Sr Data Scientist [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Sr Data Scientist based in United States.

This role combines advanced data science expertise with hands-on customer collaboration and technical consulting.
You will help organizations solve complex business problems using machine learning, analytics, and AI technologies.
The position offers the opportunity to work across industries and a wide range of real-world data science use cases.
You will guide customers through platform adoption, technical discovery, training, and production-grade project development.
Success requires both strong technical depth and the ability to communicate complex concepts clearly to diverse audiences.
You will also contribute to mentoring, knowledge sharing, and helping data science teams grow their capabilities.
This is an impactful, client-facing opportunity in a highly collaborative and continuously evolving AI environment.

Accountabilities:

In this role, you will combine technical data science expertise with consultative and customer-facing responsibilities to help teams successfully adopt and apply modern AI and machine learning capabilities.

• Help users discover and master the platform through training sessions, office hours, demonstrations, and ongoing consultative support.
• Analyze and investigate data science and machine learning applications across different industries, business contexts, and use cases.
• Provide strategic guidance to customers and account teams to identify opportunities and support successful project outcomes.
• Scope, design, and co-develop production-level data science projects alongside customers.
• Support customers throughout their journey, from initial discovery and integration through deployment and ongoing adoption.
• Explain technical concepts and data science methodologies to both technical and non-technical stakeholders.
• Mentor and educate customer data scientists and other team members, contributing to their professional development and technical growth.
• Stay current with emerging technologies and continuously expand expertise across data science, machine learning, and AI.

Requirements:

The ideal candidate combines strong hands-on data science experience with curiosity, communication skills, and a genuine interest in teaching and collaborating with customers.

• 5+ years of professional coding experience using Python, R, and/or SQL.
• 5+ years of experience building and applying machine learning models.
• Strong understanding of underlying data systems and modern platform architectures.
• Familiarity with technologies such as cloud architectures, Kubernetes, Spark, and SQL.
• Strong curiosity and willingness to learn new technical skills and technologies.
• Excellent communication skills, with the ability to explain complex technical subjects clearly to both technical and non-technical audiences.
• Empathy, collaboration skills, and enthusiasm for sharing knowledge with colleagues, customers, and the broader data science community.
• Experience in consulting and/or customer-facing data science roles is a strong advantage.
• Experience with data engineering or MLOps is highly valued.
• Experience developing web applications using JavaScript, RShiny, or Dash is a plus.
• Experience building APIs is a plus.
• Familiarity with enterprise data science tools is beneficial.
• Passion for teaching, presenting, or public speaking is an advantage.

Benefits:

• US national base salary range of $210,000–$220,000 USD .
• Final compensation determined based on factors including geographic location, internal equity, education, skills, experience, and training.
• Eligibility for commission or other variable compensation depending on the role.
• Stock options.
• Medical, dental, and vision insurance plans.
• Flexible spending accounts.
• Pre-tax commuter benefits.
• 401(k) company match.
• Paid vacation and sick leave.
• Paid parental leave.
• Employer-paid disability coverage.
• Additional health and wellbeing perks and benefits.
• Remote work opportunity.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.