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.

Accountabilities:

Lead cross-functional collaboration to define analytic initiatives, formulate strategies, and develop data-driven solutions
Analyze large, complex datasets to identify patterns, generate insights, and support business decisions
Develop, deploy, and monitor advanced machine learning models for forecasting, optimization, and workflow improvements
Collaborate with stakeholders to understand requirements and translate them into actionable insights and solutions
Design and deliver clear visualizations and reports that effectively communicate analytical findings
Maintain and enhance data pipelines to ensure high-quality and accurate data
Mentor and guide other data scientists, promoting best practices in modeling, coding, and analysis
Implement solutions into reporting platforms or production systems, overseeing development, testing, and monitoring

Requirements

Minimum of 6 years of experience building optimization algorithms or in a similar data science role
Advanced proficiency in Python, R, SQL, and Java for data analysis, modeling, and software development
Strong experience with machine learning, statistical analysis, and data visualization tools
Knowledge of LLM architecture (e.g., transformers, attention mechanisms) and experience with prompt engineering, RAG, embeddings, model fine-tuning, and GPU optimization
Familiarity with cloud-based data science platforms and integration into enterprise solutions
Exceptional problem-solving skills, intellectual curiosity, and ability to thrive in a fast-paced, collaborative team environment
Strong communication skills to effectively present technical concepts to diverse audiences
Preferred: Bachelor's or higher in Operations Research, Computer Science, Industrial Engineering, or related field; Ph.D. is a plus. Experience in logistics, transportation, or high-tech sectors is a bonus. Knowledge of geospatial analytics, route optimization, and Agile methodologies (Scrum, Kanban, SAFe) is preferred

Benefits

Competitive base salary range: $165,000-$300,000, commensurate with experience
Annual incentive/bonus program
Comprehensive healthcare options, including medical, dental, vision, telemedicine, mental health, and wellness support
Employer-contributed Health Savings Accounts (HSA), life and disability insurance
Generous parental leave, family-building support, and dependent care benefits
401(k) with employer match and industry-leading retirement programs
Remote work flexibility across the contiguous United States
Paid time off and holidays, along with wellness, travel, and gym discounts

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.

📊 It compares your profile to the job's core requirements and past success factors to determine your match score.

🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.

🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!