We are looking for a go-to person and brilliant data scientist who is independent, self-managed, enthusiastic with an analytical sparkle, and ambitious to join our team. The successful candidate will take an essential part in our growing data science competency center.
Responsibilities:
· Take a core responsibility for our data science activities and address statistical, machine learning, and data mining problems within a wide scope (predictions, recommendations etc.).
· Build personalization features for search that improves NDCG
· Build search and ranking model that include:
~System design: problem define, architecture diagram
~ Data pipeline: data collection, schema validation, data cleaning, anomaly detection, scheduling
~ Offline model training: data aggregation, feature selection, model selection, model evaluation
· Conduct hands-on research, analyze and interpret data and algorithms problems.
· Track and identify the relevant state-of-the-art technologies, and incorporate them through research and proof of concept activities.
· Ensure strong commitment to milestones, quality, and deliverables.
Desired Skills & Experience:
· Master’s in Computer Science, Electrical Engineering, Machine Learning, information systems engineering, or related field.
· Solid understanding of machine learning techniques and algorithms.
· Hands-on experience with Python and relevant data science packages.
· Experience with Deep Learning architectures and tools (TensorFlow , Keras, and/or PyTorch) – a plus
· Knowledge of production-grade software architecture and ML pipelines – a plus.
· Experience in time series forecasting or computer vision – an advantage.
· Experience with GCP cloud environments – an advantage
· Experience with Tech stack PySpark, Postgres, Kafka, ElasticSearch, Redis, Docker, Tensorflow, Databricks, SageMaker
