Data Scientist I - CX Analytics
The Data Scientist I in CX Analytics at Confidential Client applies data science, analytics, and AI techniques to transform diverse data into actionable insights that enhance customer and business outcomes. This role involves designing analytical solutions, building predictive models, integrating large datasets, and collaborating with cross-functional teams to support data-driven decision-making. It is ideal for a developing data scientist with strong problem-solving skills and a passion for continuous learning in a dynamic, customer-focused environment.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Insurance.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
This is an entry-level, campus-based Data Scientist I role supporting CX Analytics for a Confidential Client in Portland, ME. You will apply data science, analytics, and basic ML to structured and unstructured data to generate actionable insights that improve customer and business outcomes. You will partner with BI analysts, data engineers, and business stakeholders to design analyses, support experiments, and communicate results.
- Design and execute analytical solutions using statistics, optimization, simulation, and data-mining methods to deliver business value.
- Integrate and wrangle large volumes of data from sources such as DB2, SQL Server, Teradata, and Web APIs.
- Build data assets via validation, aggregation, and reconciliation to create modeling-ready datasets.
- Construct and evaluate predictive models (scoring, clustering, forecasting) using machine learning methods.
- Automate repeatable processes and support integration of solutions into business workflows.
- Interpret results clearly and communicate findings and potential impact to managers and stakeholders.
- Learn and apply new statistical methods, tools, and best practices as needed.
Responsibilities
- Collaborate with cross-functional teams to translate business questions into analytic approaches.
- Run experiments and analyses to identify trends, drivers, and improvement opportunities in the customer experience.
- Write and optimize SQL queries to explore and join multiple tables/databases for analysis.
- Create clear visualizations and summaries that drive decision-making.
- Document methods, assumptions, and code; follow technical best practices and peer reviews.
- Support ad-hoc requests while prioritizing multiple projects and deadlines.
Minimum Qualifications
- Bachelor's degree in a quantitative field preferred (or equivalent experience).
- Approximately 0–2 years of professional experience or equivalent relevant experience.
- Foundational programming experience (Jupyter notebooks, scripting) and familiarity with APIs/file I/O.
- Solid understanding of statistical inference and regression; exposure to machine learning techniques.
- Working knowledge of SQL with ability to write and troubleshoot complex queries.
- Basic experience with data visualization tools and static visualizations.
- Strong attention to detail, communication skills, and ability to prioritize work across multiple tasks.
Preferred Qualifications & Characteristics
- Familiarity with ETL concepts and experience integrating multiple data sources.
- Exposure to DB2, Teradata, SQL Server, or similar enterprise data platforms.
- Experience with data visualization tools (e.g., Tableau, Power BI) and Python/R analytics libraries.
- Entrepreneurial self-starter mentality, curious and results-oriented.
- Ability to coach/mentor others and adapt quickly to change.
Compensation & Benefits
The confidential client provides a competitive salary range and a robust benefits package.
- Base salary range: $60,500 – $123,400 (actual pay dependent on skills, experience, and location).
- Health, vision, and dental coverage.
- Short- & long-term disability insurance.
- Performance-based incentive plans.
- Generous paid time off and paid volunteer time.
- 401(k) retirement plan with employer contributions.
- Tuition reimbursement, student loan repayment options, and career development opportunities.
- Flexible work environment (this specific role is campus-based in Portland, ME).
Work Location & Employment Type
- Location: Portland, ME (on-campus)
- Employment type: Full-time
Tools & Skills You’ll Use
- SQL (complex joins, troubleshooting)
- Python or R (data analysis, modeling)
- Jupyter notebooks and scripting for automation
- Data visualization tools (Tableau, Power BI, or similar)
- Familiarity with DB2, Teradata, and SQL Server is a plus
Why Join
You’ll work on meaningful problems that affect customer experience at scale for a large, established organization in the Insurance industry. This role is a strong opportunity to grow technical skills, learn modern analytics and ML techniques, and influence business decisions.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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