Data Scientist

Data Scientist

In the two part blog “How AI finally learned to triage IT support issues” (part I / part II), we discussed Moveworks’ approach leveraging deep learning to effectively route IT issues. Since then, we’ve furthered our investment in LLM-based models to improve performance and scalability of our in-house triage system. We are now seeking a seasoned Data Scientist to help shape the future of enterprise ticket routing.

The ideal candidate will have a strong background in modern machine learning stack, natural language processing, and hands-on experience with large language models. In addition, ability to push production code with sound engineering fundamentals would be nice to have.You will collaborate closely with a vibrant cross-functional team (ML engineers, product managers, and data engineers).

If you are looking to apply state-of-the-art NLP/ML techniques to enterprise SAAS products, we have the opportunity for you. 

Who we are

Moveworks is on a mission to make language the universal UI. We give enterprises a conversational interface that works across every system — from Microsoft to Workday to Salesforce. Powered by GPT-class machine learning models, the Moveworks platform learns the unique language of each organization to solve thousands of use cases.

Brands like Databricks, Broadcom, DocuSign, and Palo Alto Networks leverage Moveworks’ proprietary enterprise data, out-of-the-box solutions, and intuitive developer tools to bring conversational automation to all aspects of their business.

Founded in 2016, Moveworks has raised $315 million in funding, at a valuation of $2.1 billion. We’ve been named to the Forbes AI 50 list for five consecutive years while earning recognition as the winner of the 2023 Edison Awards for AI Optimized Productivity, and as the Best Bot Solution at the 2022 AI Breakthrough Awards. 

Moveworks has over 500 employees in six offices around the world, and is backed by some of the world's most prominent investors, including Kleiner Perkins, Lightspeed, Bain Capital Ventures, Sapphire Ventures, Iconiq, and more.

Come join one of the fastest growing teams on the planet!

What you will do:

• Demonstrate proficiency in NLP techniques and models such as BERT, Transformers, GPT to train and improve current ML models.
• Motivated to improve the scalability of triage models through MLops and self-serving tools.
• Utilize continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure the successful deployment of ML models and application code.
• Collaborate with data engineers to build scalable and robust data pipelines to support key business metrics, customer-facing dashboards or model training.
• Investigate and improve model performance with sound analytical approaches.
• Apply quantitative methods and curate relevant data sets to address challenges in different components of the Triage system.
• Drive projects forward by forming close collaborations with cross-functional partners to reach the end deliverables, such as production-grade models or analyses that shape the technical vision.

Who you are:

• You have advanced degrees in Math/Statistics, Engineering, Physics, Computer Science, Economics, or equivalent practical experience.
• You have strong experience in NLP and LLM models and have experience in applying them to real-world problems.
• You have 3+ years of experience solving real-world problems using quantitative approaches and machine learning.
• You have excellent analytical skills and are able to provide cross-functional teams with data-driven insights.
• You have expertise in programming skills (e.g. Python or R), visualization, SQL, data modeling, ETL, and data warehousing concepts.
• You are comfortable proposing engineering enhancements/changes.
• You are comfortable with ambiguity and able to thrive with minimal oversight and process.
• You are an effective communicator; and you empathize with customers and stakeholders to build meaningful relationships.
• You are curious and bring genuine excitement to learn new subject areas and are comfortable to be scrappy when needed.
  
  
  

Our compensation package includes a market competitive salary, equity for all full time roles, exceptional benefits, and, for applicable roles, commissions or bonus plans.

Ultimately, in determining pay, final offers may vary from the amount listed based on geography, the role’s scope and complexity, the candidate’s experience and expertise, and other factors.

Equal Opportunity Statement:

Moveworks is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other characteristics protected by law.