Data Scientist II - Gen AI/Python/AWS/SQL

Description

The company provides employee benefits and service solutions that help employees at client companies thrive through life's moments, with about 10,000 employees serving more than 39 million people worldwide.

The company is a Fortune 500 company and a leading provider of employee benefits to companies worldwide. Its headquarters is in Chattanooga, TN, with international offices in Ireland, Poland and the UK, significant operations in Portland, ME, and Baton Rouge, LA, and over 35 US field offices. A sister company is headquartered in Columbia, SC, with over 40 field offices nationwide.

This is a Data Scientist II role in the company's innovation hub, focused on AI, machine learning and advanced analytics.

You will build proof-of-concept solutions and AI models, and work with stakeholders across the enterprise to turn complex data into actionable insights.

The work is agile and experimental, with room for continuous learning and new technologies that create measurable business value.

Responsibilities

• Build and evaluate machine learning and generative AI solutions.
• Build proof-of-concept applications for business needs.
• Work with cross-functional teams to find opportunities and deliver insights.
• Apply advanced analytics to inform strategic decisions.
• Help foster innovation and continuous improvement.
• Design and run analytical solutions using optimization, simulation, data mining and statistical methods, with a focus on business value.
• Combine large volumes of data from DB2, SQL Server, Web APIs and Teradata into data assets for ad-hoc analyses and larger studies.
• Validate, aggregate and reconcile data to build a modeling-ready data framework.
• Build and tune predictive models that explain events, forecast behavior, or identify risk through scoring or clustering.
• Interpret results quickly and communicate findings and potential value to managers and leaders.
• Help embed solutions in existing business processes through automation.
• Keep up with current and emerging statistical methods and tools.
• Coach and mentor less experienced data science peers.
• Perform other related duties as assigned.

Requirements

• Bachelor's degree in a quantitative field is required; a Master's is preferred.
• 4 years of professional experience, or equivalent relevant work experience, is preferred.
• Deep expertise in at least two of the areas below is preferred, with competence in the other.
• Programming and process automation: file I/O, database integration and APIs to build automated analytics pipelines. DevOps, automation, data mining, web scraping or object-oriented software experience is preferred.
• Data visualization: expert in at least one tool, working knowledge of others, and expert in static visualization. Understanding of dynamic visualization.
• Statistics and statistical modeling: expert in statistical inference and regression, solid grasp of machine learning algorithms, feature selection and extraction, and end-to-end machine learning from problem definition to deployment.
• Data extraction, transformation and loading is preferred: write complex SQL joining multiple tables and databases, independently find the best data sources, troubleshoot complex SQL with little guidance, and build logical data models combining internal and external data.
• Communication skills, experience in financial services, leadership experience with senior and executive management, and attention to detail while managing several projects independently.
• Coach or mentor team members, commit quickly and positively to change, champion change management, and lead proof-of-concept and prototyping work when needed.

Conditions

This is a campus-based role requiring onsite presence 3 days per week.

The base salary range is $73,300.00-$150,500.00. Actual pay depends on skill, geographical location and experience, unless a specific salary is stated in the job description.

Benefits

• Health, vision and dental coverage.
• Short and long-term disability coverage.
• Performance-based incentive plans.
• Generous paid time off, including paid time to volunteer.
• 401(k) with an employer contribution of up to 9.5%.
• 401(k) employer match of up to 5%, plus an additional 4.5% contribution whether or not you contribute.
• Mental health support.
• Career advancement opportunities.
• Student loan repayment options.
• Tuition reimbursement.
• Flexible work environments.
• All benefits are subject to the terms of the individual Plans.