Note: The job is a remote job and is open to candidates in USA. SoTalent is seeking a Senior Data Scientist to apply machine learning, statistical analysis, and analytics to complex business challenges. The role develops and monitors production-ready models, translates data insights into business recommendations, and collaborates with engineering, product, and business teams.
Responsibilities
- Develop, validate, and optimize machine learning and statistical models to address critical business needs
- Design experiments and evaluate model performance using sound statistical methodologies
- Partner with engineering teams to ensure models are scalable, maintainable, and deployment-ready
- Analyze large and complex datasets to uncover trends, patterns, and actionable insights
- Create dashboards and reporting solutions to monitor model effectiveness and communicate key findings
- Collaborate with technical teams to support model deployment and operationalization
- Monitor deployed models for performance, drift, accuracy, and reliability
- Identify opportunities for model enhancements and recommend retraining strategies when needed
- Evaluate production performance and provide recommendations to improve outcomes and user experience
- Support the implementation of best practices for model governance and monitoring
- Translate analytical findings into actionable recommendations for business and product stakeholders
- Identify opportunities to improve revenue, operational efficiency, customer experience, and overall business performance
- Communicate complex analytical concepts and results to both technical and non-technical audiences
- Drive data-informed decision-making through insights, forecasting, and predictive analytics
- Work cross-functionally with data, engineering, product, and business teams
- Mentor team members on machine learning methodologies, statistical techniques, and industry best practices
- Contribute to the development of data science standards, frameworks, and operational playbooks
- Foster a culture of continuous learning, experimentation, and innovation
Skills
- 5+ years of experience applying machine learning, predictive modeling, and statistical analysis in business environments
- Advanced degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or a related field, or equivalent practical experience
- Strong experience building and deploying machine learning solutions in production environments
- Expertise in Python and common machine learning frameworks and libraries
- Strong knowledge of supervised and unsupervised learning, experimentation, model evaluation, and statistical analysis
- Proficiency in SQL and working with large-scale datasets
- Experience with cloud-based data and analytics platforms
- Understanding of APIs, model deployment processes, and production monitoring practices
- Experience with data visualization, dashboard creation, and data storytelling
- Familiarity with modern data warehousing and analytics ecosystems
- Knowledge of deep learning frameworks and advanced machine learning techniques
- Exposure to additional programming languages and software engineering practices
- Experience collaborating with data engineering teams to optimize data pipelines and workflows
Company Overview