Data Scientist

September 16, 2023

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ShyftLabs

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AI • Data Analytics • Data Engineering • DataTransformation • Data Centralization

11 - 50

Description

• 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 modeling: validating and quantifying the efficiency and performance gain from hypotheses through rigorous simulation and modeling. • Experimentation and Causal Inference: developing a robust experiment design and metric framework, and providing reliable and unbiased insights for product and business decision making.

Requirements

• 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 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).

Benefits

• Competitive salary • Strong healthcare insurance and benefits package • Extensive learning and development resources