Senior Analyst Real Estate Market Research
Dick's Sporting GoodsFull Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Candidates should possess a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field, with 5+ years of experience as a Data Scientist and 2+ years in multifamily, commercial real estate, or proptech. Proficiency in Python, SQL, database technologies, deep learning frameworks (TensorFlow, PyTorch), and NLP techniques is required, along with experience deploying LLM pipelines at scale. A strong understanding of statistical concepts and machine learning algorithms, excellent organizational and communication skills, and attention to detail are essential.
The Senior Data Scientist will develop and deploy predictive models using machine learning algorithms, design and implement LLM-based classification pipelines for data extraction and standardization, and leverage NLP techniques to automate property classification and enrichment. Responsibilities also include creating data visualizations and reports, collaborating with product and engineering teams to integrate solutions and assess model performance, and leading discussions on data-driven insights with stakeholders.
Automates business payments and invoicing
Routable automates business payments for enterprise and mid-market clients, streamlining accounts payable and receivable processes. The platform manages the entire payment lifecycle, including invoice processing, payment scheduling, and real-time payouts. By using Optical Character Recognition (OCR) technology, Routable can scan invoices and create payables, significantly reducing processing time by 60%. The company generates revenue through subscription fees for its platform and transaction fees for processed payments, partnering with banks to ensure secure fund transfers. Routable prioritizes security with a dedicated team monitoring systems for vulnerabilities, which helps build trust with clients. The company fosters a culture of empathy and inclusiveness, focusing on strong customer relationships and exceptional support.