Data Scientist • Mid-Level

Who you are

You have strong experience with Google Cloud Platform, particularly with BigQuery for large-scale data querying and analytics. You are proficient in deploying scalable serverless applications using Cloud Run and Cloud Functions, and you understand the importance of secure container and package storage with Artifact Registry. Your experience includes integrating and deploying OpenAI APIs to build LLM-powered applications, showcasing your ability to work with cutting-edge technologies.

Hands-on experience with LangChain and LlamaIndex for building retrieval-augmented generation (RAG) pipelines and LLM orchestration is essential. You are also skilled in using Docker for containerizing applications and managing isolated environments, ensuring that your development processes are efficient and reliable. Additionally, you have working experience with GitHub Actions for automating CI/CD pipelines and testing workflows, which is crucial for maintaining high-quality code.

Your strong background in data analysis includes writing complex queries in SQL and automating and visualizing reports in Google Sheets. You excel at performing data transformation, modeling, and exploration in Python, which allows you to derive meaningful insights from data. Your experience in data modeling and structuring datasets for analytical and machine learning use cases using Python further enhances your ability to contribute effectively to the team.

What you'll do

In this role, you will collaborate with cross-functional teams to solve customer challenges through human-centered experiences and digital core modernization. You will be responsible for building and deploying scalable data solutions that leverage the power of AI and machine learning. Your expertise will help drive the development of innovative digital capabilities that bring technology to the core of our clients' businesses.

You will work closely with engineering and product teams to ensure that data-driven insights are integrated into the product development lifecycle. This includes designing and implementing data pipelines, conducting data analysis, and presenting findings to stakeholders. Your role will also involve mentoring junior team members and sharing your knowledge of best practices in data science and cloud technologies.

What we offer

Wizeline is committed to investing in your growth and development. We offer opportunities to create personalized career paths and develop in-demand skills through our free education program, Wizeline Academy. You will be part of a diverse team that values ownership, innovation, community, and inclusivity. We encourage you to apply even if your experience doesn't match every requirement, as we believe in the potential of every individual to contribute to our mission.

Our culture fosters collaboration and creativity, allowing you to thrive in an environment where your ideas are valued. Join us in making a significant impact on the digital landscape and helping our clients succeed in their digital transformation journeys.