Experimentation Data Scientist

Harvey Nash; United States; Hybrid; USD 96,000 - 131,000; Part time

Job summary

Harvey Nash in Seattle is seeking an Experimentation Data Scientist to design, execute, and analyze digital experiments across our organization. You will coordinate test plans, apply best practices, and translate results into actionable business recommendations that improve digital experiences, merchandising strategy, and commercial performance.

Collaborating with stakeholders, you will interpret results, validate significance, and present data-driven insights.

Qualifications

• 2 years of experience in digital optimization, guest experience, analytics, quantitative sciences, or related area.
• Bachelor's degree with a focus on UX design, marketing, economics, mathematics, statistics or related discipline, or an additional 2 years of relevant training/experience in lieu of this degree.
• Advanced proficiency in Microsoft Office applications (Word, Excel, PowerPoint, and Outlook), with experience wrangling large datasets using programming languages such as SQL and/or Python.
• Energetic and self-motivated with a strong sense of curiosity; must be organized and detail oriented with proactive recommendations.
• Excellent interpersonal, verbal, and written communication skills to convey complex ideas clearly.
• Highly skilled in presenting data-driven strategic insights.
• High school diploma or equivalent.
• Minimum age of 18.
• Must be authorized to work in the U.S.

Responsibilities

• Partners with commercial stakeholders to design experiment hypotheses, success metrics, sample sizes, and test plans.
• Interprets experiment results, validates statistical significance, and develops actionable recommendations for product and commercial stakeholders.
• Communicates experiment outcomes through clear presentations and data storytelling for all audiences.
• Maintains experimentation documentation, supports governance, and contributes to continuous improvements.
• Ensures data integrity and quality by leveraging data reconciliation, integration, and auditing.
• Uses Optimizely, Python/PySpark/SQL, Databricks, Excel, Tableau, and PowerPoint to run experiments and communicate findings.

Skills

Digital optimization

SQL

Python

Excel

Data storytelling

Communication skills

Attention to detail

Education

Bachelor's degree in UX design, marketing, economics, mathematics, statistics or related

High school diploma or equivalent

Tools

Optimizely

Python

PySpark

SQL

Databricks

Tableau

PowerPoint

Excel

Job description

Employment Type: Contract

Duration: 6 Months with high possibility of extension

Location : Seattle, Washington

Mode : Hybrid

Tax Terms: Strictly W2

Job Description:

The Experimentation Data Scientist supports the design, execution, and analysis of digital experiments across our group. As an individual contributor, this role works independently to coordinate experimentation initiatives, execute test plans using established best practices, and translates results into actionable business recommendations that improve digital experiences, merchandising strategy, and commercial performance.

Key Duties

• Partners with commercial stakeholders to help design experiment hypotheses, success metrics, sample sizes, and test plans to evaluate digital experiences.
• Interprets experiment results, validates statistical significance, and develops actionable recommendations for product and commercial stakeholders.
• Communicates experiment outcomes through clear presentations and compelling data storytelling, enabling stakeholders to understand results, trade-offs, and recommended actions.
• Maintains experimentation documentation, supports governance, and established best practices, and contributes to continuous improvements that increase experimentation efficiency and consistency.
• Ensures data integrity and quality by leveraging proven methodologies, including data reconciliation, data integration, and data auditing.
• Uses a strong technical toolkit, including Optimizely for testing, Python/PySpark/SQL for programming and analysis, Databricks and Excel for data manipulation, and Tableau and/or PowerPoint for reporting, to run experiments, analyze results, and communicate findings clearly.

Job-Specific Experience, Education & Skills

Required

• 2 years of experience in digital optimization, guest experience, analytics, quantitative sciences, or related area.
• Bachelor's degree with a focus on UX design, marketing, economics, mathematics, statistics or related discipline, or an additional 2 years of relevant training/experience in lieu of this degree.
• Advanced proficiency in Microsoft Office applications (Word, Excel, PowerPoint, and Outlook), with experience wrangling large datasets using programming languages such as SQL and/or Python.
• Energetic and self-motivated with a strong sense of curiosity - must be extremely organized and detail oriented with an ability to make proactive recommendations.
• Excellent interpersonal, verbal, and written communication skills to communicate complex ideas to various audiences in both a technical and user-friendly language.
• Highly skilled in presenting data-driven strategic insights.
• High school diploma or equivalent.
• Minimum age of 18.
• Must be authorized to work in the U.S.

Preferred

• Experience in the airline industry.
• Understanding of causal and uplift models.
• Prior work in retail, guest experience, e-commerce, or consumer-facing technology environments.
• Hands-on experience working in Databricks and enterprise cloud platforms, preferably GCP.
• Advanced working knowledge of experimentation design, implementation, and tools (AB, MVT, Multi-Armed Bandit; CSS, HTML; Optimizely).
• Experience with Python/Apache Spark (PySpark) and scientific related frameworks (e.g., Scikit-Learn, NumPy, SciPy, and similar tools).
• Ability to establish cross-functional, collaborative relationships with other teams, valuing diversity, and inclusivity.