Staff Data Scientist, Invoca
$160-206k
+ Bonus potential
More information about location
AI-powered conversation intelligence platform
Job no longer available
AI-powered conversation intelligence platform
201-500 employees
Job no longer available
$160-206k
+ Bonus potential
More information about location
201-500 employees
Company mission
To enable revenue teams to turn conversation data into automated action to enhance every digital touchpoint and human interaction, leading to better experiences, more conversions, and higher revenue.
Role
Who you are
- 7+ years of professional experience or graduate-level coursework in data science, machine learning, statistics, physics, or a related field
- Advanced proficiency in applying machine learning techniques to real-world problems
- Advanced proficiency in Python, including expertise in data processing libraries (e.g., spaCy, Pandas), data visualization libraries (e.g., Matplotlib, Plotly), and familiarity with machine learning frameworks
- Intermediate proficiency implementing and evaluating fine-tuning approaches (LoRA, QLoRA, full fine-tuning)
- Intermediate proficiency in using vector databases (e.g., Pinecone, Weaviate). and embedding models for RAG systems
- Intermediate proficiency with big data technologies and frameworks (e.g., Spark, Hadoop)
- Intermediate proficiency working with the Databricks platform (e.g., Job/Compute, Delta Lake) or a similar platform for data analysis and model training tasks
- Intermediate proficiency in Bayesian statistics and its application to machine learning
- Basic proficiency with cloud platforms such as AWS, Google Cloud, or Azure
- An advanced degree in mathematics, statistics, physics, computer science, or equivalent professional experience
- Intermediate proficiency in C and C++ is a bonus but not required
What the job involves
- Are you looking to work with smart people who are as committed to building great teams as they are to building great products?
- Invoca offers a unique opportunity to make significant contributions to machine learning and data science, particularly in conversation intelligence, marketing, sales, contact centers, and user experience optimization
- Research and build groundbreaking machine learning techniques by leveraging Bayesian methodologies, neural networks, regression models, and other state-of-the-art approaches
- Lead the adaptation and implementation of advanced machine learning techniques to solve customer problems
- Design and implement fine-tuning pipelines for adapting foundation models to domain-specific use cases
- Create efficient data collection and curation workflows for fine-tuning datasets
- Develop RAG architectures that effectively combine LLMs with enterprise knowledge bases
- Design comprehensive evaluation frameworks for fine-tuned models and RAG systems
- Be at the forefront of applying generative AI techniques to conversational data
- Conduct independent research into the latest academic papers to develop innovative solutions for customer problems and to support various use cases within our product offerings
- Refine and advance the mathematical models and algorithms that power our core Bayesian engine
- Write and optimize code using our data science libraries and frameworks
- Provide mentorship and guidance to members of our data platform team, including data scientists, data engineers, software engineers, and product managers
- Document and educate team members on analysis methodologies, models, assumptions, error measurements, data sources, transformations, and tools/processes used in the Invoca Data Science process
- Support diversity, equity, and inclusion initiatives at Invoca
- At Invoca, a Staff Data Scientist is an experienced individual contributor with a focus on solving technical machine learning challenges and mentoring other team members
- Our dedicated data platform team leverages a blend of cutting-edge technology, including our proprietary and patented solutions and tools from leading vendors, to develop an exceptionally scalable data modeling platform
- Our overarching objective is to seamlessly deliver models through our robust API platform, catering to both internal stakeholders and external clients
- Your pivotal role will focus on optimizing model quality and performance
- Ultimately, the models we deliver are consumed directly by our feature engineering teams to deliver new data insights, translating to enhanced value for our customers
Our take
Invoca is an AI-powered call tracking and conversational analytics platform enabling marketing, sales, customer experience, and eCommerce teams to better understand and immediately act on information consumers share via conversations, revealing exactly which campaigns are performing and delivering high returns on investments.
The company is a market leader in AI-powered conversation intelligence, serving leading consumer brands in considered purchase industries like automotive, telecommunications, healthcare, financial services, and real estate. It has continued to add new new capabilities throughout the years since its 2008 founding, to further help brands drive more efficient marketing, faster revenue growth, and better experiences in an increasingly challenging economy.
Through funding raised from several investment organisations, including Silver Lake Waterman and Kingfisher Investment Advisors, the startup has now been branded a Unicorn and is in a prime spot for further growth. Its priority has been to invest in product innovation through both organic development and acquisitions. Also, its recent arrival on Google Cloud Marketplace marks a milestone in the company's growing collaboration with Google, allowing joint customers to power more effective media strategies even more easily as they strive for revenue growth.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
5% employee growth in 12 months
Company
Funding (last 2 of 7 rounds)
Jun 2022
$83m
SERIES F
Oct 2019
$56m
SERIES E
Total funding: $199.8m
Company benefits
- Paid Time Off - 20 days off for all full-time employees, plus 15 paid holidays, 10 days compassionate leave, 3 days volunteer time and more
- Medical, Dental and Vision Coverage
- Mental Well-being & Employee Assistance Program
- Paid Family/Medical Leave - up to six weeks 100% paid leave for baby bonding, adoption, and caring for family members, and up to twelve weeks 100% paid leave for one’s own medical leave
- Invacation (Sabbatical) - an additional week of PTO along with a bonus after seven years of service
- Wellness Subsidy - for gym membership, fitness classes, etc.
Company HQ
Santa Barbara Downtown, Santa Barbara, CA
Leadership
Colin Kelley
(Co-Founder & CTO)Previously worked as the CTO at CallWave and as a Software Architect at Unisys / Pulsepoint.
Rob Duva
(Co-Founder)Co-Founder of Fin & Field. Previously worked at CallWave in multiple roles, including Senior Product Manager and the Director of Customer Acquisitions.
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