Data Scientist: III (Senior)

  • Columbus, OH
  • Posted 12 hours ago | Updated moments ago

Overview

On Site
USD 40.00 - 50.00 per hour
Contract - Independent
Contract - W2

Skills

Advanced Analytics
Research
Art
Deep Learning
Training
Algorithms
Management
Sourcing
Presentations
Analytics
Reporting
Dashboard
Leadership
Decision-making
Emerging Technologies
Data Science
Data Analysis
Programming Languages
Python
R
SAS
TensorFlow
scikit-learn
Regression Analysis
Modeling
Unstructured Data
Analytical Skill
Cloud Computing
Machine Learning (ML)
Amazon SageMaker
Financial Services
Finance
Accounting
Marketing
Legal
Customer Support
Online Training
Artificial Intelligence
Insurance
.NET

Job Details

Description

We are looking for an experienced Senior Data Scientist to join our Enterprise Data and Analytics team in Columbus, Ohio. This is a long-term contract position where you will apply your expertise in advanced analytics and machine learning to uncover meaningful insights and contribute to strategic decision-making processes. By leveraging cutting-edge tools and data-driven methodologies, you will play a key role in helping us better understand our customers and achieve organizational goals.

Responsibilities:
Design and implement advanced analytical models to extract actionable insights from large and complex datasets.
Conduct large-scale experiments and develop predictive models to address business challenges.
Research and apply state-of-the-art techniques in machine learning, deep learning, and artificial intelligence.
Define and refine requirements for training and evolving machine learning models and algorithms.
Present data-driven recommendations to influence product teams and organizational strategies.
Advocate for and implement best practices in analytics within cross-functional teams.
Oversee the end-to-end model development process, including data sourcing, model selection, result presentation, and production deployment.
Develop and maintain the organization's data infrastructure to support analytics and reporting.
Create detailed reports and dashboards to assist senior leadership in decision-making processes.
Stay updated on emerging technologies and tools in data science to enhance team capabilities.

Requirements

Strong expertise in machine learning techniques and data analytics tools.

Proficiency in programming languages such as Python and R, SAS, as well as machine learning frameworks like TensorFlow and scikit-learn.

Solid understanding of statistical methods including Bayesian networks, regression analysis, and hierarchical modeling.

Experience working with both structured and unstructured data sources.

Ability to communicate complex analytical results to both technical and non-technical audiences.

Proven ability to work independently and collaboratively in fast-paced environments while meeting deadlines.

Familiarity with cloud-based machine learning platforms, such as AWS SageMaker.

Background in financial services or similar industries is preferred.

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All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.

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