Senior Data Scientist

Overview

Leads data science and machine learning initiatives for enterprise front office program in the staffing industry. Works with leadership to present new ideas and technologies in the recommendations space. Performs data analysis at scale and implements algorithms to find impactful operational and finished intelligence in large data streams. Involved in the analysis of unstructured and semi-structured data. Exercises creativity in applying non-traditional approaches to large-scale analysis of unstructured data in support of high-value use cases. Handles processing against high-volume collections of data and high-velocity data streams. Has the ability to make discoveries in the world of big data. Requires strong technical and computational skills coupled with the ability to code, design, develop, and deploy sophisticated applications using advanced unstructured and semi-structured data analysis techniques. Has the ability to utilize advance tools and computational skills to interpret, connect, predict and make discoveries in complex data and deliver recommendations. Develops documentation to support objectives of operationally focused team members. Presents findings to stakeholders at all levels.

Responsibilities

• Architects and builds data science models for use in enterprise recommendations engines
• Recommends and implements industry leading technologies and best practices to a team of data scientists, platform engineers, and machine learning specialists
• Implements data management and data engineering strategies in cloud-based big data platforms
• Leads data science and machine learning initiatives
• Curates and analyzes large datasets for the purpose of creating training data for machine
• Knowledge of collection methods, capabilities, and tasking process
• Strong analytical and critical thinking skills
• Intellectual curiosity: creativity and innovation to go beyond current tools to deliver the best solution to complex problems

Qualifications

• Bachelor of Science Degree or higher computer science, statistics, or other related STEM (Science, Technology, Engineering, or Math)
• 7+ years in data scientist, machine learning, or data engineering role
• Strong understanding of modern data science patterns and algorithms
• Strong understanding of machine learning
• Strong understanding of data engineering, structure, formatting, conditioning and analysis
• Knowledge of database tools and current data science processes
• Knowledge of descriptive and inferential statistics, including hypothesis testing
• Ability to apply supervised and unsupervised machine learning algorithms for clustering, classification, and dimensionality reduction
• Experience with developing data visualizations, dashboards, or lightweight Web applications to communicate key insights
• Knowledge of cloud-based Big Data platforms such as Google BigQuery a plus
• Strong understanding of Agile processes and practices
• Ability to lead initiatives, mentor team members, and take accountability for delivery
• Ability to communicate information to a business or leadership audience in verbal or written formats
• Knowledge of research designs and patterns

Core Competencies:

• Customer Service
• Building Relationships
• Business Knowledge / Organizational Acumen
• Self-Motivation/Self Starter
• Leading Self and Others

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