Data Science Architect

📋 Description

• Dive deep into diverse data (tabular, text, image) and deliver data-driven insights.
• Lead technical design of analytics solutions and communicate with stakeholders.
• Train and deploy models using GCP services (Vertex AI/AutoML/BQML) or custom solutions.
• Mentor junior team members and drive center of excellence initiatives.
• Support pre-sales, RFPs, and delivery to showcase value to clients.
• Create reports/presentations to illustrate solutions' impact.

🎯 Requirements

• 8+ years in data science with 3+ years in architectural roles.
• Python; R is a plus; strong SQL experience.
• GenAI experience: Prompt Engineering, RAG, Fine-tuning; Agentic AI a plus.
• Data Warehouses: Snowflake, BigQuery, Redshift, Synapse.
• Version control (Git/GitHub); Big Data tools (Spark/PySpark, Dask, Hive).
• ML model development with TensorFlow, Keras, PyTorch.

🎁 Benefits

• Collaborative culture that fosters innovation and growth.
• Opportunity to impact how businesses leverage data for daily decisions.
• Support for professional development and leadership growth.