Data Scientist, Insight Global, OH, US

9/29 – 12/29 – 3-month contract to hire

Hybrid!

Basic Qualifications:

• Master's degree completed by Spring 2025 in Computer Science or Information Systems, Decision Sciences, Statistics, Operations Research, Applied Mathematics, Engineering, or a STEM degree
• or in lieu of a Master's degree, Bachelor's degree with a minimum of 3 years’ work experience in analytics or data science
• Experience with R, RStudio, Python, SAS, SQL, NoSQL

Preferred Qualifications:

• Up-to-date knowledge of machine learning and data analytics tools and techniques
• Knowledge in predictive modeling methodology
• Experienced at leveraging both structured and unstructured data sources
• Willingness and ability to learn new technologies on the job
• Work and/or educational experience conducting statistical analysis with advanced statistical software, scripting languages, and packages
• Work and/or educational experience with big data analysis tools and techniques
• Foundational knowledge of building and deploying predictive models, web scraping, and scalable data pipelines
• Understanding of statistical methods and skills such as Bayesian Networks Inference, linear and non-linear regression, hierarchical, mixed models/multi-level modeling
• Experience with Cloud Machine Learning technologies (e.g., AWS Sagemaker)
• Experience with machine learning environments (e.g., TensorFlow, scikit-learn, caret)
• Financial Services background

About Candidate:

• A curious mind with a thirst for discovery, answers, optimization, and continuous improvement
• Excellent written and verbal communication skills with a proven ability to interact effectively across all organizational levels
• Creative thinker and problem solver, with a strong ability to manage ambiguity/complexity
• Work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines
• Experience working in a consumer-centric company and with teams of technical professionals in a cross-functional environment
• Experience in banking or financial services is a plus

Summary:

Our client is seeking a passionate, data-savvy Senior Data Scientist to join the Enterprise Analytics team to fuel our mission of growth through data-driven insights and opportunity discovery. This dynamic role uses a consultative approach with the business segments to dive into our customer, product, channel, and digital data to uncover opportunities for consumer experience optimization and customer value delivery. You will also enable stakeholders with actionable, intuitive performance insights that provide the business with direction for growth. The ideal candidate will have a robust mix of technical and communication skills, with a passion for optimization, data storytelling, and data visualization. You will collaborate with a centralized team of data scientists as well as teams across the organization including Product, Marketing, Data, Finance, and senior leadership. This is an exciting opportunity to be a key influencer to the company's strategic decisions and to learn and grow with our Analytics team.

The Team:

You will be joining a team of analytics and data science professionals within the Enterprise Data & Analytics organization. Team members are highly skilled in a mixture of R, Python, SAS, SQL, Tableau, and Adobe Analytics/Target to perform modeling, visualization, and advanced analytics. Members of the team primarily support the Digital and Omnichannel organizations but are strategically positioned to partner with and support nearly every part of the company including Product, Marketing, Consumer Sales and Operations, Business and Commercial Banks, Private Client Group, Enterprise Payments, and IT. We align with our partners within the Agile development framework and support projects throughout their entire lifecycle from ideation through delivery on the largest and most visible projects undertaken at the company. This highly visible and critical role will be set in a fast-paced environment with the ability to influence not just any single project but the overall direction of the organization.

Duties and Responsibilities:

• Ability to use advanced analytics methods to extract value from business data.
• Ability to perform 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.
• Influences product teams through presentation of data-based recommendations.
• Performs other duties as assigned.

Compensation:

$40hr to $50/hr.

Exact compensation may vary based on several factors, including skills, experience, and education.

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.