Senior/Staff Data Scientist

Jobgether • United States

Remote

This Job is No Longer Active This position is no longer accepting applications

AI Summary

Lead advanced analytics and AI initiatives, design and deploy machine learning models, and drive strategic decision-making. Collaborate across teams and mentor other data scientists. Stay ahead of emerging trends in AI, machine learning, and large language models.

Key Highlights

Lead cross-functional collaboration to define analytic initiatives

Analyze large, complex datasets to identify patterns and generate insights

Develop, deploy, and monitor advanced machine learning models

Mentor and guide other data scientists

Implement solutions into reporting platforms or production systems

Technical Skills Required

Python R SQL Java Machine Learning Statistical Analysis Data Visualization Transformers Attention Mechanisms Prompt Engineering RAG Embeddings Model Fine-Tuning GPU Optimization Cloud-Based Data Science Platforms

Benefits & Perks

Competitive base salary range: $165,000-$300,000

Annual incentive/bonus program

Comprehensive healthcare options

Employer-contributed Health Savings Accounts (HSA)

Life and disability insurance

Generous parental leave and family-building support

401(k) with employer match

Remote work flexibility

Paid time off and holidays

Wellness, travel, and gym discounts

Job Description

We are seeking a highly skilled Sr/Staff Data Scientist to lead advanced analytics and AI initiatives that transform large, complex datasets into actionable business insights. In this fully remote role, you will collaborate across teams to design, develop, and deploy machine learning models, optimization algorithms, and AI-driven solutions that drive strategic decision-making. You will also mentor other data scientists, oversee the implementation of analytic solutions into production systems, and stay ahead of emerging trends in AI, machine learning, and large language models. This role offers the opportunity to work in a fast-paced, collaborative environment, with meaningful impact on operational efficiency and business outcomes.

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