Replicant
San Francisco
11-50 employees
The world's first conversational AI platform that makes self-service possible over the phone.
Prior Listings
Data Science Manager
Data Science Manager
This job is no longer open
Replicant is a voice AI technology that works out-of-the-box to solve customer problems over the phone. We craft great conversations by combining Machine Learning, Artificial Intelligence, and linguistic conversational design into the fastest, smartest, and most expressive Thinking Machines™ you’ve ever spoken with.
Our platform lets companies offer high-touch customer service without hiring, offshoring, or adding complex technical infrastructure to your call center. Replicant’s autonomous contact center handles call flows so agents can focus on what matters to customers, rather than answering mundane questions.
At Replicant, we’re creating a market for human-to-machine communications for the enterprise and redefining what it means to have machine driven conversations. We’re starting with customer service but the opportunity is much larger as we enter new markets and verticals. If you’re excited by AI and automation and want to make an impact with great technologists from MIT and Berkeley and strong go-to-market leaders from companies like Salesforce and Talkdesk, look no further.
All the while, Replicant generates structured data from previously black box or unstructured call recordings. This data is the key to continually improving our voice interfaces, and we’re looking for experienced Analytics talent to own our frameworks for conversation analytics, A/B testing, customer success and product KPIs. You will own our data vision and strategy, while driving alignment across the organization on key metrics. Your work will play a critical role in establishing Replicant as a market leader in enterprise conversational AI for customer service.
What You'll Do
- Measure performance of conversational AI features across our Thinking Machines; identify friction points in the caller UX through data
- Create a unified framework to run A/B tests of conversational design and algorithm parameters to optimize our Thinking Machines
- Standardize measurement frameworks for NLU model accuracy and identify opportunities for further feature development
- Drive alignment across the organization on defining, tracking and working towards attaining a set of core KPIs
What You'll Bring
- 5+ years of experience in Analytics / Data Science: bonus points for experience with machine learning & AI
- Proficient in SQL and visualization tools like Looker, Tableau
- An entrepreneurial attitude and comfort with ambiguityAbility to lead and communicate cross-functionally
- An ownership mindset
Our Values
Replicant has three core values. It is critical that everyone who joins the team feels excited and moved by these values as every new team member makes an impact on our culture.
Blade Runners: We take ownership and pride to influence the outcomes of our goals. We are successful, and like a Blade Runner, use the tools at our disposal to reach our objectives. We value open and honest communication and proactively seek feedback along the way. We are a company driven to grow and achieve both individually and as a team.
Bread Makers: We are humble and strive toward an egalitarian culture. No task is too big or too small. We work together to achieve our goals and develop our company mission. We believe that the whole is greater than the sum of its parts in everything that we do.
Självdistans (Self-Distance): Självdistans is Swedish for self-distance. It's the ability to critically reflect on oneself and one's relations from an external perspective. With this in mind, we act with objectivity and always remember that we are not our work. 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.
This job is no longer open