Senior Data Specialist


: $128,740.00 - $128,740.00 /year *

Employment Type

: Full-Time


: Information Technology

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Responsibilities: Collaborate across multiple departments to provide data-driven insights and validate key business assumptions Develop and execute predictive models used to improve customer experience and revenue generation Make recommendations to improve quality and accessibility of data used for future analysis Design A/B testing framework for product-driven decisions Process, clean, and verify the integrity of data used in analysis Work on projects with Customer Success and Engineering to generate and validate accuracy of reports for key clients Meet with external stakeholders to discuss details of results (in-person or video conference call) Develop and maintain automated dashboards outlining key business metrics and their evolution over time Tell the story of business trends, patterns and outliers through comprehensive visualizations Credentials: Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. Rigorous understanding of statistics and ability to discern appropriate statistical techniques to problem-solve 4 years of experience using statistical computer languages, such as R or Python (preferred) 2 years experience working with data science tools, such as Pandas, NumPy, MatLab, Jupyter Notebooks 4 years experience writing SQL queries (Postgresql experience not required, but preferred) 2 years experience working with cloud services, such as Redshift, S3 2 years experience working with larger data sets (> 1TB) and using big data solutions such as Hadoop, Hive, Spark, Storm, MongoDB, Redshift, or Aurora Experience with data visualization tools, such as D3.js, GGplot, Neo4j Superior verbal and written communication skills Genuine passion to work in the Digital Health space BS or higher in quantitative field (exceptions may apply) Prior experience as a business analyst is a big plus * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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