Clari’s Revenue platform gives forecasting accuracy and visibility from the sales rep to the board room on revenue performance - helping them spot revenue leak to answer if they will meet, beat, or miss their sales goals. With insights like this, no wonder leading companies worldwide, including Okta, Adobe, Workday, and Zoom use Clari to drive revenue accuracy and precision. We never get tired of our customers singing our praises because it fuels us to help them continue to achieve remarkable. The next generation of revenue excellence is here…are you ready to achieve remarkable with us?
About the Role
We are looking for a talented Staff Data Scientist with a deep expertise in Natural Language Processing to help unlock information hidden within sales calls. You will be developing machine learning models and data engineering approaches to drive forecasting capabilities for key revenue metrics. The bulk of the work will be in the realm of natural language processing and LLMs will be an important tool in your arsenal. You will be engaged in an end-to-end cycle from ideation/experimentation to productization and be able to observe how the model performs in production over time and over hundreds of customers. The products you build will be used by many of the most well-known companies in the world.
Work with the product team to understand key high-value problems in the enterprise sales productivity and be able to advise them on feasibility and limitations of possible approaches
Serve as a senior technical advisor to the management in the domain of machine learning and statistical methods
Lead the evaluation of various machine learning models and qualify their suitability to a specific analytics problem
Lead development of ML algorithm-based product features, which includes considerations of deployment, scalability, observability and rollout
Maintain post-production ownership of ML modules incorporated into the product
Provide feedback on best practices. Advise on necessary investments to increase efficiency of the Data Science team
6+ years of ML/data science experience, demonstrating high aptitude in solving complex analytical problems in the NLP domain
6+ years experience in delivering ML-based products and managing them in a production environment
Deep knowledge of machine learning (e.g. nlp, deep learning, ensemble methods, regression methods, time series analysis, llms, transfer learning) and statistical methods
Ability to communicate technical ﬁndings based on complex quantitative analysis in a clear, precise, and actionable manner
Expert knowledge of Python and standard ML frameworks such as PyTorch, TensorFlow, or Keras
Knowledge of analysis tools and packages such as NumPy and SciPy
Experience with end-to-end ownership of ML features, including productization, continuous performance monitoring and ongoing improvements
Understanding of architecture consideration, performance, parallelization, robustness, cost and fault mitigation
Knowledge of SQL (e.g. Postgres, MySQL) and NoSQL databases (e.g. MongoDB)
Experience managing the model lifecycle with tools like SageMaker or MLflow is a plus
K8S familiarity is a plus
You’ll often hear our CEO talk about being remarkable. To Clari, remarkable means many things. We believe in providing interesting and meaningful work in a nurturing and inclusive environment. One that is free from discrimination for everyone without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, or veteran status. Efforts have to be recognized. Voices have to be heard. And work-life balance has to be baked into the very fiber of the company. We are honored to be recognized by Inc. Magazine and Bay Area News Group as a best place to work for several years running. We’d love to have you join us on our journey to remarkable!
If you feel you don’t meet 100% of the qualifications outlined above, we want you to apply! Clari believes in hiring people, not just skills. If you are passionate about learning and excited about what we are doing, then we want to hear from you.
Clari focuses on culture add, not culture fit. One of our values is One with Customers, and we know we can serve them better when we involve as many different perspectives as possible. Our team is made stronger by what makes you unique, so we hope you’ll bring your whole self to the job.