Dataherald

Helping people see and understand the world’s data

Data Science and Engineering Fall 2022 Internship

Location
Los Angeles, CA / Remote
Job Type
Internship
Connect directly with founders of the best YC-funded startups.
Apply to role ›
Anuj Saigal
Anuj Saigal
Founder

About the role

Dataherald is a Y Combinator backed SaaS start-up which helps companies, no matter how big or small, better leverage the world’s data to create business value. We do this by providing a no-code software to automate the ingestion, transformation, analysis and visualization of data from multiple sources without ever needing to code. Our product manages the data needs end-to-end so that businesses can focus on their goals without worrying about the complexity of large datasets. Dataherald was launched in 2020 and has grown 10x in the last year. We currently work with leading media publishers like Chicago Tribune, Sacramento Bee etc. and are backed by a mix of Silicon Valley and media institutions such as Y Combinator, Bertelsmann Digital Media Investments (BDMI), and Garage Technology Ventures.

About the Role

The Data Science and Engineering intern will work closely with the CTO and Founding Data PM and play a key role in developing the company's data practice. In this role, you will: Propose and own machine learning and statistics projects, both internal and external Identify and investigate new data sources to add to our application Build and maintain dynamic data ingestion pipelines Curate DataFeeds (custom visualization templates) for users to ingest piped data Modernize the current data infrastructure

Skills

  • Python/Spark for data pipelining
  • Python packages for machine learning and statistical analyses
  • Advanced SQL querying
  • Organization and time management
  • Self-starter
  • Attention to detail
  • Desire to be a big part of a small team
  • Strategic problem solving

Qualifications

  • Either recent graduate or currently enrolled junior/senior in a college/university
  • Demonstrated interest in technical development at a tech startup
  • Strong analytical, decision making & problem solving skills
  • Ability to independently work in a fast paced environment
  • Excellent written, verbal & interpersonal skills
  • Execution oriented mindset - with the humility, drive, and scrappiness to get it done
  • Previous experience in a technical role is a plus

Why us?

Impact – We will not make you work on tasks which are low priority and meaningless. You will be making a real contribution to our growth from day 1 and the work you do will have clearly visible and quantifiable results.

Learn – This opportunity is like no other when it comes to learning how to grow a start-up from scratch. We have a trial-and-learn mindset when it comes to growth and are doing many things in parallel without the fear of failing. So roll-up our sleeves and get in the action!

Flexibility – We are a highly distributed company and believe in asynchronous work rather than long monotonous meetings. You get to work from wherever you want and choose your own timings which make you comfortable.

Fun – There is one thing we take extremely seriously at work and it is having fun while working. Because why else would someone work at a startup? 😜

You're going to have a blast, our team is the absolute best!!

About the interview

Thank you for taking the time to learn more about Dataherald’s interview process. Here at Dataherald, we’re looking for data science and engineering interns who combine sound technical skills with a strong sense of ownership and autonomy. The interns will work closely with the CTO and Founding Data PM on a very small, agile team.

Our interview process is designed to find these kinds of interns. Moreover, we try to ask questions that are relevant to the work we do daily -- mostly data pipelining and SQL querying. In most cases, the interview process we have is language agnostic, as we offer the opportunity to learn our stack.

Below is what to expect in our interview process. If you have questions, email us at ainesh@dataherald.com

Technical Screen

Our initial screen is intended as a first pass to assess basic programming skills.

  • Data Science Basics: We may ask questions around some basic data science algorithms and principles.
  • Statistics: We may ask you to apply statistical methods to defined problems.
  • Coding: We will pose coding problems to test your programming ability.

You'll be using your own computer, and using whatever language/environment you are most comfortable with. You’re also free to Google for syntax. We believe this helps developers feel more comfortable during the process, and avoids any learning curve or limitations of 3rd party platforms (Coderpen, etc.).

Technical / Fit Interview

The interview process is a deeper dive into technical abilities and overall fit. For the “fit” portion, we are again looking for ownership and autonomy, but we also dig deeper into communication. This is evaluated throughout the process -- in how you communicate your approach, solutions and overall thinking.

Timing

The typical interview process takes two weeks from start to finish. This tends to be mostly based on our Engineering team’s availability. That said, we have moved more quickly and look to accommodate candidates who might have a short timeline or competing offers. The more information you can share about your situation and where you are in the process, the more we can either attempt to expedite/match, or save you time if we cannot.

Why you should join Dataherald

Dataherald provides no-code, ready-to-use data visualizations for enterprises.

We are a Y Combinator backed SaaS start-up that helps companies, no matter how big or small, better leverage the world’s data to create business value. We do this by providing a no-code software to automate the ingestion, transformation, analysis and visualization of data from multiple sources without ever needing to code.

Dataherald
Founded:2019
Team Size:6
Location:Los Angeles, CA
Founders
Anuj Saigal
Anuj Saigal
Founder
Amir Zohrenejad
Amir Zohrenejad
Founder