Senior Data Scientist

3 weeks ago

San Diego, California, United States Platform Science Full time
About the Role

We are seeking a highly skilled Senior/Staff Data Scientist to join our team at Platform Science. As a key member of our data science team, you will play a critical role in driving data-driven decision making and expanding the company's data science capabilities.

The ideal candidate will have a strong background in machine learning, statistics, and data analysis, with excellent communication skills and the ability to lead the evaluation, design, and implementation of machine learning models and statistical analyses to support key business objectives.

Key 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
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, 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
What Would be Great
  • Expertise with Looker
  • Experience with Snowflake
  • Experience with Data Build Tool (dbt)
  • Experience with embedded analytics solutions
  • Experience with advanced ML/AI techniques such as deep learning and reinforcement learning
Benefits

Platform Science offers a comprehensive benefits package to its employees, including 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, and six weeks of paid parental leave.

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