Python Data Specialist

3 weeks ago

Canada Replicant, Inc Full time

Replicant was founded on the belief that machines are ready to have useful, complex conversations that will transform the way they interact with the world, starting with customer service.
As the leader in Contact Center Automation, Replicant helps companies automate their most common customer service calls while empowering agents to focus on more complex and nuanced customer challenges. Replicant's AI platform allows consumers to engage in natural conversations across voice, messaging and other digital channels to resolve their customer support issues, without the wait, 24/7. We are now leading the way in using Large Language Models (LLMs) to transform customer service- again.
If you're excited by AI, ChatGPT, LLMs and want to make an impact with other great technologists and strong go-to-market leaders, then look no further. We currently serve Fortune 500 customers, run millions of AI calls per month in production, and are increasing our footprint globally.
As a Data Analyst in our Delivery team, you will play a pivotal role in shaping the future of conversational AI by measuring the performance of our Thinking Machines (conversational AI bots). This role sits at the intersection of data analytics and AI innovation, enabling our teams and clients to understand and enhance the impact of our Thinking Machines. You will work closely with our platform team to build robust data pipelines and models, ensuring the seamless flow and analysis of data critical to our AI's performance assessment. Your expertise will contribute to the development of standardized analytics, dashboards, and training materials, empowering both our internal teams and external clients to leverage our AI technology effectively.
Performance Measurement Definition: Define and implement metrics and KPIs to measure the performance of our Thinking Machines, ensuring they align with our strategic objectives.
Data Pipeline Partnership: Collaborate with the platform team to design and implement data pipelines and models that provide the foundation for performance measurement.
Analytics & Dashboards: Develop and maintain standardized analytics and dashboards to regularly assess and report on Thinking Machine performance, identifying areas for improvement.
Training & Enablement: Create comprehensive training and enablement materials for both internal and external teams, enhancing their ability to use and benefit from the analytics developed.
Focus on creating impactful data visualizations and dashboards, ensuring our data storytelling is both effective and engaging.
Experience in Data Analytics: Proven track record in data analytics, with a strong understanding of data modeling, data pipeline construction, and performance measurement.
Technical Proficiency: Expertise in data analysis tools (e.g., SQL, Python, R) and experience with BI tools (e.g., Tableau, Looker) for dashboard and report development.
Collaborative Skills: Exceptional ability to work cross-functionally with platform teams, customer success managers, and other stakeholders to deliver comprehensive data solutions.
Communication & Training Skills: Strong communication skills with the ability to develop and deliver clear, effective training and enablement materials.
A passion for AI and technology, with a creative approach to problem-solving and a constant drive to improve performance measurement methodologies.
A deep appreciation for impactful data visualization and dashboarding (you’re a fan of Stephen Few's approach to data presentation).
For all full-time employees, we offer:
Remote working environment that respects time zone differences
Top of the line healthcare (medical, vision, and dental)
️ Flexible vacation policy
️ Självdistans is Swedish for self-distance. There's no perfect science to growing a team or business, but we trust everyone at Replicant to point out our blind spots and humbly admit their own.
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