Data Scientist

About the Role:

We are seeking a highly motivated Data Scientist to join our LS Digital team. The ideal candidate will have hands-on experience in building ML models, developing end-to-end pipelines, and deploying AI/ML solutions. Exposure to Generative AI technologies is a plus. In this role, you will contribute to the design, development, and deployment of AI/ML-driven products and services leveraging Google Vertex AI and related Google Cloud Machine Learning capabilities.

Key Responsibilities:

Design, develop, and deploy end-to-end machine learning pipelines.

Build predictive and prescriptive models to solve business problems.

Collaborate with cross-functional teams to implement AI/ML solutions in production.

Optimize and monitor ML models to ensure performance and scalability.

Explore and apply Generative AI technologies to enhance product capabilities.

Translate business requirements into technical solutions leveraging Vertex AI and Google ML tools.

Document methodologies, models, and processes for internal use and knowledge sharing.

Qualifications & Skills:

Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related field.

2 - 3 years of experience in data science, machine learning, and analytics.

Strong programming skills in Python and familiarity with ML frameworks (TensorFlow, PyTorch, or scikit-learn).

Experience with building and deploying end-to-end ML pipelines.

Exposure to cloud ML platforms, preferably Google Vertex AI.

Strong SQL skills for querying, data manipulation, and working with structured datasets.

Understanding of data engineering concepts, data preprocessing, and feature engineering.

Knowledge of Generative AI models and applications is a plus.

Strong problem-solving skills, analytical mindset, and attention to detail.

Ability to communicate complex technical concepts to both technical and non-technical stakeholders.

Why Join Us:

Work on cutting-edge AI/ML projects with real business impact.

Exposure to the latest in cloud-based ML technologies and Generative AI.

Collaborative and innovative work environment.