Senior Data Scientist

Since its inception in 2003, driven by visionary college students transforming online rent payment, Entrata has evolved into a global leader serving property owners, managers, and residents. Honored with prestigious awards like the Utah Business Fast 50, Silicon Slopes Hall of Fame - Software Company - 2022, Women Tech Council Shatter List, our comprehensive software suite spans rent payments, insurance, leasing, maintenance, marketing, and communication tools, reshaping property management worldwide.
Our 2200+ global team members embody intelligence and adaptability, engaging actively from top executives to part-time employees. With offices across Utah, Texas, India, and the Netherlands, Entrata blends startup innovation with established stability, evident in our transparent communication values and executive town halls. Our product isn't just desirable; it's industry essential. At Entrata, we passionately refine living experiences, uphold collective excellence, embrace boldness and resilience, and prioritize diverse perspectives, endeavoring to craft a better world to live in.
Embark on a rewarding journey at Entrata, where your advanced skills in data science will drive innovation and shape the future of our products. As a Senior Data Scientist, you will lead initiatives for data-driven decision-making, collaborating with cross-functional teams to optimize and enhance our offerings. Join us in fostering a culture of excellence and be a key contributor to the success of Entrata's long-term roadmap. If you are a seasoned professional with a passion for cutting-edge technologies and a commitment to best practices, this senior-level opportunity awaits you at the forefront of SaaS innovation.

Responsibilities:

• Utilize your advanced skills in quantitative analysis, data mining, and statistical modeling to generate impactful features and AI/ML based capabilities for Entrata products.
• Lead initiatives for data-driven decision-making, enhancing the creation, completion, and adoption of our products with a focus on optimization and efficiency.
• Foster strong collaboration with product managers, engineers and designers to align data science initiatives with product goals.
• Employ innovative and forward-thinking approaches to identify and evaluate new opportunities for AI/ML contributions within Entrata’s long-term roadmap.
• Execute machine learning and statistical analyses to create practical, scalable, and robust product solutions related to prediction, forecasting and LLMs.
• Champion best practices in quantitative analysis and strengthen cross-functional relationships.
• Work alongside engineers and product managers on scoping, ideating, and developing code-based proofs of concept, sharing knowledge and upscaling colleagues in a supportive and engaging manner.

Minimum Qualifications:

• Strong understanding of inferential statistics, experimentation, and machine learning models, with emphasis on feature engineering and model robustness.
• Expertise in NLP/NLU/NLG models, including LLMs, NERs, Sentiment Analysis, and Topic Modeling.
• Proficiency in AI/ML production pipeline, with hands-on experience in AWS ecosystem, GitHub, Terraform, and cloud-based ML services like AWS SageMaker, Google AI Platform, or Azure Machine Learning.
• Proven project management skills leading data projects from conception to implementation, including defining scopes, data gathering, analysis, and stakeholder presentations.
• Commitment to sharing best practices, creating comprehensive documentation, and staying updated with the latest technologies and methodologies.
• Experience in containerization and orchestration technologies like Docker, Airflow, and Kubernetes, particularly in the context of ML workflows.
• Understanding of data governance, privacy, and ethical considerations in AI/ML.
• Educational background with a BS/BA degree in statistics, mathematics, economics, computer science, or related fields emphasizing statistical analysis and machine learning.
• 5+ years of quantitative analysis and data science experience.
• 5+ years of proficiency using SQL, Python, and applied statistical techniques such as inferential methods, causal methods, A/B testing, or statistical modeling techniques.

Preferred Qualifications:

• Advanced degree in statistics, mathematics, economics, computer science or other degrees with a strong emphasis on statistical analysis and machine learning.
• Experience with specific LLM technologies like OpenAI, Cohere, and Hugging Face along with open source projects such as Langchain and LlamaIndex.
• Demonstrated experience in a product-focused role within a SaaS technology company is a key differentiator.
• Ability to work 3 days from our office in Lehi, UT.

#LI-Remote