Senior Data Scientist

About Our Client

The organization is a consultancy specializing in data and artificial intelligence (AI), supporting businesses in developing strategies, technologies, and teams to enhance growth and efficiency. It combines expertise in data engineering, data science, machine learning (ML), and AI to address complex business challenges. Through partnerships with technology providers such as Snowflake, AWS, and Matillion, the organization employs modern technology and scalable architectures. The recent acquisition of an ML and AI consultancy has strengthened its capacity to serve enterprise clients with a unique combination of talent.

About the Opportunity

The Senior Data Scientist role involves designing and deploying advanced machine learning solutions across various industries. This position serves as a technical leader within project teams by mentoring colleagues and influencing the direction of ML initiatives. The role is crucial for advancing the organization's ML capabilities and delivering impactful solutions to clients.

Responsibilities

• Research, design, prototype, and build state-of-the-art ML models tailored to solve diverse, complex client use cases
• Deploy and serve machine learning models at scale using managed cloud ML platforms and microservices-based, containerized Python solutions
• Collaborate closely with Data and DevOps engineers to implement models into production pipelines and enforce rigorous MLOps best practices
• Preprocess, clean, and perform exploratory data analysis (EDA) on large-scale datasets while establishing high data quality standards
• Participate actively in deep technical architecture discussions to promote shared engineering learning and continuous methodology improvements
• Communicate complex mathematical, statistical, and ML concepts clearly to both technical engineering teams and non-technical business stakeholders

Requirements

• Minimum of four (4) years of progressive professional experience in machine learning with a proven track record of deploying models into production environments
• Deep domain expertise in at least one specialized ML area, such as predictive modeling, computer vision, or large language models (LLMs) and generative AI
• Advanced programming proficiency in Python and SQL, alongside solid experience managing code via Git; supplementary knowledge of R or C++ is beneficial
• Hands-on familiarity with both managed cloud ML services (e.g., AWS SageMaker, Azure ML, or Google Vertex AI) and containerized deployment technologies (e.g., Docker, Kubernetes)
• Strong foundational understanding of core machine learning algorithms, statistical modeling techniques, and complex mathematical optimization
• Master's (M.S.) degree in a highly quantitative field (such as Computer Science, Data Science, Statistics, or Mathematics) or equivalent practical engineering experience
• Effective verbal and written communication skills suitable for consulting and client-facing collaboration
• Must maintain legal and physical residency within the United States or Canada

Pay Range and Compensation Package

The target baseline salary framework is $140,000.00 to $180,000.00 USD annually. Final base salary placement within this tier is calibrated dynamically based on the candidate's specialized modeling depth, MLOps expertise, physical location, and internal equity frameworks. Additional variable compensation components may vary based on geographic location, advanced skills, and individual performance metrics.

Benefits & Perks

• 100% company-paid medical, vision, and dental insurance plans
• Company-provided home office equipment stipends and hardware configurations
• Flexible vacation mapping and unlimited sick day allocations
• A supportive, collaborative, and team-oriented remote work environment
• Regular company-sponsored events, team-building outings, and corporate swag

Equal Opportunity Statement

The client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin. Note: RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.