This job post is closed and the position is probably filled. Please do not apply. Work for StayWell and want to re-open this job? Use the edit link in the email when you posted the job!
\nWe are looking for a Senior Data Scientist who will support our technology, product, sales, leadership and marketing teams with insights gained from analyzing company data. The ideal candidate is adept at creating, consolidating and using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action. Additionally, the candidate will lead a team of administrators and analysts to create and streamline data creation, retrieval and reporting goals. They must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must have a proven ability to drive business results with their data-based insights. The candidate is also adept at creating corporate wide reporting and analysis using any and all telemetry data available. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.\n\n\n* Strong problem-solving skills with an emphasis on product development.\n\n* Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets.\n\n* Experience working with and creating data architectures.\n\n* Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.\n\n* Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.\n\n* Excellent written and verbal communication skills for coordinating across teams.\n\n* A drive to learn and master new technologies and techniques.\n\n* We're looking for someone with 5-7 years of experience manipulating data sets and building statistical models, has a Master's or PHD in Statistics, Mathematics, Computer Science or another quantitative field, and is familiar with the following software/tools:\n\n\n\n* Coding knowledge and experience with several languages: C, C++, Java,\n\n* JavaScript, etc.\n\n* Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.\n\n* Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.\n\n* Experience using web services: Redshift, S3, Spark, DigitalOcean, etc.\n\n* Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.\n\n* Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, etc.\n\n* Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.\n\n* Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.\n\n\n\n\n\n\nEducation and/or Experience \n\n5-7 years of experience manipulating data sets and building statistical models, has a Bachelor’s or Master's Statistics, Mathematics, Computer Science or another quantitative field. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Data Science, Senior, Marketing and Non Tech jobs that are similar:\n\n
$62,500 — $112,500/year\n
\n\n#Benefits\n
๐ฐ 401(k)\n\n๐ Distributed team\n\nโฐ Async\n\n๐ค Vision insurance\n\n๐ฆท Dental insurance\n\n๐ Medical insurance\n\n๐ Unlimited vacation\n\n๐ Paid time off\n\n๐ 4 day workweek\n\n๐ฐ 401k matching\n\n๐ Company retreats\n\n๐ฌ Coworking budget\n\n๐ Learning budget\n\n๐ช Free gym membership\n\n๐ง Mental wellness budget\n\n๐ฅ Home office budget\n\n๐ฅง Pay in crypto\n\n๐ฅธ Pseudonymous\n\n๐ฐ Profit sharing\n\n๐ฐ Equity compensation\n\nโฌ๏ธ No whiteboard interview\n\n๐ No monitoring system\n\n๐ซ No politics at work\n\n๐
We hire old (and young)\n\n