Staff Data Scientist

5 months ago

Bengaluru Karnataka, India Clari Full time

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 Team**

The 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 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.

**Responsibilities**:

- 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

**Qualifications**:

- 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
- Flexible working hours and hybrid work opportunities
- Life and accidental coverage
- Mental health support provided by Silver Oak Health
- Pre-IPO stock options
- Well-being and professional development stipends
- 100% paid parental leave
- Discretionary paid time off, monthly ‘take a break’ days, and Focus Fridays
- Focus on culture: Charitable giving match, plus in-person and virtual events

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 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

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