Data Scientist (Data Insights)

Data Scientist – Data Insights

Full-time

Bellevue, WA (Symetra Financial Center)

Job Description

Get to know the team:

The Data Insights team, also known as the Business Data Platform, owns the online real-time single source of truth for all user data at Grab.

Get to know the Role:

· Develop a deep behavioral understanding and intuition of our passengers and drivers

· Manage and own the entire end-to-end lifecycle of designing models, working with Engineering for implementation, to maintenance and enforcement

· Generate multivariate statistical models to identify latent factors, preventive and preemptive capabilities that the framework requires

· Interface with business & operation teams to formulate solutions & product changes informed by your findings

· Work independently or in a team to solve complex problem statements

The day-to-day activities:

· Translate these intuitions into actionable, creative insights that produces heuristic or classification models to identify and take down those who violate our Terms of Services

· Test and validate these insights via rapid experimentation and deployment

· Develop creative algorithms by employing machine learning, and data mining techniques

· Contribute to team’s innovation and IP creation

· Build, validate, test, and deploy machine learning models (e.g. predictive, forecasting, clustering) using proven and experimental techniques. Deploy an online learning model where applicable

· Define hypotheses, develop and execute necessary tests, experiments, and analyses to prove or disprove them

· Translate data speak to human speak by effectively conceptualizing analysis to team members and business stakeholders

The must haves:

· Deep understanding and implementation experience in Deep Learning (CNN, RNN/LSTM), Reinforcement Learning, HMM, as well as Logistic Regression, Naive Bayes, Random Forest, Gradient Boosted Trees, KNN, K-means, PCA, LDA, CRF

· Hands-on experience using Keras, Tensorflow, Theano or Caffee, as well as Scikit Learn; experience in ETL, feature selections, modeling, model validation

· Proficient in programming languages like Python, Java, Scala or C++

· Familiarity dealing with trade offs between model performance and business needs

· Experience in interfacing with other teams and departments to deliver impact solutions for organization

Really nice to haves:

· Experience in geospatial databases or graph databases

· Experience in Scala or PySpark on distributed systems

· Interest in working with MapReduce technologies (such as Hadoop / Spark)

· Research experiences in GANs, Bayesian networks, MCMC, and with probabilistic programming languages

· Research publications on NIPS, ICML, CVPR or other similar top AI conferences