Customer Marketing Data Science Specialist

Dayforce

Customer Marketing Data Scientist leveraging data to solve business problems and influence strategy. Collaborating with marketing teams to deliver actionable insights for customer engagement and retention.

Posted 7/28/2026full-timeRemote • New York, Pennsylvania • 🇺🇸 United StatesMid-LevelSenior💰 $85,000 - $105,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading analytics initiatives, translating complex data into actionable insights, and applying advanced analytics and machine learning techniques. Proficient in data visualization and BI tools, with strong communication skills to effectively present findings to diverse audiences.

Highest-signal resume keywords

Analytics Project OwnershipProficiency in SASProficiency in PythonData Visualization with Power BIExperience with Predictive Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceStatisticsCustomer AnalyticsPredictive ModelingSegmentationExperimentationMarketing AnalyticsSQLRMachine Learning

Soft Skills

Strong Communication SkillsStorytelling SkillsCollaboration

Tools & Technologies

AzureDatabricksPower BITableauLooker

Industry Keywords

Business-Facing RoleData LifecycleMarketing StrategyCustomer RetentionCampaign Performance

Tech Stack

Tools & technologies

AzureCloudPythonSQLTableau

About the role

Key responsibilities & impact

Lead analytics initiatives from problem definition through to insight delivery and business adoption
Partner with Marketing, BI, IS, and other teams to understand challenges
Translate complex analysis into clear, actionable insights
Deliver analysis that informs segmentation, retention, campaign performance, and customer strategy
Design experiments, iterate quickly, and continuously improve impact
Work hands-on across the data lifecycle and apply advanced analytics and ML techniques to problems
Collaborate effectively across a geographically dispersed team

Requirements

What you’ll need

Bachelor’s degree (or equivalent hands-on experience) in Data Science, Statistics, Computer Science, Marketing, Social Sciences, or a related field
5 years of experience in marketing, customer analytics, or data science in a business-facing role
Proven ability to own analytics projects end-to-end
Proficiency in SAS, Python, R, and/or SQL
Experience working with cloud and data platforms such as Azure and Databricks
Experience with data visualization and BI tools such as Power BI, Tableau, or Looker
Experience applying predictive modeling, segmentation, experimentation, and/or marketing analytics techniques
Strong communication and storytelling skills; able to present complex ideas in a clear, concise, and actionable way for non-technical audiences
English proficiency is required to support the full North American business
Legal Authorization to work in the US is required.

Benefits

Comp & perks

Join a supportive and inclusive work environment
Highly competitive compensation and a total rewards package
Flexible schedules to help manage personal and professional commitments
Access to LYRA for physical, mental, financial, and social well-being support
Continuous focus on professional development with many training & career growth opportunities
24/7 safety mindset throughout the organization