Jr. Data Scientist

Role : Jr. Data Scientist

Location: Columbus, OH

Duration: 3 to 6 months C2H

MOI : Telephonic & MS Teams

Primary Skills: SQL, Python, SAS, NOSQL, R, RStudio

Need Candidates with a Minimum of 1 to 4 Years of Experience. And this is an Onsite/Hybrid model, Needs Locals or nearby only.

"Please note that all candidates must be able to work on Sunray's W2 only .

Job Description:

Responsibilities:

• Performs advanced analytics methods to extract value from business data
• Performs large-scale experimentation and builds data-driven models to answer business questions
• Researches 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 the 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 a 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, packages, experience building and deploying predictive models
• Experience with web scraping, scalable data pipelines, and experience with big data analysis tools and techniques.

Education:

• Master s degree in computer science, statistics, economics,s or related fields.