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 developing predictive models for fraud prevention and threat intelligence. Collaborating with data engineers and business analysts to support strategic decision-making in information security.
Responsibilities
- Develop predictive models and statistical analyses to support strategic decision-making related to information security and fraud prevention.
- Collaborate with data engineers and business analysts to structure data, validate hypotheses, and ensure model applicability.
- Conduct exploratory analyses, formulate key questions, and present results clearly and accessibly.
- Translate business rules into features and variables relevant for modeling.
- Document deliverables and contribute to promoting a data-driven culture across the organization.
- Participate in training and mentoring initiatives, supporting the technical development of other data scientists.
Requirements
- Experience with Python for data analysis and building predictive models.
- Knowledge of supervised and unsupervised machine learning techniques.
- Experience with data analysis tools such as Pandas, Scikit-learn and Jupyter.
- Ability to communicate clearly with technical and non-technical stakeholders.
- Experience working collaboratively with data engineers and business analysts.
- Knowledge of information security or interest in working on fraud prevention.
- Experience with platforms such as Databricks or cloud environments (AWS, GCP, Azure).
- Knowledge of MLOps and the predictive model lifecycle.
- Familiarity with versioning and automation tools (e.g., Git, Airflow).
- Participation in data communities or diversity initiatives in technology.
- Experience with data visualization and analytical storytelling.
Benefits
- 14th and 15th fixed salary payments.
- Profit-sharing / performance-based bonuses (depending on seniority).
- Health and dental plans with no copayment.
- Well-being programs through Wellhub (formerly Gympass): nutrition, psychology, occupational health, massage, running group and access to a local gym.
- Meal and food vouchers with flexible percentage allocation between cards (VA/VR), no copayment.
- Extended maternity and paternity leave.
- Childcare or nanny allowance for children up to 6 years and 11 months.
- Support for children with disabilities, no age limit.
- Life insurance.
- Private pension plan up to 7% of salary.
- Training platform – Sicredi Aprende, offering a variety of courses.
- 40-hour workweek – using a time bank system.
- Remote work allowance (except for positions requiring 100% on-site presence).
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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