Data Scientist - Remote

Overview

The Lead Data Engineer helps architect and lead the development of enterprise-scale data platforms and advanced analytics solutions across multiple business units and subject areas.

In Short

• Lead Data Science and Data-driven Analytics engagements across clients.
• Design and optimize ML models for predictive and prescriptive analytics.
• Explore cutting-edge techniques in AI and ML.
• Maintain generative AI models and update code/documentation.
• Partner with data stewards to improve data availability and quality.
• Deploy AI and ML solutions in scalable environments.
• Use business intelligence tools for data visualization.
• Manage a team of data engineers and data scientists.
• Track latest AI innovations and build relevant PoCs.
• Participate in organization building and conferences.

Requirements

• Experience in Databricks.
• Strong programming skills in Python or R.
• SQL mastery for complex queries.
• Experience deploying models to production.
• Solid data engineering awareness.
• Hands-on experience with machine learning pipelines.
• Familiarity with data governance frameworks.
• Degree in IT, Engineering, or a quantitative discipline.
• Strong communication skills in English.
• Analytical mindset with problem-solving skills.

Benefits

• Health, vision, and dental insurance.
• Flexible spending accounts and health savings accounts.
• Retirement savings plans.
• Life and disability insurance programs.
• Paid and unpaid time away from work.
• Competitive pay based on various eligibility factors.