Senior Data Scientist

Title : Senior Data Scientist

Location : Columbus, OH (Hybrid) local

Duration : 8+ month contract

Our Enterprise Data and Analytics team is growing, and we are looking for an outstanding Senior Data Scientist to join our team.

You will leverage machine learning, segmentation, and statistical inference on huge data sets to improve how we understand our customers and the communities we serve.

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.

Duties and Responsibilities :

• Performs advanced analytics methods to extract value from business data.
• Performs large-scale experimentation and builds data-driven models to answer business questions.
• Conducts research on cutting-edge techniques and tools in machine learning, deep learning, and 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 product teams.

Basic Qualifications :

• Master's Degree in computer science, statistics, economics or related fields.
• Financial Services background.
• 9+ years of 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.

• 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

• 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.
7 days ago