Senior Data Scientist

At Cleanlab you’ll get to

Help companies across all industries solve their Data/AI/Analytics challenges using novel Data-Centric AI technology invented by our team.

Help develop new capabilities for our Data-Centric AI platform that can automatically diagnose/fix issues in most image, text, structured/tabular datasets. Our software uses AI to increase the value of a company’s existing data (i.e. their core asset).

Learn about interesting data science problems that customers are grappling with, and prototype effective solutions. See the direct impact of your work to help close 6-7 figure sales deals.

Publish innovative blog posts and open-source code.

What we’re looking for

Are you an expert in the Python data science ecosystem (eg. Jupyter, pandas, sklearn, huggingface, langchain, cleanlab) and working with massive databases and cloud data stores (eg. SQL-optimization, Spark, Databricks, AWS, GCP, Azure)?

Are you an excellent communicator, i.e. a strong writer who is excited to meet with enterprise customers and support them?

If your answer to all the above is a resounding Yes and you have 5+ years experience doing these things in industry, then we’d love to have you join our team and help build the future of Data-Centric AI!

The best candidates will be extremely strong in: coding, data science, the modern Data/AI stack, and will simultaneously love working with people and supporting them.

Responsibilities

• Work with our customers and help them solve their data science problems using Cleanlab technology (across all data types / industries / ML problems).
• Prototype new capabilities for our Data-Centric AI platform and get early feedback from customer.
• Publish blogposts, tutorials, and other public content to help all other teams solve similar problems as the ones you are working on.

Note: this role is not a traditional Data Science position, you will also work in Customer Success as a Solutions Architect helping our customers develop solutions to their Data/AI challenges. This job will be approximately: 20% sales demos, 20% customer success (answering customer questions), 30% data scientist (analyzing data and sharing results), 30% solutions architect (building prototype solutions, fixing problems in customer solutions).

Qualifications

This is a senior role! Candidates must have at least 5+ years industry work experience as a Data Scientist or Solutions Architect.

• Python (pandas, scikit-learn, numpy, Jupyter)
• Databases and other data stores (e.g. Databricks, Snowflake, Redshift)
• AWS
• Git

Bonus Qualifications

We will favor candidates that are:

• Experienced working in a Solutions Architect style role dealing with datasets from other (big) companies and solving their data science challenges.
• Knowledgeable about enterprise sales cycle and effective customer success.
• Full-stack data scientist with ability to develop high-quality software (not just doing modeling) and properly productionize it (eg. Docker, CI/CD) in cloud environments (eg. AWS, Sagemaker).
• Have PhD in data-related discipline or authored well-read blogs/articles or popular Github repos.

Bonus skills:

• Sagemaker, MLflow
• Databricks, Snowflake, Redshift
• ELT/ETL tools
• Cleanlab or other data-centric AI tools
• LangChain
• Benefits

Working at Cleanlab is awesome! Beyond the opportunity to work at a well-funded AI startup with an incredible, friendly founding team of MIT graduates, all full-time employees receive the following:

• Annual travel stipend
  • Travel enhances our empathy with different cultures and enables us to work together more effectively. It’s how we grow and learn: traveling is an essential part of what makes us human. At Cleanlab, every two months you will receive a reimbursable travel benefit. This is a unique benefit that lets you work from Paris for a week in February, then take a backpacking trip in the Andes for a weekend in March.
• Premium health insurance (+ dental and vision)
  • We provide a fantastic $4 (we cover the rest) health insurance option. We also provide a $0 deductible 100% coverage premium health care option for those who prefer the best health insurance.
• Stipend for attending conferences to keep up with the latest innovations in ML and software.
• Competitive salary (+ equity offering for certain roles), with regular opportunities for a raise if things are going well.

About Us

Prior to Cleanlab, our founders (3 ML PhDs from MIT) worked at OpenAI, Google, Microsoft, Amazon, AWS, Facebook AI Research (FAIR), Dropbox, Oculus, Palantir, NASA, General Electric, MIT Lincoln Laboratory, MIT, Harvard, and Stanford – at every place we worked we repeatedly encountered the same issue – AI solutions failed to work reliably on real-world, human-centric data due to label errors and poor data quality. So, we spent eight years of PhD research at MIT inventing a new field to solve this problem and after successful pilots with world-leading organizations, Cleanlab emerged.

Everything we do at Cleanlab is guided by our north star – to improve the world’s ML data more easily and quicker than any other solution – enabling AI systems to train more reliably on real-world, messy, error-prone data. We develop next-generation data-centric AI, open-source algorithms and provide no-code SaaS enterprise solutions to help individuals and teams at companies (across all industries) diagnose/fix issues in their datasets and produce more reliable ML models by providing clean labels for training.

While many companies can help store/manage data or develop ML models, there exist few solutions today to improve the quality of existing data, which is the core asset of the modern enterprise. This is where you come in. At Cleanlab, you’ll be able to take ownership of critical projects that pioneer the future of data-centric AI.

We are a hybrid company, with over half of our team (and office) located in San Francisco.

Read about the Cleanlab team here. Read how Cleanlab went from MIT PhD research to tech used by Amazon, Google, etc here. See what Google, Tencent, and other Cleanlab users think here.