Staff Data Scientist

Location: Remote

*** Mention DataYoshi when applying ***

Did you know that Jungle Scout collects and processes over 20TB of data every day?

Are you interested in leveraging this data to create new customer-facing data products using cutting edge tech?

Would you like to have the freedom to pitch new product ideas, take ownership and contribute to the company roadmap?

Are you ready to help put these products in front of customers in weeks, not months?

Amazing, then you’re the type of person we’re looking for!

At Jungle Scout, we are on a mission to empower entrepreneurs to be successful Amazon sellers. We work hard, keep it real and do it all for our customers by providing industry-leading products, education, and content.

We’re growing and we are looking to add a Staff Data Scientist to our fast-paced and customer-oriented Engineering team. We’re a remote-first company and looking to hire this person anywhere between the CST - PST timezone.

Interested in helping us innovate and build industry-leading data-driven products for our customers? Let’s get into the details:

In this role, you will:

  • Work with stakeholders throughout the company to source opportunities for creating data-driven products
  • Regularly present and communicate insights to stakeholders
  • Extract mission-critical insights from datasets
  • Create scalable models that drive business decisions and enable our customers’ success
  • Develop tools to monitor models for evolving performance and accuracy

If your answer is “heck yeah!”, please read on….

In will excel in this role, if you have:

  • Been in the Data Science game for some time. You either have a PhD and 3 years of experience or your Masters and 5 years of industry experience.
  • Experience solving nebulous problems using a systematic, analytical approach
  • A solid understanding of machine learning and statistics
  • Strong programming skills in Python
  • A strong command of SQL and working with multiple relational databases and data warehouses (Redshift, Postgres, Athena, Snowflake, etc…)
  • Experience in end to end machine learning project life cycle
  • The ability to communicate insights through visualizations using libraries such as matplotlib, seaborn, plotly, etc…
  • Experience working with unstructured data
  • Are scrappy when extracting useful insights with partial data
  • A solid experience in working with software development teams and using source version control tools like Git

Bonus points, if you have experience:

  • Analyzing big datasets using tools such as Apache Spark
  • Analyzing time-series data
  • Developing and deploying using Docker
  • With deep learning frameworks such as TensorFlow and PyTorch
  • With some of the AWS services (e.g. EC2, S3, Sage Maker, Cloudwatch)
  • On frameworks for in-production ML code (e.g. Kedro)
  • With accessing data from other datastores in the AWS ecosystem such as ElasticSearch, S3, and DynamoDB
  • Deploying machine learning models in production before

Working at Jungle Scout

  • The BEST team.
  • Remote-first culture.
  • International Retreats.
  • Access to Jungle Scout tools & experts.
  • Performance Bonus.
  • Flexible Vacation.
  • Comprehensive Health Benefits & Retirement Program.

We prioritize Diversity, Equity, and Inclusion

At Jungle Scout, we hire great people from a wide variety of backgrounds, not just because it’s the right thing to do, but because it makes our company stronger.

Jungle Scout is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

All offers of employment at Jungle Scout are contingent upon clear results of a comprehensive background check. Background checks will be conducted on all final candidates prior to start date.


*** Mention DataYoshi when applying ***

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