Data Scientist

Job Responsibilities:

• Data Analysis and Research: Analyzing a large dataset with queries and scripts, extracting valuable signals out of noise, and producing actionable insights into how we could complete and improve a complex ML and bidding system.
• Simulation and Modelling: Validating and quantifying the efficiency and performance gain from hypotheses through rigorous simulation and modelling.
• Experimentation and Causal Inference: Developing a robust experiment design and metric framework, and providing reliable and unbiased insights for product and business decision making.

Basic Qualifications:

• Master's degree in a quantitative discipline or equivalent.
• 3+ years minimum professional experience.
• Distinctive problem-solving skills, good at articulating product questions, pulling data from large datasets and using statistics to arrive at a recommendation.
• Excellent verbal and written communication skills, with the ability to present information and analysis results effectively.
• Ability to build positive relationships within ShyftLabs and with our stakeholders, and work effectively with cross-functional partners in a global company.
• Statistics: Must have strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis techniques such as regression or linear models.
• Machine Learning: Must have a deep understanding of ML algorithms (i.e., deep learning, random forest, gradient boosted trees, k-means clustering, etc.) and their development, validation, and evaluation.
• Programming: Experience with Python, R, or other scripting language, and database language (e.g. SQL) or data manipulation (e.g. Pandas).