Entrata
Senior Data Scientist
Job Description
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.
Benefits: Flexible and transparent culture with remote and hybrid work options, generous vacation time, and frequent company recharge days for work-life balance.
Comprehensive medical, dental, and vision coverage, including fertility benefits, available for eligible employees and their families.
HSA/FSA options and employer-paid disability benefits provided for eligible employees.
Access to 401(k) or similar retirement plans with employer matching for eligible employees, ensuring long-term financial security.
Wellness initiatives promoting physical and mental well-being, access to an onsite gym at HQ, mental health resources, wellness challenges, and employee assistance programs.
Family-centric leave policies supporting new parents during significant life events.
Entrata Cares programs offering opportunities for volunteerism, charity events, and giving back to our community.
Exclusive Previ cell phone plan and discounts on services or local business partnerships for additional employee benefits.
Access to the Entrata apparel store for discounted branded merchandise and apparel.
But members of the Entrata team aren’t just intelligent and ambitious, they’re the living embodiment of another core Value: “Teamwork and Collaboration.” Entrata is dedicated to creating a workplace where a diverse and inclusive team thrives in an environment free from discrimination. We provide equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status, or any other applicable characteristics protected by law.
It’s a great place to work! Will you join us?
