Senior Data Scientist – Content

Job not on LinkedIn

🕒 October 12

🇺🇸 United States – Remote

💵 $170k - $200k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 2%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Hotel Engine

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

🏨 Hospitality

📦 Logistics

🛍️ eCommerce

💰 $65M Series B on 2021-12

Hospitality • Logistics • eCommerce

Hotel Engine is a powerful platform that simplifies business travel by allowing companies to easily book, manage, and save on travel needs. The platform offers access to over 750,000 hotels globally, enabling seamless reservations for various group sizes, from small teams to large corporate events. With features like centralized reporting, flexible payment options, and dedicated support, Hotel Engine aims to streamline the travel experience for both organizations and individual travelers, ensuring significant savings in time and money.

📋 Description

• Develop and implement data science strategies for lead scoring, churn modeling, pricing, personalization, and fraud detection • Collaborate with engineering and business stakeholders to deliver actionable insights and measurable business impact • Drive end-to-end data science initiatives, including data gathering and analysis, feature engineering, model selection and training, inference, and monitoring • Enhance data infrastructure and analytics capabilities with data infrastructure and analyst teams • Communicate findings to technical and non-technical audiences

🎯 Requirements

• 5+ years of industry experience as a Data Scientist/ML Engineer in high-growth environments • Strong expertise in machine learning algorithms and statistical modeling • Proficiency in Python, including scikit-learn, numpy, and pandas • Proficiency in SQL • Experience with Snowflake and Streamlit is a plus • MS/PhD in a quantitative discipline such as Mathematics, Statistics, Operations Research, Economics, Engineering, or Computer Science • Ability to present findings clearly to technical and non-technical stakeholders • Willingness to take initiative and drive meaningful impact in a fast-paced, dynamic environment

🏖️ Benefits

• Equity for all employees • Annual bonuses or commissions may be available depending on the role • Hybrid-hub model with fully remote or office-based environments • Benefits package; details provided at engine.com/culture

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