Data Science, Senior Manager

R2Net is a diamond and jewelry company with a technology soul. As a subsidiary of Signet, R2Net manages both the Blue Nile and James Allen brands while providing innovative e-commerce and supply-chain platforms to the diamond industry as a whole – including manufacturers, retailers, and consumers.  

As Senior Manager, Data Science, you will build out best-in-class modeling and analytical capabilities across R2Net, shortening the critical path between measurement and action. During the past decade, R2Net has invested in a rich ecosystem of versatile data assets, and you will now be charged with transforming that data into value for the organization. To achieve this, you will oversee the development and deployment of models across a wide range of functional areas – including Finance, Operations, Marketing, and Customer Service – and will design and implement dashboards, reports, and visualizations to make the team’s results understandable for business users across the company.

Working with a mix of Data Engineers, Analysts, and Data Scientists, you will design statistically rigorous experiments and scalable A/B testing frameworks, implement algorithmic recommendation models, and conduct forecasting, clustering, and regression analyses. To ensure that the analytic and modeling work of the team achieves broad & effective usage, you will also have core ownership of reporting and dashboarding, thought leadership, and the mentoring & training of associates – your expertise will keep our analytics pipeline focused not only on model optimization, but on true business impact.  By seamlessly translating between the business and data domains, you will solve problems in the realms of pricing, forecasting, supply-chain management, digital measurement, and assortment optimization – all while working to grow the overall analytical skills of the organization.

You will be equally at home working with senior stakeholders, designing technical requirements for our Engineers and Data Scientists, and engaging with the data itself. These competencies will allow you to establish cutting-edge analytic processes through the org, and your leadership abilities, analytic acumen, and technical proficiency will help you embed a data-driven culture into all of R2Net’s key decision-making pipelines.

Core Responsibilities:

• Data Scientific Modeling: Design and construct predictive models and analytic decision-making pipelines, turning raw data into action-recommendations for users across R2Net
• Reporting: Build, support, and maintain a wide range of dashboards and reports, ensuring that each asset features rigorous analytic approaches and strong visual design
• Experimentation: Conduct experiments in pricing, marketing, website design, and user recommendations, building rigorous A/B testing frameworks and strong causal inference models
• Culture: Guide the analytic culture of the organization by training & mentoring associates, establishing communities of practice, and creating data governance standards for R2Net
• Data: Take ownership of the structure, availability, completeness, and accuracy of R2Net's data, ensuring that each component of our analytic processes can be trusted and relied upon.
• Insights: Fulfill ad-hoc research and analytic requests across a wide variety of domain spaces and present core insights to stakeholders and business leaders.

• Bachelor's degree in Computer Science, Economics, Statistics, Marketing, or a related field
• 8+ years in analytics, BI, or data science, with 3–5 years of direct team leadership.
• Expert-level fluency in both SQL and Tableau, with the ability to communicate these skills to others.
• Proven experience leading analytics strategy at scale, preferably across multiple business units.
• Demonstrated ability to manage managers and multi-disciplinary teams.
• Broad experience across a wide variety of analytic domain spaces (revenue management, assortment, forecasting, digital optimization, segmentation, etc).
• Excellent relationship management, communication, and data-presentation skills, including a strong eye for the creation of compelling visual narratives.
• The ability to take initiative, act independently, and function under ambiguity.
• A penchant for innovation.
  

Helpful, but not required:  

• Experience with Snowflake and associated tools 

• Familiarity with data engineering pipelines and systems (dbt, airflow, etc) 

• Hands-on data-scientific modeling experience in R or Python 

• Knowledge of best-practices in data-governance and data-security 

• Exposure to database administration principles and schema design  

• Competency in Agile-based approaches and frameworks 

At R2Net - James Allen & Blue Nile, many of our roles offer a high-quality, comprehensive benefits package including healthcare, paid time off, retirement planning and opportunities for career advancement. Some offerings are dependent upon the role, employment type, work schedule or location:

• Paid time off
• Medical, Dental, Vision and Prescription Insurance
• 401(k) Retirement Plan with company match
• Flexible spending account
• Health savings account
• Tuition Reimbursement
• Employee discount
• Parental leave
• Life insurance

Annual base pay: $130,000 - $160,000. Final pay rate shall be determined and is based on experience and qualifications.

At this time, R2Net will not sponsor a new applicant for employment authorization for this position.

Additional Information: R2NET INC. is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status or any other basis prohibited under applicable federal, state or local law. R2NET INC. will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. #LI-WK1