Remote Senior/Staff Data Scientist

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Platform Science

πŸ’΅ $138k-$255k
πŸ“Remote - United States

Job highlights

Summary

Join Platform Science as a Senior/Staff Data Scientist to lead the evaluation, design, and implementation of machine learning models and statistical analyses to support key business objectives.

Requirements

  • 5+ years of experience in a data role, with at least 4 in a data science role
  • 2+ years of experience with reporting and visualization tools such as Looker, Tableau, Domo etc
  • Experience in mentorship or leadership roles, with the ability to provide guidance and support to mid-level data scientists
  • Deep understanding of machine learning libraries (scikit-learn, tensorflow, etc.) and algorithms
  • Advanced knowledge of statistics and experience using statistical packages for analyzing datasets (Python, numpy, pandas, R, etc.)
  • Experience with experimental design and determining the statistical significance of analyses
  • Experience with AWS’s data services such as Sage Maker, S3,Β  EC2, Lambda, etc
  • Expert SQL skills including multiple-table joins, unions, sub-queries, CTE, aggregations, temporary tables, and analytical functions
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Ability to take vague requests and transform them into concise deliverables at a level of detail appropriate to the target audience, with attention to detail and accuracy
  • Demonstrated expertise in establishing machine learning pipelines from scratch
  • Excellent communication skills, both verbal and written
  • BS in Data Science, Statistics, Mathematics, Economics, Computer Science, Information Management or equivalent experience

Responsibilities

  • Conduct comprehensive evaluation of ML opportunities and summarize findings and recommendations to address business use cases and inform the data science strategy
  • Collaborate with other Data Science team members and Product leaders to define the data science strategy and roadmap for Platform Science
  • Utilize advanced data mining and machine learning techniques, such as natural language processing, deep learning, and neural networks, to solve complex business problems
  • Leverage our modern data stack (dbt, Snowflake) to filter, clean, and transform data from a variety of sources
  • Work closely with our product and engineering teams to help address their questions and goals with analytics and data science solutions
  • Communicate findings and recommendations to stakeholders in a clear and concise manner
  • Contribute to the development of the company's data science capabilities, including implementing best practices and processes
  • Mentor and provide guidance to mid-level data scientists to help them grow and develop their skills

Benefits

  • Medical, dental, and vision insurance
  • Short-term and long-term disability insurances
  • AD&D and life insurance
  • 401k plan
  • Paid vacation, sick leave and holidays
  • Six weeks of paid parental leave

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