VP Data Science

Trajectory HR Solutions
Trajectory HR Solutions

Job Overview

We are looking for a VP, Data Science to lead all of the Data science and RD efforts of our client to discover the information hidden in vast amounts of data, and help build incredible data products. You will be joining other extremely passionate data science, product folks and engineers that share a common interest in distributed systems, performance, scale, and solving problems with software and data. Our technologies power the insights for financial service and corporate giants. Responsibilities Lead, nurture and grow a very talented data science team Lead discovery processes with stakeholders to identify the product requirements and the expected outcome Manage multiple projects in parallel and oversee their completion from start to finish, setting goals and project milestones Conceptualize and plan leading-edge analytic and quantitative tools and modeling techniques to help clients gain insights and improve decision-making Review internal and external analytical techniques, identify what data is available and relevant and source the necessary data Collaborate with the Engineering team to deploy solutions to production Make strategic recommendations to technology, product, and senior management Be the voice of data science internally and represent the client externally Requirements Master s Degree from top tier university in Computer Science, Statistics, Mathematics, Economics or similar quantitative discipline. PhD preferred Minimum 8+ Years of relevant professional experience with a proven track record of leveraging analytics and large amounts of data to drive significant business impact Extensive experience with data exploration, data cleaning, implementation of advanced statistical and machine learning algorithms (e.g., time-series analysis and forecasting, clustering, and advanced classification and regression techniques such as decision trees, neural networks, deep learning, and ensemble algorithms), as well as rigorous model validation and evaluation Excellent interpersonal and leadership skills with the ability to develop and guide team members to deliver actionable results Fluency in R or Python Modelingmining large data sets using Apache Spark, Databricks BenefitsCompensation package includes highly competitive salary, bonus, equity interest and the valuable business experiences, challenges and excitement of a fast growing technology startup company.VP Data Science 1

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