Senior Data Scientist at SDG Consulting bridging technical execution and business strategy. Focused on Recommendation Engines and stakeholder communication in a hybrid role.
Responsibilities
Lead the deployment of data science solutions and drive change management initiatives, working hand-in-hand with sales teams to ensure successful adoption.
Quickly pick up, understand, and navigate existing production codebases to optimize and scale models efficiently.
Design, refine, and implement advanced Recommendation Engines tailored to business needs.
Act as a strategic liaison to the business, translating complex data science concepts into actionable insights for non-technical audiences, particularly sales professionals.
Create high-quality, executive-level presentations (PPT) and deliver them with confidence and clarity.
Take full ownership of your workstreams, driving projects forward proactively and with minimal hand-holding.
Design and execute A/B testing frameworks to measure model effectiveness and business impact.
Requirements
Highly experienced Data Scientist; this is a senior role and is not suitable for junior or entry-level candidates.
Must be based in or willing to commute to Chicago, IL or New York City, NY.
Highly skilled Python programmer with deep expertise in Recommendation Engines.
Hands-on experience with PySpark and Databricks is strongly preferred.
Exceptional presentation and PPT skills; native-level or highly fluent English proficiency is required to effectively influence and align with US-based business stakeholders.
Previous consulting or industry experience with Spirits or Retail clients is a major plus.
Formal project management skills or certifications (e.g., PMP, Six Sigma Black Belt) are highly desirable.
Benefits
Robust healthcare and benefits package including Medical, Dental, Vision, and Disability coverage.
A competitive salary and a 401(k) retirement plan with an employer match.
3+ weeks of paid vacation.
Flexible holiday schedule.
Hybrid working arrangements that balance on-site and remote work.
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