Larra AI

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About Larra AI

Larra AI is a pioneering startup based in Sydney, Australia, dedicated to becoming the world leader in churn prediction for subscription-based businesses. Our hybrid SaaS model merges cutting-edge AI algorithms providing actionable recommendations to prevent customer churn. As we aim for innovation, client value, and technological excellence.

Why joing Larra AI?

 

  • Impactful Work: Contribute to a mission-driven startup aiming to revolutionise churn prediction and enhance customer retention strategies.
  • Innovation at the Forefront: Work with the latest technologies in API development and cloud computing in a culture that celebrates innovation and creativity.
  • Career Growth: Benefit from significant professional development opportunities in a fast-paced environment that values initiative and growth.
  • Collaborative Culture: Be part of a dynamic team that values collaboration, open communication, and diversity.

As a Lead Data Scientist, you will play a pivotal role in driving Larra AI’s mission forward. You will lead a team of data scientists and analysts to develop and refine our churn prediction algorithms, ensuring high accuracy and actionable output. Your work will directly impact our clients’ success, helping them to significantly reduce churn through prescriptive analytics. This role requires a blend of technical expertise, leadership skills, and a deep understanding of our clients’ needs.

Key Responsibilities

  • Leadership and Team Management: Lead, mentor, and develop a team of data scientists and analysts. Foster a culture of innovation, collaboration, and continuous learning.
  • Algorithm Development and Enhancement: Develop, test, and enhance predictive models for customer churn, incorporating the latest in AI and machine learning techniques. Ensure models are customized and continually optimized for each client’s unique data set and business needs.
  • Data Quality and Strategy: Collaborate closely with clients to ensure the quality, completeness, and accessibility of data. Develop strategies for data enrichment and validation to support robust analytics.
  • Client Consultation and Collaboration: Work directly with clients to understand their business challenges and objectives. Provide prescriptive analytics and actionable recommendations to prevent churn.
  • Innovation and Research: Stay at the forefront of AI, machine learning, and predictive analytics trends and technologies. Lead research initiatives to explore new methodologies and tools for enhancing our solutions.
  • Communication and Reporting: Communicate complex data insights and recommendations to both technical and non-technical stakeholders. Ensure clear, impactful reporting and visualization of data for client presentations.

Qualifications

  • Education: Master’s or PhD in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • Experience: Minimum of 5 years of experience in data science, with at least 2 years in a leadership role. Proven track record in predictive modeling and analytics, particularly in churn prediction or similar customer behavior modeling.
  • Technical Skills: Expertise in machine learning algorithms, statistical analysis, and programming languages such as Python or R. Experience with big data technologies and cloud computing platforms is highly desirable.
  • Business Acumen: Strong understanding of subscription-based business models and the challenges related to customer churn. Ability to translate data insights into business strategies and actionable recommendations.
  • Communication Skills: Excellent communication and interpersonal skills, with the ability to engage effectively with both technical teams and business stakeholders.
  • Innovative Mindset: Passion for innovation and a proactive approach to identifying and pursuing opportunities to enhance our analytics capabilities and deliver value to our clients.

As a Machine Learning Engineer at Larra AI, you will be instrumental in building and optimizing our AI-powered churn prediction models. Your work will directly contribute to our core product’s development, enhancing its accuracy, efficiency, and scalability. This role demands a blend of technical prowess in machine learning, software engineering skills, and a keen understanding of our clients’ business needs.

Key Responsibilities

  • Model Development and Optimization: Design, implement, and fine-tune machine learning models for churn prediction, ensuring they are both highly accurate and efficient.
  • Data Engineering Integration: Work closely with the data engineering team to build robust data pipelines that support the scaling and automation of machine learning workflows.
  • Performance Monitoring: Continuously monitor the performance of deployed models, conducting A/B tests and implementing improvements to enhance accuracy and efficiency.
  • Collaborative Product Enhancement: Collaborate with product managers and the data science team to integrate machine learning models seamlessly into Larra AI’s product offerings, enhancing user experience and value delivery.
  • Research and Innovation: Stay abreast of the latest developments in machine learning and AI research, exploring new techniques and technologies that could be leveraged to improve Larra AI’s offerings.
  • Technical Leadership: Provide guidance and mentorship to junior ML engineers and data scientists, fostering a culture of technical excellence and innovation.

Qualifications

  • Education: Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field with a strong focus on machine learning.
  • Experience: Minimum of 3 years of experience in a machine learning engineer role, with a proven track record of developing and deploying scalable ML models, preferably in the domain of churn prediction or customer behavior analysis.
  • Technical Skills: Expertise in machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, R), and big data technologies. Experience with cloud computing platforms (AWS, GCP, Azure) is highly desirable.
  • Problem-Solving Skills: Strong analytical and problem-solving abilities, with a capacity to work on complex problems requiring an innovative approach.
  • Communication Skills: Excellent communication skills, with the ability to translate complex technical concepts into clear, actionable insights for technical and non-technical stakeholders.
  • Teamwork and Collaboration: Strong collaborative skills, with experience working in cross-functional teams to drive product development and innovation.

As an API Specialist at Larra AI, you will be pivotal in developing, optimizing, and maintaining our suite of APIs, which enable clients to integrate our churn prediction solutions seamlessly into their systems. Your expertise will bridge our advanced analytics capabilities with our clients’ operational workflows, ensuring high performance, security, and scalability of API services.

Key Responsibilities

  • API Development and Lifecycle Management: Design, develop, and maintain RESTful APIs that provide access to Larra AI’s analytics platform, ensuring they are scalable, secure, and efficient.
  • Integration Solutions: Work closely with clients and internal teams to create bespoke integration solutions, facilitating seamless access to Larra AI’s services within client applications.
  • Security and Compliance: Implement robust security protocols and compliance measures to protect sensitive data accessed or transmitted via APIs.
  • Performance Optimization: Monitor API performance metrics, identify bottlenecks, and implement optimizations to ensure high availability and low latency.
  • Documentation and Support: Produce comprehensive API documentation and guides for developers, and provide technical support to clients and internal teams on API integration.
  • Collaboration and Innovation: Collaborate with the product development, data science, and engineering teams to align API services with product capabilities and client needs. Stay abreast of industry trends and technologies to continuously improve API offerings.

Qualifications

  • Education: Bachelor’s degree in Computer Science, Information Technology, or related field.
  • Experience: Minimum of 3 years of experience in API development and management, with a strong portfolio of designing and implementing RESTful APIs.
  • Technical Skills: Proficiency in API development frameworks and standards (e.g., Swagger/OpenAPI), understanding of OAuth and other authentication/authorization protocols, experience with cloud services (AWS, Azure, GCP), and familiarity with containerization technologies (Docker, Kubernetes).
  • Security Knowledge: Strong understanding of web security practices and data protection protocols.
  • Communication Skills: Excellent verbal and written communication skills, with the ability to articulate technical details clearly and concisely to a non-technical audience.
  • Problem-Solving Skills: Exceptional problem-solving abilities and a proactive approach to identifying and addressing challenges in API performance or integration.

Interested candidates should submit their application via email at contact@larra.ai including a resume, a cover letter detailing their interest in Larra AI.