Data Scientist
Raptive
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteSalary
💰 $100,000 - $150,000 per year
Job Level
Mid-LevelSenior
Tech Stack
AWSBigQueryCloudKerasNumpyPythonPyTorchScikit-LearnTensorflow
About the role
- Leverage Raptive's data set to surface meaningful insights that drive decision-making across the business
- Help derive meaningful insights from large amounts of data, build metrics, find answers, and create dependable, repeatable solutions
- Design and analyze experiments to improve revenue
- Classify audience and content to support programmatic direct and indirect sales
- Deliver evolutionary floor price guidance
- Visualize complex systems
- Build deep understanding of data generating processes
Requirements
- Graduate degree or equivalent in Statistics, Industrial Systems Engineering, or comparable field
- Familiarity with real time advertising markets
- Familiarity with processing large data sets (eg with Snowflake, Hive, Presto or BigQuery)
- Scripting experience (eg Bash or Python)
- Experience with the AWS environment
- Experience with statistical software (eg NumPy, scikit-learn, R)
- Familiarity with classification and regression libraries (eg TensorFlow, Keras, Pytorch)
- Familiarity with algorithms (eg XGBoost, Convolutional NN)
- Familiarity with deploying, scaling, and maintaining data science models in production environments, including experience with cloud platforms, containerization, orchestration, or related tools
- Applicants must be authorized to work for any employer in the U.S.; employer will not sponsor visas
Benefits
- Remote Full Time
- Eligible for additional incentive compensation that isn’t included in the posted range
- Commitment to diversity, equity, and inclusion
- Reasonable accommodation for individuals with disabilities upon request
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analysismetrics developmentexperiment designdata classificationrevenue optimizationdata processingscriptingstatistical analysismachine learningalgorithm familiarity
Soft skills
decision-makingproblem-solvinginsight generationcommunicationcollaborationorganizational skillscritical thinkingadaptabilityattention to detailanalytical thinking