Data Scientist II

Data Scientist II Department: Data Science Team: Data Scientist Location: New York, United States Type: Full-Time **About the Role** The TA Analytics team’s goal is to raise the bar for all of Talent Acquisition when it comes to data literacy. A successful candidate is a proactive thinker, flexible with shifting project priorities and pressure. You demonstrate confidence in handling problems, as well as the ability to work with a variety of different people. As a seasoned Data Scientist, you will utilize a variety of tools and approaches to answer complex questions from myriad stakeholders. You will also innovate new ways to analyze our data for more efficient and effective decision-making. You are a highly motivated and energetic self-starter, directly working with leaders to ensure that they are getting all the support needed to make meaningful, informed decisions (which may not be what they are asking for, but what they need). You will proactively identify new areas of analytical features and enhancements, including AI, that will further increase data quality, reliability, and insightfulness. \-\-\-\- What You Will Do ---- 1. Help build a new analytics suite that helps prove and increase the impact that TA has on the business. 2. Innovate new ways to analyze TA/People data that drives incremental business impact. 3. Understand business goals and apply appropriate analytics, causal inference, experimentation and machine learning to provide practical insights to partners and stakeholders. 4. Work closely with the Engineering teams to create data instrumentation and improve data quality. 5. Collaborate with cross-functional organizations to find opportunities, design, implement and analyze experiments, and perform deep dives for better decision-making. 6. Communicate optimally with non-technical customers on technical topics. \-\-\-\- Basic Qualifications ---- 1. Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields. 2. 4+ years experience as a Data Scientist, Product Analyst, Sr. Data Analyst, or