Applied Data Scientist

At Jungle Scout, we are on a mission to build the best Amazon competitive intelligence tools for Amazon sellers and brands.

We’re growing and we are looking to add an Applied Data Scientist to our fast-paced and customer-oriented Engineering team.

Location: We’re a remote-first company and looking to hire this person anywhere between the PST - EST timezone in Canada.

Interested in learning more? Let’s get into the details:

In this role, you will:

• Analyze diverse datasets to identify trends and insights that drive business decisions.
• Collaborate with cross-functional teams to translate complex data into actionable strategies and develop predictive models using Python and/or R.
• Refine visualizations and present findings to stakeholders, ensuring clarity and impact.
• Create real-time machine learning models that leverage massive datasets to solve customer challenges and deliver scalable solutions.
• Turn analytical product ideas into reality, from brainstorming and prototyping to scaling in production.
• Perform hands-on analysis, build machine learning pipelines, and evaluate the performance of solutions in real-world scenarios.
• Work closely with engineering to develop and scale effective solutions for production.
• Identify and define new business challenges in Amazon competitive intelligence, focusing on market trends, traffic, and advertising analytics.
• Maintain smooth operations of machine learning systems, ensuring they deliver millions of predictions daily.

You will excel in this role, if you have:

This isn’t your first rodeo! 

To effectively perform this role and achieve the key performance objectives, relevant experience in data science and analytics is essential. A strong background in developing and optimizing predictive models, particularly in sales estimation and product discovery, will enable the individual to identify trends and generate actionable insights. Experience with data manipulation and statistical analysis tools, such as Python, R and SQL, is crucial for analyzing complex datasets. Additionally, familiarity with machine learning techniques and frameworks will be beneficial for building innovative models that enhance product offerings. Prior involvement in cross-functional collaborations will provide the necessary skills to communicate insights clearly and work effectively with diverse teams.

• You’ve got at least 5 years of experience in the industry (or similar) and hold a Master’s or PhD.
• You’re a pro at machine learning best practices and have a solid grasp of statistics.
• You’ve got hands-on experience creating and deploying algorithms and models to production, collaborating closely with machine learning engineers.
• You know how to turn customer needs into data-driven solutions.
• You’re familiar with the software development lifecycle and have worked with version control, CI/CD, and different environments.

Technical Skills:

• Programming Languages: Proficiency in Python and R for data analysis and model development.
• Proficiency with ML libraries: Scikit-learn, Tensorflow, Pytorch, Pandas, 
• Numpy, Scipy, Dplyr, Matplotlib, Seaborn
• Data Manipulation: Experience with SQL for querying databases and handling large datasets.
• Machine Learning: Proficiency with machine learning frameworks.
• Statistical Analysis: Strong understanding of statistical methods and techniques.
• Ability to create insightful visualizations
• Experience with Git for version control and collaboration on code.
• Understanding of experimental design and A/B testing methodologies for product optimization.
• Ability to work with APIs for data retrieval and integration of external data sources.

Interest in Amazon. You have a deep curiosity about data and the Amazon domain.

Resilient & Adaptable. You’re resilient and adaptable, comfortable handling ambiguity, making trade-offs, and tweaking your plans as you learn.

Bonus: 

• You’ve got experience with other AWS services like EC2 and CloudWatch.
• Familiarity with Spark, SageMaker, and S3.
• You’re also comfortable using Jupyter notebooks.

The behavioural skills to thrive in this role:

• Adaptability: Embrace change and be ready to pivot quickly in response to new data, market trends, or shifting priorities.
• Team Player: Thrive in a fast-paced, collaborative environment, working closely with cross-functional teams to make things happen.
• Curiosity: Always ask questions and seek out new tools, methods, or approaches that can push us forward. A mindset of continuous learning and growth is key.
• Problem Solver: See challenges as opportunities. Tackle obstacles head-on with creative, impactful solutions.
• Detail-Oriented: Pay attention to the small stuff. Your precision in data analysis and model development ensures reliability and drives confidence in decision-making.
• Clear Communicator: Whether you're talking shop with engineers or explaining insights to non-technical stakeholders, you're able to break down complex ideas and deliver them in a way that resonates and inspires action.

Jungle Principles:

• #Customer: Focus on building solutions that deliver meaningful value to our users, shaping products that address their needs and improve their experience.
• #Decide: Make informed, data-driven decisions quickly, using analysis and insights to steer development and optimize solutions effectively.
• #Clarity: Communicate findings and complex data insights in a clear, understandable manner to both technical and non-technical stakeholders.
• #Scrappy: Embrace creativity and resourcefulness when solving problems, deploying solutions rapidly and iterating often to drive progress.
• #Excellence: Strive for continuous improvement in model development, ensuring high accuracy, reliability, and cutting-edge performance in all deliverables.

Note: The one constant in our evolving, dynamic environment is change. Needless to say, you’ll never get bored ;) The responsibilities listed above are our needs today but we are keeping future needs & opportunities in mind when hiring for this position. We value adaptability and a growth mindset in team members. Although it’s not promised, the successful candidate should be prepared for the possibility that their role may evolve over time as our business strategies and priorities change.

What you’ll get:

💥The BEST team. You’ll work alongside the smartest, most passionate, and kindest humans day in and day out making work fun.

💥Remote-first culture. Jungle Scout has been remote-first since day one. We believe team members should work from the place where they do their best work. Whether that's working from home, in office at one of our hubs, a co-working space.

💥 A growth culture! We have tons of opportunities for you to elevate your skills and take you to that next step; we are here to help you find the ones that matter most to you through exposure and training.

💥 Ability to make impact! Although it’s a highly collaborative culture, team members are empowered to work autonomously and take extreme ownership of their work. You'll have the opportunity to truly make a difference and impact our customers.

💥 Competitive compensation packages! We structure our compensation packages to reward our team members' contributions to our company's success - you’ll have a bonus tied to performance and will be invested into our long-term success with Equity. 

💥 Flexible Time Off. With our generous PTO and recognition of local holidays, escape to the beach, recharge mentally, or use your Volunteer Time Off (VTO) to give back through volunteering.

💥 Comprehensive Health Benefits & Retirement Program. We offer comprehensive healthcare and retirement matching plans for eligible employees.

💥 Paid Parental Leave Policy. Jungle Scout values the importance of family and offers a paid parental leave that provides the support and flexibility you need to embrace this special time in your life. We also offer a ramp-back period for a seamless transition for you and your family.

About Jungle Scout

Jungle Scout is the leading all-in-one platform for selling on Amazon, supporting more than $50 billion in annual Amazon revenue and 10 global Amazon marketplaces. Founded in 2015 as the first Amazon product research tool, Jungle Scout today features a full suite of best-in-class business management solutions and powerful market intelligence resources to help entrepreneurs and brands manage their ecommerce 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 and Vancouver, BC. We believe team members should have the opportunity to choose the work environment that works best for them, so we give our team members the option of working from home, at one of our hub offices, or from a co-working space.

We prioritize Diversity, Equity, and Inclusion 

At Jungle Scout, we recognize the value of different experiences, backgrounds and cultures. We hire intentionally, with this in mind.

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.