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We are seeking a skilled and collaborative Data Scientist to join our team in a partner-facing role. In this position, you will work closely with our software partners to design, develop, and present compelling data science use cases that showcase the value of our joint solutions and tools. This is a unique opportunity to apply your analytical expertise in a cross-functional environment that blends data science, product innovation, and partner engagement.
Job Responsibility:
Collaborate with strategic software partners to understand their business use cases and technical environments
Design and implement data science use cases (e.g., data analysis, NLP applications, customer segmentation) that align with partner solutions
Build and maintain end-to-end prototypes and proof-of-concepts (POCs) that highlight the capabilities of our platforms and partner integrations
Present findings and demonstrations to both technical and non-technical audiences, including stakeholders, partners, and customers
Translate complex data insights into clear, actionable recommendations tailored to customer outcomes
Work cross-functionally with product, engineering, marketing, and sales teams to ensure alignment and success in partner engagements
Develop reusable templates, notebooks, and documentation to accelerate future use case development
Stay up-to-date with industry trends in machine learning, AI, and partner ecosystems
Requirements:
Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field
3+ years of experience in data science, preferably with experience in customer-facing or partner-driven environments
Proficient in Python (pandas, scikit-learn, etc.) and data visualization tools (e.g., Tableau, Power BI, Plotly)
Experience with machine learning model development, evaluation, and deployment
Strong communication skills, with the ability to present technical concepts to diverse audiences
Demonstrated ability to manage multiple projects and priorities in a fast-paced environment
Experience with cloud platforms (AWS, Azure, or GCP) and data infrastructure is a plus
Nice to have:
Experience working directly with software vendors, technology partners, or in a pre-sales/sales engineering role
Familiarity with ML Ops, APIs, and integration of models into third-party software solutions
Contributions to open-source projects or publications related to data science or AI
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