Data Scientist

Data Scientist / Advanced Analytics

Our client is seeking a highly technical Data Scientist / Advanced Analytics resource to support a commerce-focused initiative centered around targeted offers, customer segmentation, and workflow automation across digital guest channels. This role will partner closely with teams responsible for digital commerce, guest experience optimization, and promotional strategy to deliver scalable analytical solutions and actionable customer insights. The ideal candidate will possess a strong foundation in data science and advanced analytics, with deep expertise in SQL and Python, hands-on experience working with large-scale behavioral and transactional datasets, and the ability to apply statistical and unsupervised learning techniques to solve complex business problems. This is a highly hands-on role focused on exploratory analysis, audience segmentation, clustering, data transformation, and insight generation rather than pure production machine learning engineering.

Key Responsibilities

• Perform advanced exploratory data analysis (EDA) across high-volume transactional and

behavioral datasets to identify customer trends, engagement patterns, and targeting

opportunities

• Develop clustering and segmentation models using unsupervised learning techniques to

support personalized promotions and customer targeting strategies

• Build scalable SQL-based analytical workflows and optimize complex queries against

large enterprise data environments

• Use Python for data transformation, feature engineering, statistical analysis, and

analytical model development

• Integrate behavioral and transactional datasets to generate actionable customer insights

and support commerce optimization initiatives

• Analyze customer interaction data across digital channels including mobile applications,

websites, and promotional engagement workflows

• Partner with business stakeholders and technical teams to translate ambiguous business

problems into analytical frameworks and data-driven solutions

• Support automation initiatives related to targeted offer workflows, reporting enablement,

and customer engagement optimization

• Deliver insights and recommendations that directly influence segmentation strategy,

campaign targeting, and digital guest experiences

• Communicate analytical findings and technical recommendations clearly to both

technical and non-technical stakeholders

Required Qualifications

• 3+ years of experience in Data Science, Advanced Analytics, Customer Analytics,

Marketing Analytics, or a related quantitative field

• Advanced SQL expertise, including:

o complex joins

o CTEs

o window functions

o query optimization

o aggregations

o large-scale data transformations

• Strong Python experience for:

o data analysis

o data manipulation

o statistical analysis

o exploratory analysis

o analytical workflow development

• Hands-on experience with:

o clustering algorithms

o segmentation methodologies

o unsupervised learning techniques

o statistical analysis

o correlation analysis

• Experience working with large-scale structured and semi-structured datasets

• Strong understanding of customer behavior analytics and audience segmentation concepts

• Ability to independently perform deep-dive analyses and synthesize findings into

business recommendations

• Experience handling ad hoc analytical requests in fast-paced, ambiguous business

environments

• Strong critical thinking, analytical problem-solving, and stakeholder communication

skills

Preferred Qualifications

• Experience supporting targeted promotions, personalization, recommendation strategies,

or customer lifecycle analytics

• Exposure to digital commerce, product analytics, or guest/customer experience analytics

• Familiarity with workflow automation and analytics operationalization

• Experience with cloud-based analytical environments or enterprise-scale data platforms

• Experience working with customer behavioral event data and transactional datasets

simultaneously