Data Scientist
Remote
Job Summary
Design, develop, and evaluate machine learning, statistical, and predictive models to solve complex business challenges across multiple departments. Apply modern artificial intelligence and machine learning techniques, including large language models and generative AI, to automate processes and generate business insights. Translate objectives into analytical solutions that deliver measurable value, while analyzing large datasets to identify trends and operational improvements. Partner with engineering and business teams to build scalable data pipelines and deploy models into production, ensuring quality, performance, and ethical implementation. Present findings to executive leadership and stakeholders, maintaining thorough documentation for transparency and governance. Stay current with emerging technologies to support strategic initiatives, forecasting, and automation projects.
Required Qualifications
- Design, develop, and evaluate machine learning, statistical, and predictive models to solve complex business challenges across multiple departments
- Apply modern artificial intelligence and machine learning techniques, including large language models (LLMs), generative AI, and advanced analytics, to automate processes, enhance decision-making, and generate business insights
- Translate business objectives into well-defined analytical, statistical, and machine learning solutions that deliver measurable business value
- Analyze large, complex datasets to identify trends, patterns, opportunities, and operational improvements
- Partner with data engineering, IT, and business teams to develop scalable data pipelines and deploy machine learning models into production environments
- Evaluate data quality, model performance, and AI system limitations while ensuring responsible, ethical, and practical implementation of predictive models
- Present analytical findings, recommendations, and technical concepts clearly to executive leadership and both technical and non-technical stakeholders
- Develop, monitor, and optimize predictive models, ensuring ongoing performance, accuracy, and reliability through continuous improvement
- Stay current with emerging technologies, AI advancements, machine learning methodologies, and data science best practices to identify opportunities for innovation
- Collaborate across departments to support strategic initiatives, business intelligence projects, forecasting, automation, and operational optimization
- Maintain thorough documentation of models, methodologies, assumptions, and development processes to support transparency, reproducibility, and governance
- Support ad hoc analytical projects and provide data-driven recommendations that improve business performance and operational efficiency
Hiring someone like this?
Get your role in front of qualified candidates on Sorce.