Senior Data Scientist

Job description

**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. #### **Senior Data Scientist** OneSix is looking for a Senior Data Scientist to build and deploy cutting-edge ML solutions for a diverse client base. You'll work alongside engineers and scientists to tackle complex problems, push the state of the art, and help shape how we do ML at OneSix. While this isn't a people management role, you'll serve as a technical anchor on your team — mentoring others and influencing project direction. #### **What You'll Do** - Research, design, and build ML models across a range of use cases — we work with clients across industries and problem types - Work across the full deployment spectrum: managed cloud ML platforms (SageMaker, Vertex AI, Azure ML) and containerized solutions built from scratch in Python on raw infrastructure - Collaborate with engineers to integrate models into production environments and uphold MLOps best practices - Preprocess and analyze large datasets; think critically about data quality and what it means for model reliability - Contribute to technical discussions across the team, fostering a culture of shared learning and continuous improvement - Translate complex ML concepts clearly for both technical collaborators and non-technical client stakeholders #### **What You Bring** - 4+ years of hands-on ML experience with a track record of shipping models to production - You have a strong suit in at least one area — predictive/classical ML, computer vision, or LLM/agentic systems — and you’re genuinely curious about adjacent domains - Strong Python and SQL skills, production-code instincts, and Git fluency; R or C++ a plus - Comfortable across the full deployment stack: managed cloud services and containerized solutions built from scratch (Docker, EC2-style environments) - Deep understanding of ML algorithms, statistical modeling, and optimization - M.S. in a quantitative field, or equivalent depth demonstrated through shipped work - Clear communicator who can explain their methodology and defend their choices - Must be based in the US or Canada #### **Compensation / Benefits** - Competitive compensation - Company-paid medical, vision, dental, and wellness benefits for employees - 401k Employer match - Company-provided home office equipment - Flexible vacation and sick days - Team-oriented and supportive working environment - Company-sponsored events and swag This position offers a base salary in the range of $140,000–$180,000 USD annually, depending on experience and location. Compensation may vary based on factors including geographic location, level of experience, skills, and performance. This salary range reflects base pay only and does not include any additional compensation such as bonuses, equity, or benefits. 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.