About you

As a Data Science Intern, you’ll help power Dryft’s decision intelligence engine. Think of yourself as the mastermind in a high performance sports team.

Your highest priority is to work on algorithmic prototypes. This includes prototyping pieces of the core logic for our decision model and using GenAI to process unstructured data. You collaborate closely with our CTO to deliver fast evolutions of these prototypes.

You are right for this role if you consider yourself a strong:

• Builder: You ship code, fast. This also shows in your experience.

• Problem-solver: You can break down complex problems very quickly and find new ways to tackle challenges at the frontier of technology.

• Pragmatic Executer: You don’t have the urge to make everything perfect, but instead focus on getting things done, even if that means using a hack.

Responsibilities

• 🎨 AI Algorithm Development: Research, design, build, deploy, and validate new and existing optimization algorithms and predictive analytics in supply chain that will drive our customers’ growth

• 🛣️ Data Processing: Implement data processing crucial to our core logic (we are moving a lot of data!)

• 🛠 Analysis: Analyse data that depicts the use cases to get a full picture of the context and impact the algorithmic prototypes can have. Utilize statistical and visualization tools to summarize and communicate findings effectively.

Qualifications

• Data Science Excellence:

  • Minimum 3 years of practical experience in data science outside of classrooms

  • Strong understanding of both deterministic and machine learning algorithms

  • Proficiency in working with relational data

  • Experience in writing, debugging, and optimizing model prototypes for both deterministic and stochastic approaches

  • Solid experience with data processing and cleaning

• Frameworks:

  • Advanced Python Skills, specifically knowledge in Pandas, SQL, Pytorch

• Dev Best Practices

  • Familiarity with collaborative workflows, including Git and code reviews

• GenAI Expertise:

  • Proficiency with Vector Databases and chaining LLMs is a plus

What we offer

High upside & ownership

We have paying customers and just raised our seed from leading investors like General Catalyst, Neo, Claire Hughes Johnson (former COO of Stripe), and Jeff Wilke (former Amazon CEO). With this early role, you’ll influence our product substantially and can be part of something big, from day one.

The learning experience of your life

We have a strong feedback culture (daily!) and push each other to do the best work of our lives. We expect you to put up you best work and will push you even beyond that.

Access to the best tech mentors and investors

We are mentored by some of the most impressive technical talent (e.g. leaders from OpenAI, Cognition, Apple, etc.)

Visa and relocation support

We are open to sponsor visa and help you relocate to SF/Bay Area.

Dates, Location & Compensation

• Starting date: As soon as possible

• Minimum Duration: 3 months, ideally 6 months or more

• Long term: Ability to turn into full-time contract upon successful internship completion

• Compensation is competitive and aligned with your experience and location

• Location: Bay Area (with potential remote option)