3 дня назад
Data Scientist I - CX Analytics (AI)
60 500 - 123 400$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Scientist I - CX Analytics (AI): Transforming structured and unstructured data into actionable customer and business insights through analytics, experimentation, and machine learning with an accent on statistical modeling, ETL, and data integration. Focus on building predictive models, combining large-volume data from multiple systems, automating business processes, and communicating findings to stakeholders.
Location: Portland, Maine, USA; campus-based hybrid role
Salary: $60,500–$123,400 base salary annually
Company
is a Fortune 500 provider of employee benefits and service solutions, supporting more than 39 million people worldwide.
What you will do
- Design and execute analytical solutions using statistical, optimization, simulation, and data mining methods.
- Integrate large-volume data from DB2, SQL Server, Web API, and Teradata to create data assets and perform analyses.
- Validate, aggregate, and reconcile data to build modeling-ready frameworks.
- Construct machine learning models for explanation, forecasting, risk scoring, and clustering.
- Interpret results and communicate findings and business value to managers and stakeholders.
- Support the integration of analytical solutions into business processes through automation.
Requirements
- Bachelor’s degree in a quantitative field preferred, with approximately two years of professional or equivalent relevant experience preferred.
- Experience with programming, APIs, file I/O, databases, analysis libraries, Jupyter notebooks, or statistical packages.
- Knowledge of data visualization, statistical inference, regression, and introductory machine learning techniques including random forests and neural networks.
- Experience writing and troubleshooting complex SQL queries across multiple tables or databases.
- Basic communication skills, attention to detail, prioritization, and the ability to manage multiple projects and deadlines.
- Ability to work in the campus-based hybrid arrangement in Portland, Maine, USA.
Nice to have
- Exposure to process mapping, scripting for automation, data mining, and web scraping.
- Experience with financial services.
- Ability to coach or mentor team members and apply technical best practices.
- Entrepreneurial, results-oriented, curious, and self-directed approach.
Culture & Benefits
- Inclusion and diversity are organizational priorities.
- Performance-based incentive plans and competitive benefits.
- Health, vision, dental, short- and long-term disability coverage, and mental health support.
- Generous paid time off, including paid volunteer time.
- 401(k) contributions of up to 9.5%, tuition reimbursement, student loan repayment options, and career advancement opportunities.
- Flexible work environments.
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