Data Scientist and Technical Leader
1 week ago
Untrap aims to bridge the gap between insights available to Managed Service Providers (MSPs) from their service desk ticketing system and unlock actionable data. Our platform empowers MSPs to make informed decisions, drive cost savings, and generate new revenue streams.
Job DescriptionWe are seeking a highly skilled Data Scientist and Technical Leader to join our team at Untrap. As a key member of our leadership team, you will play a pivotal role in shaping the technical direction of our company and driving business growth.
Key Responsibilities- Lead Feature Development: Design, build, and deploy critical features of our platform from initial concept to final implementation.
- Collaborate on Technical Roadmap: Define and execute the technical roadmap, including architectural decisions and technology selection.
- Drive Technical Excellence: Champion best practices in software development, focusing on clean, maintainable, and scalable code to ensure our platform can grow with our clients' needs.
- Full-stack Engineering: Utilize your expertise in front-end and back-end technologies to build a seamless and robust platform.
- AI Integration: Apply generative AI technologies, such as LLMs (GPT, LLaMa, Claude), and integrate them with tools like OpenAI, Azure AI, Amazon Bedrock, and Google Vertex to provide intelligent data insights and automation.
- Data Engineering & Management: Leverage your data science and data engineering expertise to manage and process large volumes of unstructured data. Develop robust data pipelines, implement scalable storage solutions, and ensure data integrity and security.
- Strategic Leadership: Take on a leadership role within the company, helping to shape the team culture, set technical standards, and build the product and engineering team.
We're selecting the ideal tech stack for our platform, focusing on applying existing generative AI technologies. This role is for you if you excel at turning complex AI requirements into innovative solutions. Key skills include:
- Generative AI Expertise: Experience with LLMs like GPT, LLaMa, and Claude.
- Data Engineering & Management: Proven ability to manage and process large volumes of unstructured data, develop scalable data pipelines, and ensure data integrity and accessibility.
- Data Science Proficiency: Strong background in data analysis, modelling, and leveraging data-driven insights to inform AI solutions tailored for MSPs.
- APIs: Proficiency in Python and APIs from OpenAI, Azure AI, Amazon Bedrock, and Google Vertex.
- Full-stack Deployment: Balance between rapid prototyping and full-stack deployment.
- AI Solution Development: Proven track record in developing real-world AI solutions.
- An entrepreneurial mindset, willing to work in a fast-paced, continuously changing environment of a startup. A detail-oriented team player who can start a product from zero and bring it to market.
- Strong communication and collaboration skills with cross-functional teams and external partners.
- Proven leadership in building, managing, and growing engineering teams.
- Effective project management and strategic alignment of technology with business goals.
- Problem-solving and decision-making abilities.
- A significant equity package: Participate in the upside of company growth as a co-founding member.
- A base salary: $150,000 - $200,000 per year, depending on experience.
- Opportunity to build, grow, and develop a team as the company grows.
- Be a Founding Member: Shape the culture and technical direction of a rapidly growing startup, with your contributions having a lasting impact on the company's future.
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