Principal Data Architect, Data Science

This is a fully remote position, open to applicants in United States.

📋 Description

• Design and develop data ingestion pipelines for feature engineering and machine learning initiatives.

• Generate predictive features utilizing healthcare data, statistics, and data science methodologies.

• Execute feature extraction and selection through techniques such as clustering, text analytics, and PCA.

• Carry out exploratory data analysis to uncover patterns, trends, and relationships.

• Test various statistical and machine learning techniques to construct, refine, and enhance predictive models.

• Deploy production code in accordance with engineering best practices.

• Document processes and effectively communicate methodologies, insights, and solutions to both technical and non-technical stakeholders.

• Develop and sustain pipelines and processes that support enterprise-level data science products.

• Ensure the accuracy and reliability of data and outputs.

• Collaborate with stakeholders, data scientists, data engineers, and product managers to deliver impactful data products.

• Utilize Google Cloud and Salesforce platforms to assist clients in leveraging data and insights for actionable outcomes.

⛳️ Requirements

• A minimum of 6 years of experience in data science and machine learning (for the Lead level).

• Proficient in SQL and Python at an expert level.

• Hands-on experience with both structured and unstructured data, including tables, text, images, and video.

• Familiarity with relational (SQL) and non-relational (NoSQL) databases.

• Knowledge of ETL and data processing tools, such as Apache Spark.

• Experience utilizing tools for data visualization and monitoring data health.

• Comfortable with automated testing and CI/CD practices.

• Experience with Docker.

• Background in deploying applications to GCP or other cloud platforms.

• All positions are subject to standard hiring verification processes, which may encompass background checks and employment verification.

🏝️ Benefits

• Comprehensive Health Insurance.

• Paid Leave (Vacation/PTO).

• Paid Holidays.

• Sick Leave.

• Parental Leave.

• Bereavement Leave.

• 401 (k) Employer Match.

• Employee Referral Bonuses.

• Background checks, employment verification, and other standard hiring verification practices.

• Commitment to equal opportunity, inclusion, diversity, and equity.

• Reasonable accommodations provided during all stages of the selection process.