Data Scientist

Sorry, this job was removed at 03:30 p.m. (CST) on Thursday, Nov 21, 2024
Mountain View, CA
Internship
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Software
The AI copilot that takes the friction out of work.
The Role
Who We Are 

Moveworks is the universal AI copilot for search and automation across all your business applications. We give employees one place to go to find information and get support while reducing costs for your business. The Moveworks Copilot is powered by an industry-leading Reasoning Engine that uses a combination of public and proprietary language models to understand employee queries, then build and execute multi-step plans that achieve them. It does this by linking into systems (like ITSM, HRIS, ERP, identity management, and more) with native and custom-built integrations that turn natural language into powerful automations for employees.  

The world’s most innovative brands like Databricks, Broadcom, Hearst, and Palo Alto Networks trust Moveworks to eliminate repetitive support issues, deliver instant knowledge, and empower employees to work faster across applications.

Founded in 2016, Moveworks has raised $315 million in funding, at a valuation of $2.1 billion, thanks to our award-winning product and team. In 2023, we were included in the Forbes Cloud 100 list as well as the Forbes AI 50 for the fifth consecutive year. We were also recognized by the 2023 Edison Awards for AI Optimized Productivity, and were included on Fast Company's Most Innovative Companies list for 2024! 

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 most innovative teams on the planet!

What You Will Do

In this role as a Data Scientist on our forward-thinking team, you will:

  • Employ advanced data science techniques and analytical problem-solving to address complex business challenges. Utilizing data, you'll identify patterns, drive product development, enhance user experiences, and inform strategic decisions.
  • Develop highly abstracted, scalable, and efficient data systems based on a deep understanding of data modeling principles.
  • Dive into large datasets to extract actionable insights, leveraging your extensive knowledge of our products and systems alongside advanced analytic techniques.
  • Construct and maintain robust data pipelines and analytic tools that improve data accessibility, facilitate sophisticated analysis, and support data-driven decision-making across our organization.
  • Generate intuitive data visualizations and dashboards, making complex findings accessible to technical and non-technical stakeholders alike.
  • Document your design rationale, data analysis methodologies, model development, and evaluation outcomes to ensure transparency and reproducibility.
  • Communicate insights, findings, and data-driven recommendations clearly through reports and presentations.
  • Streamline the data ingestion process with automated solutions, ensuring a seamless and reliable flow of data from various sources into our system.
  • Ensure data quality and integrity throughout the lifecycle of our data pipelines.
  • Collaborate closely with other data scientists, software engineers, product managers, and cross-functional teams to align on business needs and deliver insightful, data-based solutions.
  • Explore new tools, techniques, and data sources to continuously innovate and elevate our data analytics capabilities.

What You Bring to the Table

  • A Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. Relevant work experience is a plus.
  • Demonstrated fluency in Python and SQL.
  • Proficiency in statistical modeling, data mining techniques, and a solid foundation in data modeling principles.
  • Understanding principles of ensuring data quality and developing tooling for data integrity.
  • Strong independent problem-solving skills, along with the ability to collaborate effectively as part of a team.
  • Excellent communication skills, capable of translating complex technical concepts into understandable terms for non-technical partners.
  • Experience with Apache Spark, AWS cloud services, GitHub, and Airflow is desirable.

Compensation Range: $135,000 - $165,000

*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.

Moveworks Is An Equal Opportunity Employer
*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.

The Company
HQ: Mountain View, CA
485 Employees
Hybrid Workplace
Year Founded: 2016

What We Do

The Moveworks Copilot unifies every business system, giving employees one place to go to find information and automate tasks, increasing employee productivity by simplifying work. Powered by a genAI infrastructure that leverages the world’s most advanced LLMs and our proprietary MoveLM models, the Moveworks Copilot understands employee requests, devises intelligent plans, then executes actions to get work done across application boundaries.

The world’s most recognizable brands like Databricks, Broadcom, Hearst, and Palo Alto Networks trust Moveworks to automate repetitive support issues, to provide a universal search interface, and for common use cases across different applications. Learn more at Moveworks.com.

Why Work With Us

Company culture is difficult to distill. Sure, we could tell you about our 5-star rating on Glassdoor, or about how we were named to the Forbes AI 50 list. But the truth is that no talking point can capture what it’s like to work alongside this team every day, as we continue to push the boundaries of what’s possible with enterprise AI.

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