Design, develop, and deliver solutions that will enhance and add value to new and existing data assets for broad industry application and aligned with business and market requirements.
Develop algorithmic and rule-based models and analytic capabilities based on rules engine, machine learning, mathematical modeling, pattern recognition, and data mining techniques.
Perform data analysis, feature engineering and model development using a variety of analytic techniques, tools, and programming languages to provide business insights and analytic products.
Create model reports for stakeholder review and model documentation.
Perform pattern recognition model creation and training using various types of algorithms and machine learning modeling techniques for unknown or less well-defined problems.
Develop analytics using Python, PySpark and other big data tools such as AutoML, BigQuery(BQ), BQML, DataPrep and Jupyter Notebook.
Develop analytics solutions using traditional database technology such as SQL and big data technology such as Hadoop, MongoDB, Cassandra, Redis, PostgreSQL and Neo4j, NoSQL databases.
Perform complex data analysis on large volumes of property and consumer data and present model performance to stakeholders.
Requirements
Master’s or higher in artificial intelligence, data science, computer science, math, statistics or engineering field, or equivalent work experience.
10+ years of directly related experience.
Strong problem solving and analytical ability.
Strong communication skills.
Demonstrated knowledge of statistical techniques.
Data mining/data analysis experience.
Strong working knowledge in multiple analytic development tools, statistical tools, programming languages, and big data tools.
Working knowledge in cloud platform (e.g. AWS, GCP), cloud-based sandbox environment and analytics sandbox and libraries.
Ability to lead small team in technical projects.
Tech Stack
AWS
BigQuery
Cassandra
Cloud
Google Cloud Platform
Hadoop
MongoDB
Neo4j
NoSQL
Postgres
PySpark
Python
Redis
SQL
Benefits
Generous PTO and 11 paid holidays, plus well-being and volunteer time off.
Up to 16 weeks of fully paid parental leave and a baby stipend.
Multiple medical plan options with mental health and wellness support offerings.
401(k) with company match and vesting after one year.
$400 annual well-being stipend and tuition assistance up to $5,250.
Recognition Rewards, Referral bonuses, exclusive discounts and more!
Principal Machine Learning Scientist at Cotality | JobVerse