Key skills
PySparkPythonPyTorchScalaSparkSQLRMachine LearningDeep LearningNLPMLOpsXGBoostAgile
About this role
Role Overview
- Lead the development of data-driven solutions for clients
- Querying, pre-processing, data cleaning, feature engineering, and analyzing large structured and unstructured data
- Deliver custom and commercial scalable solutions for internal and external customers
- Combine business requirements with existing processes and data knowledge to create analytical solutions
- Build and deploy unsupervised and supervised machine learning and deep learning models
- Collaborate with data scientists and engineers on product development and MLOPS
Requirements
- Bachelor’s degree in Computer Science, Math, Statistics, Machine Learning, Analytic, Data Science
- 0 to 2 years experience
- Knowledge and experience in unsupervised learning, PCA, GLM, lasso/ridge regression, random forest, GBM’s, XGBoost, Bayesian optimization, NLP, and deep neural networks
- Experience with SQL, Python, Pytorch, Pyspark, R, Spark, and Scala
- Must be able to work within an agile framework.
Tech Stack
- PySpark
- Python
- PyTorch
- Scala
- Spark
- SQL
Benefits
- Healthcare (Medical, Dental, Vision)
- Paid Time Off, Volunteer Time Off, and Holidays
- Employer-Matched Retirement Plan
- Employee Stock Purchase Plan
- Short-Term and Long-Term Disability
- Infertility Treatment, Adoption and Surrogacy Assistance
- Tuition Reimbursement