and collaborative environment.