ShyftLabs is hiring a
Data Scientist

Summary

ShyftLabs is seeking an experienced Data Scientist to derive performance improvement and cost efficiency in their product through ML and infra system understanding. The company delivers digital solutions for Fortune 500 companies and focuses on creating value through innovation. The role can be remote within the United States.

Requirements

• Master's degree in a quantitative discipline or equivalent
• 5+ years minimum of relevant 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 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 deep understanding of ML algorithms (i.e. deep learning, random forest, gradient boosted trees, k-means clustering, etc.) and its 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)

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

Benefits

• Competitive salary
• Strong healthcare insurance and benefits package
• Role is able to be fully remote anywhere within the United States
• Extensive learning and development resources