Published: Tue, 01 Apr 2025 14:50:52 GMT
Lead Machine Learning Scientist at OneSix – Job Description
About OneSix:
OneSix is a leading data and artificial intelligence consultancy that specializes in helping businesses scale growth and efficiency. Our team of highly skilled Data Engineers, Data Scientists, Machine Learning Experts, and AI Engineers collaborate with clients to solve their most complex business problems. With strategic partnerships and the recent acquisition of Strong Analytics, OneSix is uniquely positioned to provide cutting-edge solutions to enterprises. We are committed to creating an inclusive and diverse work environment and are an equal-opportunity employer.
Job Description:
As the Lead Machine Learning Scientist at OneSix, you will work closely with our team to design and develop machine-learning-based solutions for clients. This role is crucial in 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. You will be responsible for bringing together state-of-the-art solutions to solve our clients’ most pressing problems.
Responsibilities:
– 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.
Equal Employment Opportunity:
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. Apply link
