Our client in Columbus, Ohio is in need of a contract Data Scientist to join their team.
Overview :
As we advance our data science and analytics capabilities, we want experts in modeling complex business problems and discovering business insights using statistical, algorithmic, mining, and visualization techniques. The Senior Data Scientist contributes to building and developing the organization's data infrastructure and supports the senior leadership with insights, management reports, and analysis for decision-making processes.
Responsibilities :
- Performs advanced analytics methods to extract value from business data
- 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
- Determines requirements that will be used to train and evolve deep learning models and algorithms
- Articulates a vision and roadmap for the exploitation of data as a valued corporate asset
- Influences product teams through presentation of data-based recommendations
- Evangelizes best practices to analytics and products teams
- Owns the entire model development process, from identifying the business requirements, data sourcing, model fitting, presenting results, and production scoring
Skills :
Up-to-date knowledge of machine learning and data analytics tools and techniquesStrong knowledge in predictive modeling methodologyExperienced at leveraging both structured and unstructured data sourcesWillingness and ability to learn new technologies on the jobDemonstrated ability to communicate complex results to technical and non-technical audiencesDemonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelinesStrategic, intellectually curious thinker with focus on outcomesProfessional image with the ability to form relationships across functionsStrong experience with R / RStudio, Python, SAS, SQL, NoSQLStrong experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)Strong experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)Strong understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models / multi-level modelingFinancial Services background preferredExperience :
1-3 years' work and / or educational experience in machine learning or cloud computing, experience using statistics and machine learning to solve complex business problems, experience conducting statistical analysis with advanced statistical software, experience scripting languages, and packages, experience building and deploying predictive models, experience web scraping, and scalable data pipelines and experience with big data analysis tools and techniques.Education :
Master's degree in computer science, statistics, economics or related fields