78 applicants
Nordstrom · 3 days ago
Data Scientist 1 - Stores & Finance
Seattle, WA
Full-time
Hybrid
Mid Level
$103K/yr - $188K/yr
1+ years exp
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Insider Connection @Nordstrom
Responsibilities
Partner with key stakeholders to define success and develop measurement frameworks.
Reconcile divergent demands from multiple stakeholders in a fast-paced work environment.
Present the results to the stakeholders up to executive level and guide them to make the best use of analytics in their domain.
Use advanced analytical and statistical practices to create thorough and actionable insights.
Perform large-scale statistical analysis and develop and apply segmentation, predictive models, and forecasting models to key business problems.
Deliver high quality solutions and recommendations to a variety of problems both independently and through the collaboration with team members and business partners to drive outcomes.
Bring data to life through storytelling in a clear and meaningful way to audiences with mixed levels of technical expertise.
Mentor more junior team members on analytics, storytelling, and communication best practices.
Lead code and documentation reviews, educating the adoption of Data Science/Machine Learning best practices within the center of excellence.
Qualification
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Required
1-3 years hands-on professional experience in Data Science and Analytics.
1-3 years of strong coding skills in at least one statistical or programming language (e.g. R, Python) to import, process, summarize, and analyze data.
Experience with utilizing data visualization tools to tell compelling data stories (e.g. Tableau, Shiny)
Bachelor’s degree in mathematics, statistics, computer science, economics, operations research or in a quantitative field (or equivalent experience).
A solid grasp of the scientific method and its application to Data Science.
Fluency with descriptive and inferential statistical techniques, including experimental design (DOE) concepts and their application.
Proficiency with statistical and machine learning algorithms (e.g. regression, decision trees, collaborative filtering, clustering, survival analysis, graph theory, etc.).
Proficient in extracting large data sets from various relational databases using SQL (Amazon Redshift, Oracle, Teradata preferred).
Preferred
MS or PhD in mathematics, statistics, computer science, economics, operations research or in a quantitative field (or equivalent experience).
Strong background and proficiency with advanced methods such as (neural networks, Bayesian networks, deep learning, recommenders, etc.)
Experience of building and maintaining operational models processing large quantity of data in real-world production environments such as SageMaker, AzureML or Kubernetes.
Passion and aptitude for turning sophisticated problems into concrete hypotheses that can be answered through meticulous data analysis and A/B testing.
Deep knowledge of statistical and machine learning algorithms and experience developing and deploying them to production-level systems (using Scikit-Learn, mlpy, MICE, Caret, PyTorch, Keras, or TensorFlow).
Experience working in a highly collaborative environment (e.g. code sharing, using revision control, contributing to team discussions/workshops, and document sharing).
Experience developing and deploying data pipelines using Cloud Services (e.g. AWS).
Experience using engines such as Apache Spark or Hadoop to analyze large datasets.
Experience with data ETL, RESTful APIs.
Strong coding skills in Python, R, Go, Scala, Java, C, and/or C++.
Familiarity with e-commerce analytics topics (e.g., digital tactics, targeting and customer segmentation, lifetime value forecasting, and incremental response modeling, to name a few).
Benefits
Medical/Vision
Dental
Retirement
Paid Time Away
Life Insurance
Disability
Merchandise Discount
EAP Resources
Company
Nordstrom
Nordstrom is an online fashion retailer that offers a selection of brand names and private label merchandise.
10,001+ employees
H1B Sponsorship
Nordstrom has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (153)
2022 (270)
2021 (316)
2020 (221)
Funding
Current Stage
Public CompanyTotal Funding
$968.62MKey Investors
Ryan CohenEl Puerto de Liverpool
2023-02-03Post Ipo Equity· Undisclosed
2022-09-15Post Ipo Equity· $293.62M
2021-06-01Post Ipo Secondary· Undisclosed
Leadership Team
Cathy Smith
Chief Financial Officer
Deniz Anders
SVP and chief marketing officer
Recent News
2024-06-04
2024-06-01
Company data provided by crunchbase
