2020-06-26 Data Scientist - Jungle Scout

Tags: jd JungleScout DataScientist

Data Scientist - Jungle Scout - Career Page

Archived page Data Scientist - Jungle Scout

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?

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

Does that get you absolutely pumped?

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.

Where would this person be located? Great question! We have offices in Austin, TX, Vancouver, BC and Shenzhen, China now (yay!). So if you are located in Vancouver or Austin - we would love to have you join our office! Jungle Scout started remotely and we try to hire remotely when we can. We are open to hiring the right candidate remote as well.

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

What you’ll do:

• 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….

Who you are:

• Masters (Ph.D preferred) or an extensive background in analytical work
• 2+ years of experience working in a data science role outside of academia
• Familiarity with writing high-quality Python code
• Exposure to machine learning tools and frameworks such as, but not limited to Pandas, scik it-learn , NumPy? and SciPy?
• Experience solving nebulous problems using a systematic, analytical approach
• Strong command of SQL and working with multiple relational databases and data warehouses (Redshift, Snowflake, Postgres, MySQL?, etc…)
• Ability to be scrappy with extracting useful insights with partial data
• Ability to apply modeling techniques and machine learning methods (Bayesian statistics, OLS regression, GLMs, logistic regression, network analysis, clustering, decision trees/random forest, dimensionality reduction, neural networks, etc…)
• Able to communicate insights through visualizations using libraries such as matplotlib, seaborn, plotly, etc…
• Approach problems with a customer-centric lens

Bonus points:

• Some experience with analyzing time-series data
• Familiarity with analyzing big datasets using tools such as Apache Spark
• Some experience with R and related machine learning libraries
• Additional experience with deep learning frameworks such as TensorFlow? and PyTorch?
• Experience with accessing data from other datastores in the AWS ecosystem such as ElasticSearch?, S3, and DynamoDB?
• Exposure to working with software development teams and using tools such as Git, GitHub?, and Zenhub

Who we are:

Jungle Scout is the leading all-in-one tool for selling on Amazon, with the mission of providing powerful data and insights to help entrepreneurs and brands grow successful Amazon businesses.

The Jungle Scout team is a group of smart, motivated, and fun-loving professionals working hard to help our customers achieve success. We have a remote-first culture with employees across the world as well as in our hub offices in Austin TX, Vancouver BC and Shenzhen China. We believe team members should have the opportunity to choose the work environment that works best for them. Team members have the option of working from home, at one of our hub offices, or from a co-working space.

We offer workplace flexibility, competitive compensation packages, 401K/RRSP matching, generous vacation, and professional development to help you thrive in your career. The entire Jungle Scout team also gathers for annual all-expenses-paid retreats — past locations have included Bali, Bangkok, Vietnam, Budapest, Mexico, Colombia, and Costa Rica.