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 TeamThe Engineering Team at Clari is deeply committed to building an enterprise-grade platform that serves as the backbone for our customer's most critical business process - Revenue. With an unrelenting commitment to innovation, our mission is to craft the ultimate revenue intelligence platform for our customers. Rooted in Agile principles, we foster a culture of adaptability and efficiency across all our teams. If you're energized by the prospect of contributing to a dynamic environment that emphasizes collaboration, continuous improvement, and leveraging the forefront of technology to address customer needs, we would love to meet you.About the RoleWe 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.ResponsibilitiesWork 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 approachesServe as a senior technical advisor to the management in the domain of machine learning and statistical methodsLead the evaluation of various machine learning models and qualify their suitability to a specific analytics problemLead development of ML algorithm-based product features, which includes considerations of deployment, scalability, observability and rolloutMaintain post-production ownership of ML modules incorporated into the productProvide feedback on best practices. Advise on necessary investments to increase efficiency of the Data Science teamQualifications6+ years of ML/data science experience, demonstrating high aptitude in solving complex analytical problems in the NLP domain6+ years experience in delivering ML-based products and managing them in a production environmentDeep knowledge of machine learning (e.g. nlp, deep learning, ensemble methods, regression methods, time series analysis, llms, transfer learning) and statistical methodsAbility to communicate technical findings based on complex quantitative analysis in a clear, precise, and actionable mannerExpert knowledge of Python and standard ML frameworks such as PyTorch, TensorFlow, or KerasKnowledge of analysis tools and packages such as NumPy and SciPyExperience with end-to-end ownership of ML features, including productization, continuous performance monitoring and ongoing improvementsUnderstanding 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 plusK8S familiarity is a plusPerks and Benefits @ Clari IndiaFlexible working hours and hybrid work opportunitiesLife and accidental coverageMental health support provided by Silver Oak HealthPre-IPO stock optionsWell-being and professional development stipends100% paid parental leaveDiscretionary paid time off, monthly ‘take a break’ days, and Focus FridaysFocus on culture: Charitable giving match, plus in-person and virtual eventsYou’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 supportive and inclusive environment - free from discrimination for everyone without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, or veteran status. Clari focuses on culture add, not culture fit, and believe we are made stronger by what makes you unique. If you are passionate about learning and excited about what we are doing, then we want to hear from you!Apply for this job