About the Role
The data scientist will work directly with customers to understand their data challenges, develop predictive models, and guide successful deployment of machine learning systems using advanced analytical techniques and platform tools.
Responsibilities
- Collaborate with clients to identify business problems suitable for data science solutions
- Design and execute machine learning workflows tailored to client needs
- Translate technical results into actionable insights for non-technical stakeholders
- Support implementation of models into production environments
- Diagnose data quality issues and recommend preprocessing strategies
- Guide clients through best practices in model development and validation
- Assist in feature engineering and selection processes
- Evaluate model performance using appropriate statistical metrics
- Integrate predictive models with client systems and pipelines
- Provide technical mentorship during proof-of-concept engagements
- Troubleshoot modeling challenges in real-world datasets
- Document methodologies and model assumptions clearly
- Ensure compliance with data governance standards
- Stay current with advancements in machine learning techniques
- Present findings and recommendations during client workshops
- Work alongside engineers to streamline model deployment
- Optimize models for scalability and performance
- Contribute to reusable solution templates and tools
- Gather feedback to improve platform usability
- Support sales teams with technical demonstrations and use case analysis
- Assist in scoping new data science projects
- Validate client data readiness for modeling tasks
- Mentor customer teams on data science principles
- Collaborate across time zones to support global clients
- Maintain clear communication throughout project lifecycles
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid
Team
Part of a customer-facing technical team focused on delivering AI-driven insights and solutions
About the Team
This role is embedded within a specialized group that bridges data science expertise with customer success. The team delivers hands-on technical guidance to ensure clients achieve measurable outcomes using advanced analytics platforms.
What You’ll Do
- Engage directly with enterprise clients to understand their data infrastructure and business objectives
- Build and validate predictive models using both structured and unstructured data
- Lead technical discovery sessions and solution design workshops
- Support the integration of machine learning outputs into client decision processes
- Act as a trusted advisor throughout the AI adoption journey
Available for qualified candidates
