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Data Scientist and Machine Learning

1 month ago


Vancouver, Canada Jungle Scout Full time
p>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.Collaborate with cross-functional teams to translate complex data into actionable strategies and develop predictive models using Python and/or R.Create real-time machine learning models that leverage massive datasets to solve customer challenges and deliver scalable solutions.Perform hands-on analysis, build machine learning pipelines, and evaluate the performance of solutions in real-world scenarios.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.

To effectively perform this role and achieve the key performance objectives, relevant experience in data science and analytics is essential. 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. br/>
  • 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.
  • 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.
  • 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. You have a deep curiosity about data and the Amazon domain.
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.