Senior Data Scientist
At Jungle Scout, we are on a mission to empower entrepreneurs and brands to grow successful e-commerce businesses, and we provide the industry-leading data, powerful tools, and resources they need. We're growing and we are looking to add a Senior 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 EST - 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 high-level business stakeholders Extract mission-critical insights from datasets Innovate and bring creative ideas to building mission critical customer facing products that depend on data science Work with senior business leaders to identify solutions and best practices Create scalable models that drive business decisions and enable our customers' success Mentor team members in the areas of technical expertise and career building Develop tools to monitor models for evolving performance and accuracy Contribute to best practices around feature extraction, model development, and knowledge sharing among multiple data science teams If your answer is heck yeah!, please read on. You 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 Proven ability to architect data science solutions to complex problems and delivering solutions in customer facing products A solid understanding of machine learning and applied mathematics in the areas of statistics, linear algebra, optimization techniques, etc 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 Experience with deep learning frameworks such as TensorFlow and PyTorch 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 Developing and deploying using Docker 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 Working at Jungle Scout The BEST team. Remote-first culture. International Meetups. Access to Jungle Scout tools & experts. Performance Bonus. Flexible Vacation. Comprehensive Health Benefits & Retirement Program.
Salary Range:
$100K -- $150K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
We're a remote-first company and looking to hire this person anywhere between the EST - 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 high-level business stakeholders Extract mission-critical insights from datasets Innovate and bring creative ideas to building mission critical customer facing products that depend on data science Work with senior business leaders to identify solutions and best practices Create scalable models that drive business decisions and enable our customers' success Mentor team members in the areas of technical expertise and career building Develop tools to monitor models for evolving performance and accuracy Contribute to best practices around feature extraction, model development, and knowledge sharing among multiple data science teams If your answer is heck yeah!, please read on. You 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 Proven ability to architect data science solutions to complex problems and delivering solutions in customer facing products A solid understanding of machine learning and applied mathematics in the areas of statistics, linear algebra, optimization techniques, etc 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 Experience with deep learning frameworks such as TensorFlow and PyTorch 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 Developing and deploying using Docker 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 Working at Jungle Scout The BEST team. Remote-first culture. International Meetups. Access to Jungle Scout tools & experts. Performance Bonus. Flexible Vacation. Comprehensive Health Benefits & Retirement Program.
Salary Range:
$100K -- $150K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
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