Job Description:
A leading company in B2B sales is seeking a Data Scientist- Pricing to build ownership and mastery of existing ML-backed production features, and build new ML algorithms to optimize pricing, optimize auction lots and automate other human decision-making tasks such as online negotiation. The ideal candidate has a strong background in math, statistics, and machine learning, plus the ability to translate business context into effective models and data products.
Location: Remote (Eastern or Central time zones)
Responsibilities:
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Demonstrate data and domain fluency with 30 days of joining
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Develop a working fluency in the data model and data warehouse
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Operate independently on ad hoc projects and write complex SQL end-to-end
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Produce stakeholder-ready analysis for internal and external stakeholders that clearly communicates results, identifies limitations and communicates tradeoffs
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Deliver a production-ready auction lot optimization model that recommends SKU-groupings and drives 5%+ uplift in lot clearing price within 60 days
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Partner with external stakeholders to define the objective function, constraints and evaluation framework
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Lead end-to-end delivery (with guidance from the data team and CEO) from determining data requirements to deployment
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Reduce mean average percentage error of the offer clearing/negotiation model by 30%+ during the peak season within 90 days of joining
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Develop ownership of existing ML solution and begin running novel experiments to improve evaluation metrics within 60 days of joining
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Design, run, and evaluate targeted experiments to improve model performance during the industry’s peak season, when rapid price volatility reduces pricing accuracy
Requirements:
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Excellent verbal and written communication skills, with ability to convey and package technical findings in simple terms
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1-3 years of experience working as a Data Scientist
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Experience with Python
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Experience with SQL, building data pipelines and writing complex queries
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BS or Masters in a relevant field (experience in a traditional discipline such as Math or Statistics is a plus)
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Coursework, certifications, or continuing education in Machine Learning and AI
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Commitment to never sacrificing quality
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Belief that no task is beneath you
Keywords: Data science, analytics, pricing, statistics, SQL, unstructured, R, Python, ML, machine learning
Qualified candidates, please send your resume to Hazem Kamal, Hazem@analyticrecruiting.com | For more opportunities, please visit www.analyticrecruiting.com.
