Be an early applicantLess than 25 applicants

Company

REI · 7 hours ago

Data Scientist II - Financial Planning and Analysis

Seattle, WA

Full-time

Remote

Entry, Mid Level

$111K/yr - $177K/yr

2+ years exp

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ApparelConsumer Goods

H1B Sponsor Likely

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Responsibilities

Develop and implement automated forecasting models for our critical enterprise KPIs using statistical and machine learning methods.

Collaborate with cross-functional teams to gather and integrate data inputs for forecasting models.

Evaluate the impact of various business strategies on key performance indicators (KPIs) and provide actionable insights.

Continuously improve forecasting accuracy by testing and refining models.

Communicate complex statistical concepts and results to non-technical stakeholders in a clear and concise manner.

Document methodologies, processes, and results for transparency and reproducibility.

Stay updated with the latest advancements in statistical modeling, machine learning, and data science.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Statistical AnalysisData ScienceSQLMachine LearningRPythonTime Series ForecastingData VisualizationAWSAzureGCPRetail Industry ExperienceIntegrated Business Planning

Required

Bachelor’s degree in Statistics, Mathematics, Economics, Data Science, or a related field + 5 years of experience in statistical analysis, data science, or a related field.

Or a Masters degree in Data Science with +2 years of experience.

Ability to work with large datasets leveraging SQL and perform data cleaning, transformation, and analysis.

Proficiency in statistical programming languages such as R or Python.

Experience with machine learning libraries and frameworks, including but not limited to time series forecasting, regression analysis, classification, clustering, and ensemble methods.

Strong analytical skills and experience in time series forecasting.

Excellent communication and presentation skills.

Strong problem-solving skills and attention to detail.

Experience in the retail industry or a similar fast-paced environment.

Familiarity with integrated business planning processes.

Knowledge of data visualization tools (e.g., Tableau, Power BI).

Experience with cloud computing platforms (e.g., AWS, Azure, GCP).

Benefits

Generous employee discount

Access to health benefits

A retirement savings plan

Accrued time off

Company

REI

Glassdoor

3.7

At Recreational Equipment, Inc. (REI), we exist to inspire and enable life outside for everyone.

Founded in 1938

Kent, Washington, USA

10,001+ employees

https://www.rei.com/

H1B Sponsorship

REI 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

Represents job field similar to this job

Trends of Total Sponsorships

2023 (8)

2022 (16)

2021 (16)

2020 (9)