Machine Learning Scientist
Olo
What You’ll Be Doing
- Work closely with the product team, understand product objectives, translate ambiguous business problems to ML or other advanced analytical solutions
- Maintain Olo’s existing ML applications and develop new features
- Stay up to date with new technologies in the field
- Own the entire process from data acquisition and feature engineering/selection to model building, training, testing & monitoring
- Work with and guide the engineering team to deploy the model
- Communicate solutions in a simple, actionable way with a non-technical audience
- Support communication with data visualizations
What We Expect From You
- Bachelor’s degree in Math, Statistics, Computer Science, Operations Research or any other quantitative discipline
- 2+ years of real-world predictive modeling experience
- Experience in setting up machine learning models, including data cleansing, feature extraction, model selection & ensemble methods, performance metrics & visualization
- Hand on experience with machine learning techniques such as deep neural nets (DNN, CNN, LSTM-RNN)
- Proficient understanding of the complexity of developing and productizing real-world AI/ML applications such as prediction, recommendation, sentiment analysis
- Deep knowledge of some of the popular ML frameworks such as TensorFlow, Pytorch Keras, SparkML, sci-kit-learn, XGBoost, H2O
- Strong programming skills
- Strong problem-solving skills
- Ability to work independently in a fast-paced work environment
- Communication skills with the ability to convey the message in business terms, highlight the business impact and opportunity, and correctly call out the right call to action
To apply for this job please visit jobs.lever.co.
