Data Scientist enhancing merchandising and inventory performance using machine learning techniques at Nordstrom. Collaborating with teams to develop data - driven solutions for better customer experiences.
About the role
- Data Scientist performing advanced analytics to inform strategic decisions at Vanguard. Utilizing data science techniques to drive innovation across various business domains.
Responsibilities
- Performs deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making.
- Develops queries and performs extensive programming to access, transform, and prepare data for statistical modeling.
- Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps.
- Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses.
- Brings structure to requests and translates requirements into an analytic approach.
- Guides test design, research design, and model validation.
- Provides statistical consultation services.
- Serves as the analytics expert on cross-functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community.
- Prepares and delivers insight presentations and action recommendations.
- Communicates complex analytical findings and implications to business partners.
- Participates in special projects and performs other duties as assigned.
- Designs and develops data mining protocols and analytical models to identify trends and patterns in large-scale datasets.
- Applies emerging data science methodologies and statistical techniques to provide actionable insights across various business domains.
Requirements
- Minimum 5 years of experience in data science, analytics, or statistical modeling roles
- Bachelor’s degree (B.E./B.Tech) in relevant fields such as Analytics, Applied Mathematics, Statistics, Computer Science, or a Master’s degree/Diploma in a related analytical discipline
- Proficiency in data wrangling and transformation using SQL, Python, or R
- Strong understanding of statistical modeling and machine learning techniques
- Experience with tools like Jupyter, SAS, or RStudio
- Hands-on experience in building data mining models, conducting trend analysis, and interpreting complex datasets to support strategic decisions
- Experience in cloud-based environments (AWS, Azure, or GCP)
- Knowledge of big data platforms and frameworks (Hadoop, Spark) is a plus
- Strong communication and visualization skills to translate analytical findings into actionable business insights
- Ability to work cross-functionally and apply analytics to domains such as marketing, operations, or research
Benefits
- Professional development opportunities
- Flexible working hours
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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