Lead Scientist, Data Science - Remote

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Lead Scientist, Data Science in the United States.

This role offers a high-impact opportunity to leverage advanced AI, machine learning, and optimization techniques to solve complex business challenges in pricing, sales, and finance. You will lead data science initiatives, designing and deploying predictive, prescriptive, and cognitive models that directly influence operational and financial performance. The position involves collaborating closely with cross-functional teams, mentoring junior data scientists, and serving as a thought leader in AI-driven analytics. You will explore cutting-edge techniques, translate technical insights into business recommendations, and contribute to the overall data science strategy. This role is ideal for someone passionate about AI, optimization, and driving measurable business outcomes in a dynamic environment.

Accountabilities:

• Lead the design, development, and deployment of AI, machine learning, and optimization models to address business challenges and improve performance.
• Conduct advanced analytics and statistical modeling to optimize pricing, forecasting, and decision-making processes.
• Collaborate with data engineers and business teams to integrate models into operational systems and software solutions.
• Research and implement innovative AI techniques to identify opportunities for process improvement and automation.
• Present insights and recommendations to senior leadership and stakeholders in clear, actionable terms.
• Serve as a subject matter expert in AI applications, mentoring team members and advancing data science practices across the organization.

Requirements

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or related quantitative discipline.
• Minimum of 4 years of experience in data science, operations research, or analytics, with focus on AI, ML, statistical modeling, forecasting, or optimization.
• Proficiency in at least one programming language such as Python, R, SQL, SAS, Spark, or Java.
• Hands-on experience building and deploying AI models, including supervised, unsupervised, and deep learning techniques.
• Strong foundation in statistics, hypothesis testing, anomaly detection, and model validation.
• Experience with reinforcement learning, causal inference, and AI applications in pricing or decision-making is preferred.
• Excellent communication skills with the ability to translate technical concepts into clear business insights.
• Advanced degrees (Master’s or PhD) in Data Science, AI, or related fields are a plus.

Benefits

• Competitive salary package.
• Full health insurance coverage from day one, including medical, dental, and vision.
• Life and disability insurance.
• Paid time off: up to 15 days in the first year and 9 paid company holidays.
• 401(k) retirement plan with company match.
• Education assistance and opportunities for professional development.
• Eligibility to participate in a company incentive plan.

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!