Senior Data Scientist
About The Position
We are looking for data scientists to analyze large data sets (we’re collecting billions of individual actions every month), build models and ship products that enable businesses to grow faster and communicate with their customers. Our background as a team is building these models for the Fortune 50 and we want to democratize and open up that technology to everyone. The ideal candidate has a background in data science, statistics and machine learning and has done work ranging from exploratory analysis to training and deploying models. We use a wide variety of data mining and machine learning algorithms. The right candidate will have both a solid fundamental understanding and deep practical experience with at least a few modeling and machine learning techniques. Our goal is always to match the right assumptions and models to the right problem -- they don’t necessarily have to be complex. You should have experience building models that are used by people to make better decisions. We’re focused on shipping early and often. We prefer iterative solutions that are incrementally better to the perfect solution. You should also be able to measure and know what impact your models had on the decisions people made -- e.g. did they outperform the previous best model or a human decision maker? Our data science team is still in its early days and you’ll have a big impact on our direction and how we operate. You’ll be central to upfront research and shipping products that help our customers learn and grow from their data.
Requirements
- Strong fundamental understanding and deep experience with at least a few machine learning algorithms (e.g. regressions, decision trees, k-means clustering, neural networks)
- Understand Bayesian modeling techniques
- Capable of analyzing data and making rigorous statements about what can or cannot be concluded
- Experience designing and implementing model performance/validation assessments
- Background in statistics and understand different distributions and the conditions under which they’re valid
- Know how to code and have used data science tools and packages
- Demonstrated a measurable impact based on the models you’ve created
- Bachelor’s or advanced degree in statistics, applied mathematics, computer science or other relevant quantitative discipline, or equivalent industry experience
- Worked in a data science role for 5+ years professionally or academically and can talk about your projects and the techniques you used
Nice To Haves
- Experience building models for the Fortune 50
- Experience with a wide variety of data mining and machine learning algorithms
- Experience with iterative solutions that are incrementally better to the perfect solution
- Ability to measure and know what impact your models had on the decisions people made
- Desire to ship features powered by data science
- Excited by both upfront research and actually getting models into production at cloud scale
Responsibilities
- Analyze large data sets
- Build models
- Ship products that enable businesses to grow faster and communicate with their customers
- Perform exploratory analysis
- Train and deploy models
- Match the right assumptions and models to the right problem
- Build models that are used by people to make better decisions
- Ship features powered by data science
- Get models into production at cloud scale
- Research and ship products that help customers learn and grow from their data
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What This Job Offers
Job Type
Full-time
Career Level
Senior
