Analytics Engineer

Lambda's GPU cloud is used by deep learning engineers at Stanford, Berkeley, and Carnegie Mellon. 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

• Use your business acumen to ask and answer questions in all areas of the business including strategy, supply chain, sales operations, fraud analysis, product management and more
• Support top level projects like new feature releases, fundraising, and marketing launches with data-driven intelligence
• Collaborate with engineers, integrations engineers, and tool administrators to implement and improve data schemas and make data architecture decisions
• Participate in monthly business reviews to research hypotheses and trends
• Help with ad hoc requests from across the business and collaborate on a kanban board with teammates
• Design, develop and implement data pipelines for data ingestion and transformation
• Build and maintain data models in a DBT Github repository in a medallion data warehouse used by the entire organization
• Collaborate with business leaders to understand their analytical needs
• Develop automated data quality checks and monitoring processes
• Maintain a data catalog and train the organization on data interpretation and discoverability
• Use your knowledge of Python to automate and build scripts that support business processes
• Use your knowledge/interest in ML to develop scoring systems for customer behavior, marketing leads, fraud analysis, and more

You

• Have a bachelor’s degree in a business decision making discipline (e.g. marketing, supply chain, strategy, economics, or similar) or a technical degree (computer science, analytics, or similar) that equips you to intersect business intuition with technical skills
• Have 2+ years of broad experience as an Analytics Engineer, Sr Data Analyst, or Data Engineer Role
• Are interested in being part of a small super-versatile data team that does data engineering, data analysis, and data science at different times and different levels
• Are willing to roll up your sleeves and do architecture or data cleaning work when it creates value for the business; you are not just a model trainer or Tableau charter
• Are a SQL expert comfortable in optimizing queries and training less technical peers
• Have demonstrated experience with data warehousing, database design, and data modeling concepts
• Understand ETL, can maintain FiveTran or a similar ETL tool, as well as use Python or similar to write your own ETL scripts as needed
• Have fundamental knowledge of Python or another coding language to automate and build internal data tools for business use
• Can show on your resume and in your interview that you have led projects that drove business value or answered business questions
• Are an outstanding written and verbal communicator who is comfortable collaborating with executives and heads of business departments
• Have advanced data visualization skills; your deliverables are appealing, informative, and impress business leaders

Nice to Have

• Advanced degree in quantitative field
• Familiarity with cloud-based data platforms (e.g. Snowflake, BigQuery)
• Experience with deploying scheduled scripts in Google Cloud Functions or AWS Lambda
• Have intermediate knowledge of Python for data manipulation and data cleansing (e.g. Pandas, NumPy, Matplotlib and similar)
• Basic knowledge and interest in machine learning (e.g. decision trees, cluster analysis, support vector machines) and ability to interpret output in business language
• Experience with physical product, manufacturing, and supply chain demand planning
• Experience with an accounting system, e.g. Netsuite or accounting principles
• Working knowledge of APIs and endpoints to collaborate with engineers and integrations engineers to develop new data sources as needed
• Experience building or maintaining data orchestration tools (Airflow, DBT Cloud or similar)

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 200, and growing fast
• Health, dental, and vision coverage for you and your dependents
• Commuter/Work from home stipends
• 401k Plan with 2% company match
• 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.