Remote Jobs at Platform Science

Candidates should possess 3+ years of experience as a Data Analyst, 2+ years of experience with reporting and visualization tools such as Looker, Tableau, or Domo, advanced SQL skills including multiple-table joins, unions, sub-queries, CTE, aggregations, temporary tables, and analytical functions, and a Bachelor’s degree in Mathematics, Economics, Computer Science, Information Management, Statistics, or equivalent experience.

Candidates should possess 5+ years of experience as a Data Analyst, 3+ years of experience with reporting and visualization tools such as Looker, Tableau, or Domo, advanced SQL skills including multiple-table joins, unions, sub-queries, CTE, aggregations, temporary tables, and analytical functions, and technical expertise regarding all things data, including mining, modeling, transforming, cleansing, and validating.

Candidates should possess a Master's or Bachelor's degree in education in the field of (Digital) Marketing or Communication, and approximately 3 to 5 years of experience in a B2B marketing function, with proficiency in emailing platforms, CRM systems, WordPress or other CMS, social media, MS Office, and Adobe's Creative Suite. A familiarity with marketing automation and Google tools (Analytics, Tag Manager, Search Console, etc.) is also required, along with excellent language skills in English …

Candidates should possess 5+ years of operational knowledge of AWS infrastructure, including experience with Azure and GCP, 5+ years of proven scripting abilities in languages such as bash, Python, or Golang, a strong desire to automate and create standard frameworks, 5+ years of Infrastructure as Code experience with tools like Terraform, Terragrunt, and Atlantis, 3+ years of experience with Kubernetes and containerization best practices, particularly with EKS, 2+ years of experience with monit…

Candidates should possess 7+ years of experience in data science or machine learning, with at least 3+ years in mentorship or leadership roles demonstrating the ability to guide and support other data team members and stakeholders. They should have experience leading ML initiatives from conception to production across multiple business domains, a strong understanding of machine learning libraries such as scikit-learn and TensorFlow, and a deep foundation in statistics and applied statistical ana…