Data Scientist
Posted on 9/18/2023

51-200 employees

AI-powered digital assistants for customer engagement and revenue
Company Overview
Conversica stands out as a leader in the AI industry with its Revenue Digital Assistants™ (RDAs) that enhance workforce productivity by engaging in structured conversations to unlock untapped revenue. Their RDAs, backed by over a decade of human interactions, are adept at influencing customers throughout their journey, thereby creating brand loyalty and maximizing revenue opportunities. This results in increased operational efficiencies, reduced costs, and improved customer experiences, positioning Conversica as a competitive player in the AI-driven customer engagement space.
AI & Machine Learning

Company Stage

Series E

Total Funding





Foster City, California

Growth & Insights

6 month growth


1 year growth


2 year growth

Seattle, WA, USA
Experience Level
Desired Skills
Data Analysis
Data Structures & Algorithms
Natural Language Processing (NLP)
AI & Machine Learning
Data & Analytics
  • Degree in a quantitative discipline such as Predictive Analytics, Statistics, Mathematics, or Computer Science with coursework in Machine Learning, Deep Learning, and Natural Language Processing; Masters/PhD preferred
  • 2 to 4 years relevant experience is preferred
  • Experience and training in cutting-edge research in machine learning, or natural language processing
  • Demonstrated success in using and developing machine learning models and data sets in a production environment
  • Advanced proficiency with at least one programming language for data analysis, preferably Python Experience with large data sets (10 million+ rows)
  • Ability to convey rigorous mathematical concepts and considerations to non-experts
  • Experience working in an agile methodology
  • Develop according to privacy by design and security by design principles
  • Ability to identify privacy and security workflow non-functional requirements and escalate any potential security or privacy design questions to Conversica's Architectural and Security teams at the design phase. The candidate will be expected to develop according to Conversica's SDLC, Secure Development Policy, Architectural standards, and Security Requirements
  • General understanding of U.S. and international privacy laws and regulations, especially as it relates to database access and design (Applicable Conversica Regulations - GDPR, CCPA, CAN-SPAM, and COPPA). General understanding of applicable security frameworks (AWS CIS Benchmark, SOC 2, ISO 27001, HIPPA, PCI-DSS)
  • Designs, develops, and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement
  • Responsible for developing, improving, and experimenting with methodologies and algorithms to support these efforts, using machine learning, deep learning, artificial intelligence and natural language processing techniques
  • Your scope will reach from text classification problems over big data analytics to A/B testing and experiment design
  • Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources
  • Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers