Data Scientist
The Data Scientist at Confidential Client applies advanced statistical and machine learning techniques to analyze large datasets, develop predictive models, and provide actionable insights to support marketing, loyalty, and CRM decision-making. This role involves data preparation, model development, and communicating findings to business stakeholders to improve customer engagement and marketing effectiveness. The position requires strong analytical skills, proficiency in data science tools, and collaboration across internal teams.
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, Internet Publishing.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
The Confidential Client is looking for an early-career Data Scientist to apply advanced statistical, analytical, and machine-learning techniques to support marketing, loyalty, and CRM decision-making. You will work with large, complex datasets to develop predictive models, run experiments, and turn analysis into clear, actionable recommendations for business stakeholders.
- Apply statistical and machine-learning methods to build predictive models and scenario analyses
- Prepare, clean, and integrate large datasets from multiple sources for analysis
- Perform feature engineering, exploratory data analysis, and model evaluation
- Translate analytical results into presentations and operational recommendations for non-technical audiences
- Document modeling approaches, assumptions, performance metrics, and deployment considerations
- Collaborate with cross-functional teams (marketing, CRM, engineering) to implement and measure solutions
- Support the development of data-driven products or intellectual property when applicable
- Travel up to 10% for business needs
Responsibilities
- Design and execute statistical analyses and experiments to measure marketing and customer outcomes
- Build and validate predictive models (churn, lifetime value, response, segmentation)
- Produce reproducible, well-documented analytical code and deliverables
- Communicate findings and recommended actions to business partners
- Troubleshoot data quality issues and analytical roadblocks
Minimum Qualifications
- Bachelor’s degree and at least 2 years of experience in quantitative or computational roles, or a graduate degree in a quantitative/technical discipline
- Practical knowledge of SQL for data querying and manipulation
- Experience using data science tools and libraries (Python, R, Spark, or equivalent)
- Ability to analyze, interpret, and present data-driven insights to business audiences
- Experience working with large datasets and producing actionable analytics
- Strong interpersonal skills for working in a matrixed environment
Preferred Qualifications
- Graduate degree in statistics, data science, applied math, economics, computer science, engineering, or related field
- Strong proficiency in SQL and either Python or R for data manipulation and modeling
- Hands-on experience with statistical modeling, machine learning, experimental design, and model evaluation
- Experience in feature engineering, data visualization, and creating production-ready analytical code
- Prior experience in marketing, CRM, or loyalty analytics is a plus
- Clear written and verbal communication skills for explaining technical results to non-technical stakeholders
Compensation & Benefits
- Salary range (provided by source): $65,000 - $113,750 per year. Actual offer will depend on location, experience, and qualifications.
- Our client offers standard benefits; specific details will be provided during the hiring process.
Location & Work Type
- Employment type: Full-time
- Seniority level: Entry level
- Job location: Deerfield, IL (on-site or as defined by the client)
- Willingness to travel: up to 10%
Why Join
- Opportunity to work on customer-facing analytics that directly influence marketing and loyalty programs
- Collaborate across analytics, engineering, and business teams in a fast-paced environment
- Grow technical and business skills while contributing to high-impact projects
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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