This range is provided by Brooksource. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$50.00/hr - $70.00/hr
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