AI Data Scientist

Data Scientist/AI Engineer

Location: Remote 
Core Responsibilities
• Perform data analysis by applying statistical techniques to interpret datasets, identify patterns, form insights relevant to business questions, and predict outcomes.
• Translate complex software architecture problems into high-level AI and analytics solutions.
• Communicate findings through concise reports, charts, data visualizations, and storytelling to both technical and non-technical stakeholders.
• Define and integrate key data sources (design-time and run-time API and Service analytics) to deliver predictive and generative AI models.
• Model development- design, build, train, and validate predictive ML models and generative AI solutions using Python, R, and SQL.
• Develop custom pipelines for data ingestion, embedding generation and indexing in vector databases.
• Data analysis centers on API and microservice architecture patterns so knowledge of application architecture is valuable in this role.

Technical Skills
• Proficiency in Python, R, and SQL for data preparation, querying and model development.
• Tool proficiency with visualization tools such as Tableau and PowerBI to communicate insights effectively.
• Hands-on experience with Google Cloud Platform Vertex AI, BigQuery, TensorFlow, PyTorch.
• Hands-on experience with vector databases like Vertex AI Vector Search or Cloud SQL.

Professional Skills
• Strong analytical skills with attention to detail and a rigorous problem-solving approach.

“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”