Data Scientist Lead (W2/CTH/Local/Onsite/Columbus, OH)

Job Title: Lead Data Scientist Location: Columbus, Ohio (Onsite) Job Type: W2 / Contract to Hire / 6 Months Citizenship: USC/GC As we advance our data science and analytics capabilities, we want a Lead Data Scientist to develop experts in modeling complex business problems and discovering business insights using statistical, algorithmic, mining, and visualization techniques. We are looking for a leader who has a passion for developing others, driving change, and continuously improving and evolving the application of technologies to meet todays and tomorrow’s challenges. Responsibilities: · Prioritizes analytical projects based on business value and technological readiness • Performs large-scale experimentation and build data-driven models to answer business questions • Conducts research on cutting-edge techniques and tools in machine learning/deep learning/artificial intelligence • Evangelizes best practices to analytics and products teams • Acts as the go-to resource for machine learning across a range of business needs • Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring • Provides leadership, coaching, and mentoring to team members and develops the team to work with all areas of the organization • Works with stakeholders to ensure that business needs are clearly understood and that services meet those needs • Anticipates and analyzes trends in technology while assessing the emerging technology’s impact(s) • Coaches' individuals through change and serves as a role model Skills: · Up-to-date knowledge of machine learning and data analytics tools and techniques Strong knowledge in predictive modeling methodology Experienced at leveraging both structured and unstructured data sources Professional image with the ability to form relationships across functions Ability to train more junior analysts regarding day-to-day activities, as necessary Proven ability to lead cross-functional teams Strong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker) Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret) Demonstrated Expertise with at least one Data Science environment (R/RStudio, Python, SAS) and at least one database architecture (SQL, NoSQL) Financial Services background preferred Experience: · Master’s degree and 5+ years of experience related work experience using statistics and machine learning to solve complex business problems, experience conducting statistical analysis with advanced statistical software, scripting languages, and packages, experience with big data analysis tools and techniques, and experience building and deploying predictive models, web scraping, and scalable data pipelines · Expert understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling Education: Master’s degree or PhD in computer science, statistics, economics or related fields