Senior Data Scientist – Delivery Tech

🕒 October 14

🇺🇸 United States – Remote

💵 $160k - $200k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Gopuff

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2013

🍽️ Food & Beverage

🏥 Healthcare

🏨 Hospitality

💰 Funding Round on 2022-05

Food & Beverage • Healthcare • Hospitality

Gopuff is the go-to instant commerce platform, fulfilling consumers’ evolving, everyday needs. With an unmatched assortment that includes groceries, alcohol, home essentials, medicine, pet care, office supplies, beauty and wellness items, baby products, food and drinks, local brands, as well as alcohol and fresh prepared food in some markets, Gopuff brings a unique, reliable and magical experience to customers around the world. Founded in 2013 by Rafael Ilishayev and Yakir Gola, Gopuff created the instant needs category and continues to build the rails that define the future of commerce.

📋 Description

• Design, build and iterate algorithmic delivery fee strategies, including dynamic or contextual pricing • Develop optimization and machine learning approaches for order batching, assignment and routing • Build demand forecasts to inform driver supply planning, scheduling, incentives and pricing • Design and analyze A/B, switchback and geo/market-level experiments using causal inference • Own solutions end to end: frame problems, build features and models, deploy with engineering partners, monitor, explain and improve production performance • Partner with product, engineering, operations and finance to turn business questions into shipped solutions • Identify opportunities for machine learning, optimization and causal inference by understanding customers, delivery partners and data

🎯 Requirements

• MS or PhD in Operations Research, Mathematics, Statistics, Economics, Computer Science, Engineering or a related field, with 2+ years of experience in delivery, logistics, marketplace or pricing problems (or 8+ years of industry experience in data science) • Strong background in at least two of: pricing/revenue optimization, mathematical optimization, time-series and demand forecasting, experimentation and causal inference • Hands-on experience designing experiments in two-sided or operational marketplaces, including switchback or cluster-randomized designs and variance reduction • Ability to translate ambiguous business problems into clear technical objectives and deliver measurable results • Expertise in machine learning and statistics • Proficiency in Python, SQL and source control • Experience shipping models to production with engineering teams

🏖️ Benefits

• Medical/Dental/Vision Insurance • 401(k) Retirement Savings Plan • HSA or FSA eligibility • Long and Short-Term Disability Insurance • Fitness Reimbursement Program • 25% employee discount & FAM Membership • Flexible PTO • Group Life Insurance • EAP through AllOne Health (formerly Carebridge) • Discretionary annual cash bonus • Participation in Gopuff’s equity incentive plan

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