Remote Senior/Staff Data Scientist
Platform Science
π΅ $138k-$255k
πRemote - United States
Please let Platform Science know you found this job on JobsCollider. Thanks! π
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 AWSβs 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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