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OneSix

Lead Machine Learning Scientist

Posted 6 Days Ago
Be an Early Applicant
Remote or Hybrid
2 Locations
Senior level
Remote or Hybrid
2 Locations
Senior level
The Lead Machine Learning Scientist leads teams to design and develop machine learning solutions, mentor team members, and ensure successful project delivery.
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About OneSix 

OneSix is a leading data and artificial intelligence (AI) consultancy that helps businesses build the strategy, technology, and teams they need to scale growth and efficiency. Its team of skilled Data Engineers, Data Scientists, Machine Learning (ML) Experts, and AI Engineers seamlessly integrate with client teams to solve their most challenging business problems. Leveraging strategic partnerships with Snowflake, AWS, Matillion, Fivetran, Pyramid Analytics, and more, the company uses modern technology, scalable architectures, and industry best practices. With the recent acquisition of Strong Analytics, an ML and AI consultancy, OneSix is a uniquely powerful business partner to the enterprise, with a talent mix that is nearly impossible to find under one roof. 

OneSix is a fast-growing firm with significant career opportunities for motivated professionals who want to help create a unique company. We are committed to fostering an inclusive employee experience that reflects the world we live in today. We’re an equal-opportunity employer that welcomes people regardless of backgrounds, experiences, abilities, and perspectives.

Job Description and Responsibilities:

The Lead Machine Learning Scientist at OneSix works collaboratively to design and develop machine-learning-based solutions for clients. This role is mission-critical, leading project teams, shaping project scopes, and working directly with clients to iterate on solutions. While not a direct people manager, the Lead ML Scientist serves as a technical team lead, providing mentorship, guidance, and strategic direction to team members to ensure successful project delivery. They are responsible for bringing together state-of-the-art solutions to solve our clients' most pressing problems.

  • Conduct research and development on AI/ML models to solve complex technical challenges.
  • Design, train, and optimize machine learning models for performance, scalability, and efficiency.
  • Experiment with state-of-the-art AI techniques, such as deep learning, reinforcement learning, and generative models.
  • Work closely with engineers and scientists to integrate models into production environments.
  • Analyze and preprocess large datasets to improve model accuracy and robustness.
  • Stay updated with advancements in AI and ML and apply new findings to ongoing projects.
  • Ensure AI models adhere to ethical AI practices, fairness, and interpretability principles.
  • Contribute to technical documentation and research publications when applicable.
  • Strong problem-solving skills and analytical thinking.
  • Ability to work independently and collaborate with cross-functional teams.
  • Effective communication skills for discussing technical concepts and findings.
  • Act as a technical lead by guiding and mentoring team members, providing feedback, and fostering collaboration.
  • Help shape project scopes, drive technical discussions, and ensure alignment with business goals.
Experience / Qualifications
  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
  • 6+ years of hands-on AI/ML experience, with increasing leadership responsibilities.
Technical Skills:
  • Strong proficiency in ML tools (e.g., PyTorch, Scikit-learn, Huggingface).
  • Advanced programming skills in Python; experience with R and/or C++ is a nice to have.
  • Deep understanding of machine learning algorithms, statistical modeling, and optimization techniques.
  • Experience scoping and leading machine learning projects from scoping/design through deployment/monitoring.
  • Experience deploying ML models in production environments.
  • Experience with cloud-based ML infrastructure (AWS, GCP, Azure) and MLOps practices/tools.
Leadership & Soft Skills:
  • Strong mentorship abilities and a passion for helping others grow.
  • Ability to influence technical strategy without direct managerial authority.
  • Effective communication skills to present complex ML concepts to diverse audiences.
  • Problem-solving mindset and ability to work cross-functionally with different teams.
Compensation / Benefits
  • Competitive compensation
  • Company-paid medical, vision, dental, and wellness benefits for employees 
  • Company-provided home office equipment
  • Flexible vacation and sick days
  • Team-oriented and supportive working environment   
  • Company-sponsored events and swag

OneSix provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, familial status, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Top Skills

AWS
Azure
GCP
Huggingface
Python
PyTorch
Scikit-Learn

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