Jobgether
Lead Data Scientist
TLDR
Lead end-to-end ML engagements across diverse industries, delivering production-ready solutions while guiding client strategy and mentoring data science teams.
Accountabilities:
- Lead end-to-end client engagements, including problem scoping, solution design, delivery execution, and stakeholder management.
- Design, build, and deploy machine learning solutions across diverse domains, ensuring scalability, reliability, and business impact.
- Manage and mentor small teams of data scientists, providing technical guidance and supporting professional development.
- Act as the primary technical and strategic point of contact for clients, ensuring alignment and clear communication throughout delivery.
- Develop production-grade ML systems using cloud platforms (e.g., SageMaker, Vertex AI, Azure ML) and Python-based infrastructure.
- Evaluate and integrate emerging tools, frameworks, and methodologies to improve solution quality and delivery efficiency.
- Contribute to best practices in ML engineering, experimentation, and lifecycle management across projects.
- 6+ years of hands-on machine learning experience with a proven track record of deploying models into production environments.
- Strong experience in client-facing or consulting roles, with the ability to manage expectations, scope, and delivery risk effectively.
- Deep expertise in at least one ML domain such as predictive analytics, computer vision, or LLM/agent-based systems, with adaptability across others.
- Strong Python and SQL skills, with experience building production-grade code using frameworks such as PyTorch, Scikit-learn, or Hugging Face.
- Experience working across full ML deployment stacks, including cloud services, Docker, and infrastructure-level development.
- Familiarity with ML lifecycle tools such as MLflow, Weights & Biases, or similar platforms.
- Strong communication skills with the ability to explain complex models to both technical and non-technical stakeholders.
- Advanced degree in a quantitative field (or equivalent practical experience through shipped production work).
- Competitive annual salary ranging from $160,000 to $200,000 USD depending on experience and location.
- Comprehensive employer-paid health, dental, vision, and wellness benefits.
- Flexible vacation and sick leave policy supporting work-life balance.
- Company-provided home office equipment to support remote work.
- Collaborative, team-oriented environment with strong mentorship and knowledge-sharing culture.
- Exposure to diverse, high-impact client projects across multiple industries.
- Regular team events and company-sponsored activities.
Requirements:
Benefits:
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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Benefits
Health Insurance
Comprehensive employer-paid health, dental, vision, and wellness benefits.
Home Office Stipend
Company-provided home office equipment to support remote work.
Team events and activities
Regular team events and company-sponsored activities.
Paid Time Off
Flexible vacation and sick leave policy supporting work-life balance.
Jobgether runs the largest remote job platform, effectively linking job seekers with over 200,000 flexible and remote opportunities that match their unique skills and preferences. Our focus is on enhancing the hiring process, ensuring efficiency while prioritizing the candidate experience, particularly in the growing health and wellness sector.
- Founded
- Founded 2020
- Employees
- 11-50 employees
- Industry
- Professional Services
Lead Data Scientist