Design, implement, and monitor robust Key Performance Indicators (KPIs) and address performance anomalies.
Develop dynamic, real-time monitoring solutions and interactive dashboards to track key metrics and automate data quality checks, significantly reducing manual reporting overhead.
Apply advanced analytical techniques, including specialized Machine Learning and Natural Language Processing (NLP), to conduct deep-dive analyses and uncover the root causes of trend shifts.
Translate complex model outputs and findings into clear, actionable narratives and presentations.
Requirements
B.S, M.S. or Ph.D. Degree in Engineering, Data Science, Computer Science, Math, or a related quantitative field.
5+ years of hands-on experience as a Data Scientist, Data Analyst, or a similar role with a heavy focus on business intelligence and performance measurement.
Experience implementing and analyzing KPIs for large scale complex systems, including trend monitoring and anomaly detection using ML.
Proficiency in Python and SQL.
Expertise in machine learning libraries like Scikit-learn, TensorFlow/PyTorch.
Expertise in PySpark/Apache Spark for handling large-scale data processing.
Benefits
Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate.
Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available.
Rich retirement benefits, including an immediately vested employer safe harbor match.
Generous paid parental leave as well as a phased return to work.
Flexible vacation policy in addition to paid company holidays.
Total Wellness Program providing numerous resources for overall wellbeing
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
Machine LearningNatural Language ProcessingPythonSQLScikit-learnTensorFlowPyTorchPySparkApache SparkKey Performance Indicators