Lead Data Scientist - 3 Months Contract to Hire
Responsibilities:
- Prioritizes analytical projects based on business value and technological readiness
- Performs large-scale experimentation and builds 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
- Willingness and ability to learn new technologies on the job
- Demonstrated ability to communicate complex results to technical and non-technical audiences
- Strategic, intellectually curious thinker with focus on outcomes
- 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 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
- 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
Job Type: Contract
Pay: $110,000.00 - $125,000.00 per year
Benefits:
- 401(k)
- Dental insurance
- Health insurance
- Vision insurance
Schedule:
Work Location: Hybrid remote in Columbus, OH 43219
