Principal Data Scientist (Ref: 190473)
- eTail
- Hybrid, New York, United States
- contract
- $ 90.00 per hour
-
about the roleAbout Us
Our client stands out as a key player in the retail industry, specifically within the apparel and accessories sector. This organization is committed to using advanced analytics and innovative strategies to improve operational effectiveness and achieve superior business outcomes. By prioritizing sustainable practices and a customer-centric approach, they aspire to lead the market while contributing positively to societal welfare.
Job DescriptionThis opportunity calls for a Principal Data Scientist focused on enhancing supply chain efficiencies. The ideal candidate will utilize their extensive data science expertise to address complex problems and will play a vital role in aligning with the strategic objectives of the organization.
Key ResponsibilitiesThe selected candidate will exhibit strong critical thinking abilities in the context of retail and consumer packaged goods, particularly concerning optimization challenges and quantifying business impact.
A robust technical background in data science is crucial, along with the capacity to manage end-to-end model development and to influence team strategies well beyond personal contributions.
Key responsibilities will include refining pricing strategies and managing budgets effectively.
Candidates should have significant experience in the digital transformation of product offerings.
The role also entails synthesizing complex datasets into actionable insights that drive operational improvement.
RequirementsPrior experience in the retail or consumer goods sector is preferred, though exceptional critical thinking skills may offset a lack of industry background.
The organization favors self-motivated, accountable individuals who are naturally curious and possess the ability to innovate while addressing challenges autonomously.
Expertise in causal analysis within operational settings is essential.
Substantial experience in pricing strategies and forecasting is required.
The candidate must demonstrate proficiency in developing models throughout the project lifecycle.
A solid understanding of the responsibilities associated with this position is crucial.
BenefitsA competitive salary package complemented by performance-based bonuses.
Comprehensive health and wellness programs.
Access to ongoing professional development and opportunities for career advancement.
Flexible work arrangements that promote a healthy work-life balance.
OtherThis role provides an outstanding opportunity for an experienced data scientist eager to make a noteworthy impact within a dynamic industry environment. The organization promotes a collaborative culture that actively encourages innovation.

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