Data Scientist: III (Senior)

Overview

On Site
Contract - W2

Skills

Advanced Analytics
Business Data
Research
Artificial Intelligence
Deep Learning
Algorithms
Roadmaps
Analytics
Sourcing
Presentations
Data Analysis
Predictive Modelling
Unstructured Data
FOCUS
R
RStudio
Python
SAS/SQL
NoSQL
Amazon Web Services
Sage
TensorFlow
scikit-learn
Linear Regression
Modeling
Financial Services
Cloud Computing
Machine Learning (ML)
Scripting
Web Scraping
Big Data
Computer Science
Statistics
Economics
Privacy
Marketing

Job Details

Location: Columbus, OH
Salary: Negotiable
Description:
Job Title: Senior Data Scientist

Type: Contract To Hire

Location: Columbus, Ohio (3 days onsite, 2 days remote)

Only W2 Contract

JOB DESCRIPTION

Overview:

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 Sage maker)
  • 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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Contact:

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