Data Scientist: III (Senior)

Location: Columbus, OH

Salary: Negotiable

Description:

++Job Title: Data Scientist++

++Location: Columbus, OH (4 days onsite, 1 day remote)++

++Type: 3 Months Contract to hire++

++Contract only W2++

++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 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
Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines
Strategic, intellectually curious thinker with focus on outcomes
Professional image with the ability to form relationships across functions
Strong experience with R/RStudio, Python, SAS, SQL, NoSQL

* Strong 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 modeling
Financial Services background preferred

++Experience++ :
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

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