Senior Data Scientist
Core
Design and implement regression-based predictive models, advanced machine learning algorithms, and automated ML solutions for speech, computer vision, text, and device-generated data to identify business opportunities and reduce losses.
Role type
Senior hands-on IC machine learning engineer (predictive modeling & NLP)
Builds
Production ML models, automated ML tools, and data analysis/visualization software
Domain
Retail industry, AI/ML, IoT, Cloud computing
Deliverable
production ML models
Required skills
Statistics, Machine Learning, Deep Learning, Time-series forecasting, PySpark, Databricks SQL, TensorFlow, NLTK, R, Python, Java, NoSQL, Apache Spark, Cloud platforms (AWS/Azure/GCP), Software architecture
Preferred skills
Master's degree, NLP, TensorFlow, Retail industry experience, Google Cloud/AWS experience
Technologies
Azure, Databricks, PySpark, TensorFlow, NLTK, AWS, Google Cloud, Apache Spark, NoSQL, GitHub Actions
Responsibilities
Design and implement regression-based predictive models using diverse data types; Develop or integrate advanced machine learning algorithms for speech, computer vision, and text; Create tools for analyzing and visualizing large datasets; Identify and communicate insights and forecasts to business leaders; Mentor and guide less experienced data scientist colleagues; Meet with customers and partners to understand business requirements and present findings.
Seniority
Senior, hands-on IC
