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Title: Data Scientist
Location: Remote, USA
Type: Full-time
Workplace: remote
Category: Technology
JobDescription:
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 youll 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