Beekin ®

Senior Data Scientist

Posted: 16 minutes ago

Job Description

About BeekinBeekin is revolutionizing the real estate industry with advanced AI solutions that enhance affordability and community for renters. Our platform leverages big data and machine learning to empower investors, developers, and financiers to navigate the real estate market effectively. We take pride in our innovative culture and achieving significant results for our clients while always keeping the human aspect of housing in focus.We are seeking a Senior Data Scientist to join our dynamic team. As a Senior Data Scientist at Beekin, you will play a pivotal role in designing, building, and implementing sophisticated predictive models and algorithms that will enhance our suite of products.Your Responsibilities:Develop machine learning models from conception to production, focusing on real-world applications within the real estate spaceAnalyze large sets of data to derive actionable insights and drive strategic decisionsCollaborate with engineers, product managers, and domain experts to enhance model performance and user experienceUtilize strong statistical knowledge to validate modeling assumptions and interpret resultsMentor junior data scientists, fostering a culture of learning and innovation within the teamStay current on industry trends and emerging technologies to ensure that Beekin remains at the forefront of data science applicationsRequirementsMS's or Ph.D. degree in Data Science, Statistics, Mathematics, or PhysicsA minimum of 5 years experience with python and 2 years with SQLProficient in Python libraries such as Pandas, NumPy, Scikit-learnOptional: Experience with big data technologies (e.g., Spark, Hadoop) is highly desirableExcellent analytical, problem-solving, and communication skills with the ability to convey complex concepts to non-technical stakeholdersExperience with cloud platforms (AWS, Azure, or GCP) is preferredFamiliarity with real estate or finance domains is a plusBenefitsA career trajectory you can ownTraining & DevelopmentHybrid schedule (in-office and remote)Competitive Leave PackageAttractive Stock optionsAllowance for industry conference

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