Data Scientist

Job Description

Position Summary

We are seeking a Data Scientist / Machine Learning Engineer to develop and deploy advanced analytical and machine learning solutions that drive business outcomes. This role requires a combination of strong technical expertise, problem-solving ability, and collaboration skills to transform complex business challenges into scalable, data-driven solutions. The ideal candidate will have experience building production-ready machine learning systems and communicating insights to a wide range of stakeholders.

Key Responsibilities

• Translate complex and evolving business challenges into structured analytical and machine learning solutions.
• Design, develop, validate, and optimize statistical and machine learning models that support forecasting, classification, prediction, optimization, segmentation, and decision-making initiatives.
• Build and maintain scalable data science and machine learning workflows using modern software engineering and operational best practices.
• Develop, document, and maintain machine learning models, data pipelines, deployment processes, and technical procedures to support long-term maintainability and knowledge sharing.
• Deploy machine learning solutions into production environments and support ongoing monitoring, maintenance, and performance optimization.
• Collaborate with cross-functional stakeholders to gather requirements, define success metrics, and ensure solutions meet business objectives.
• Present technical findings, recommendations, and insights to both technical and non-technical audiences.
• Evaluate emerging technologies, methodologies, and industry best practices, contributing to continuous improvement across the organization.
• Support model governance, testing, validation, and lifecycle management activities.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field; equivalent experience may be considered.
• 5+ years of professional experience in data science, machine learning, advanced analytics, or a related field, including experience deploying solutions into production environments.
• 3+ years of hands-on experience developing machine learning models for real-world business applications.
• Strong proficiency in Python and common data science and machine learning frameworks.
• Experience using SQL for data extraction, transformation, analysis, and validation.
• Experience designing, building, and supporting end-to-end data science and machine learning workflows.
• Knowledge of supervised and unsupervised machine learning techniques and their practical applications.
• Familiarity with cloud-based computing platforms and modern deployment environments.
• Experience working with enterprise-scale data platforms, warehouses, and distributed data systems.
• Demonstrated experience monitoring, maintaining, and improving machine learning solutions after deployment.
• Strong analytical, troubleshooting, and problem-solving capabilities.
• Excellent communication skills with the ability to bridge technical and business perspectives.
• Proven ability to manage multiple priorities and deliver results in a fast-paced environment.
• Ability to work onsite during onboarding and initial training periods as required.
• Occasional travel may be required based on business needs.

Preferred Qualifications

• Master's degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related discipline.
• Experience with machine learning operations (MLOps), model lifecycle management, and automation frameworks.
• Exposure to generative AI, large language models, natural language processing, or related artificial intelligence technologies.
• Experience developing personalization, ranking, recommendation, optimization, or predictive analytics solutions.
• Familiarity with data governance, classification methodologies, taxonomy development, or data quality frameworks.
• Strong background in statistical analysis, data visualization, and experimental design.
• Experience contributing to architectural decisions involving machine learning infrastructure and scalable data platforms.
• Familiarity with large-scale consumer, enterprise, digital, transactional, or operational data environments.
• Demonstrated ability to influence technical strategy and drive adoption of best practices across teams.

Kavaliro provides Equal Employment Opportunities to all employees and applicants. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Kavaliro is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Kavaliro will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please respond to this posting to connect with a company representative.

Job Requirements

Remote