Data Scientist

Who you are:
You have five years of data science experience under your belt and are looking for your next challenge in a hyper-growth, fast-paced, industry disrupting, SaaS company. You are excited to work with emerging technologies and modern tech stack with a collaborative engineering team, where you will have a direct impact in the delivery of first class software products. Your experience mentoring others, working with distributed systems, relational databases, and all things software development has prepared you to take your career to the next level.Does this sound like you?
If so, keep reading and apply today!

What you’ll do:

• Design, implement, and maintain scalable data pipelines for processing, analyzing, and visualizing large volumes of mortgage-related data
• Leverage data and business principles to solve large scale application and data infrastructure problems.
• Develop predictive models and algorithms to optimize various aspects of mortgage operations, including risk assessment, customer segmentation, and financial forecasting.
• Utilize advanced statistical techniques and machine learning algorithms to extract valuable insights from complex datasets
• Collaborate with cross-functional teams to identify data-driven opportunities and deliver actionable insights to drive business decisions.
• Contribute to shared Data Engineering and Data Science tooling to improve productivity and quality of solutions for Data Engineers and Data Scientists across the company.
• Apply technical and non-technical skillsets to solve real world problems.

What you have:

• Proficiency with Python and SQL development in a production environment.
• Experience with cloud computing (AWS, GCP, etc.).
• Hands-on experience with data warehousing technologies like Amazon Redshift or similar platforms
• Ability to collect, clean, and preprocess data across disparate sources via relevant tools 
• Proficiency in designing, implementing, and maintaining scalable data pipelines and ETL processes to automate data ingestion, transformation, and storage
• Experience collaborating with stakeholders to understand business objectives, translating them into data science/engineering requirements, analyzing data, discovering opportunities, identifying gaps, and effectively communicating with stakeholders
• Deep understanding of mathematical and predictive models, statistics, probability theory, and machine learning algorithms to extract actionable insights from data
• Work with software engineers to integrate data science solutions into production systems
• Monitor and maintain deployed models and data pipelines to ensure their accuracy, efficiency, and reliability
• Ability to drive a project from concept to release.

Extras you bring to the table:

• Experience with data quality and validation
• Experience with Redshift and Snowflake
• Experience with Terraform, Kubernetes, or Prefect
• Experience in CI/CD
• Experience with Data Science workflows (Databricks or other similar notebook based tech)
• Experience querying big data using Spark, Hive, etc.

Why join Polly?

• We are attacking a trillion-dollar market with gross inefficiencies and seeking to transform the way an entire industry operates 
• We have an experienced leadership team that previously built large and impactful platforms 
• Outstanding opportunity for professional growth and upward mobility 
• Direct engagement with the decision makers and senior business leaders 
• Competitive salaries
• 100% paid medical/vision/dental/disability/life insurance 
• Flexible vacation
• Remote environment

Let’s get to know each other.
Polly is transforming the mortgage industry with its modern, data-driven capital markets ecosystem. Banks, credit unions, and mortgage lenders nationwide trust Polly’s revolutionary Product and Pricing Engine (PPE), Loan Trading Exchange, and actionable data and analytics to automate and optimize the entire capital markets value chain, helping their secondary teams operate faster, smarter, and more profitably. Polly was founded in 2019 by a seasoned team of technology and mortgage experts and is headquartered in San Francisco, California. 
To learn more, follow Polly on LinkedIn or visit www.polly.io.  Polly is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, age, color, national origin, religion, sex, gender identity, sexual orientation, marital status, pregnancy status, disability status, veteran status, or any other legally protected status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.