Lambda's GPU cloud is used by deep learning engineers at Stanford, Berkeley, and MIT. Lambda's on-prem systems power research and engineering at Intel, Microsoft, Kaiser Permanente, major universities, and the Department of Defense.

If you'd like to build the world's best deep learning cloud, join us. 

What You’ll Do

• Data Modeling: Develop and maintain data models, ensuring data accuracy, consistency, and integrity, and implement best practices for data management and governance

• Data pipelines: Develop, test, and optimize data pipelines to support accurate data transformation and data structures for various analytic needs

• Data Visualization: Create visually compelling and easy-to-understand dashboards, reports, and presentations to effectively communicate complex analytical findings to stakeholders, including senior management

• Data Analysis: Conduct thorough analysis of large and complex data sets to identify trends, patterns, and insights that can drive business decisions and improve operational efficiencies

• Data Quality Assurance: Collaborate with cross-functional teams to establish data quality standards, validate data accuracy, and identify and address any data quality issues or inconsistencies

• Forecasting and Predictive Analysis: Utilize statistical modeling and predictive analytics techniques to develop accurate forecasts, predictive models, and data-driven projections to guide future business planning and decision-making

• Stakeholder Collaboration: Work closely with various departments and teams, including finance, marketing, operations, and product development, to understand their analytical needs and provide actionable insights to support their objectives

• Continuous Improvement: Stay up-to-date with industry trends, emerging technologies, and best practices in data analysis, and proactively recommend and implement process improvements to enhance the efficiency and effectiveness of data analysis methodologies

You

• Have a bachelor's degree in Computer Science, Engineering, Business Analysis or a related field
• Have 3+ years of experience in analytics engineering, data engineering, or a senior analyst role (or equivalent experience in a graduate program)
• Are very fluent in SQL. You have intermediate to advanced proficiency in SQL, understanding fundamentals of database design, subqueries, CTEs, window functions, and ability to read and deconstruct others’ code
• Know your way around ETL pipelines, basics of API queries, and have experience with one or more ETL tools (e.g. Fivetran, Matillion, Databricks)
• Work often with a cloud data warehouse (e.g. Google BigQuery, Snowflake, AWS Redshift)
• Are proficient a data visualization tool (e.g. Tableau, Looker, Power BI) to the point where you can mentor business users and junior teammates confidently
• Have strong problem-solving abilities and analytical skills, with an attention to detail
• You are looking to move out of your data comfort zone and be a jack of all trades and a data thought leader in an organization
• You love being part of an organized team that works in a fast-pace deadline-driven environment and minimal supervision

Nice to Have

• A Master's degree in business analytics, statistics, computer science, or similar technical data-relevant graduate degree
• Experience with medallion data architecture [bronze/silver/gold]
• Experience in Python or R to analyze datasets, especially to create predictive models
• Demonstrated ability to collaborate with cross functional teams and work directly with business stakeholders on projects (e.g. executives, sales, product, engineering, supply chain)
• Demonstrated ability to be detail-oriented and identify inconsistencies and quality issues in datasets
• Experience with building data models in DBT
• Experience working with Gitlab (e.g. repositories, merges, code reviews)
• Experience helping maintain a cloud data tool a plus (e.g. maintaining user accounts, permissions, storage, performance, or cleanliness in a cloud data warehouse or data viz tool)

About Lambda

• We offer generous cash & equity compensation
• Investors include Gradient Ventures, Google’s AI-focused venture fund
• We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitability
• Our research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
• We have a wildly talented team of 130, and growing fast
• Our remote workforce, based on role, is across the U.S., with headquarters in San Jose, CA
• Health, dental, and vision coverage for you and your dependents
• Commuter/Work from home stipends
• 401k Plan
• Flexible Paid Time Off Plan that we all actually use

Salary Range Information 

Based on market data and other factors, the salary range for this position is $110,000 - $140,000. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. 

A Final Note:

You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.

Equal Opportunity Employer

Lambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.