Principal Machine Learning Scientist (REMOTE)

Key Skills

Java Programming, Python Programming, SQL, XML-JSON, Azure, Big Data Technology, Apache Hadoop, Scala Programming, Machine learning techniques, Data science techniques, Data Analytics, PySpark, SPARK Programming, HBase, Parquet, Data Lake, ETL frameworks, Avro

Job Description

We have an exciting opportunity to join the RAD team as a Senior Machine Learning Scientist! As a Senior Machine Learning Scientist, you will assess unusual circumstances and uses sophisticated analytical and problem-solving techniques to identify causes. You will also resolve and assesses a wide range of issues in creative ways and suggest variations in approach for designing, prototyping, building, and enhancing our Machine Learning Platform.

We are looking for a motivated, high-energy, self-starter and problem solver with a positive attitude, a strong work ethic, and solid interpersonal and communication skills. You will work both independently and in a team environment.

Required Job Skills:

• Experience working with Data Scientists and/or Analytics team in building analytics products
• Experience building complex, multi-source pipelines for data aggregation, segmentations, and KPI measurements
• Experience in development of Analytics products
• Experience developing ETL pipelines
• Ability to re-construct ill-defined data needs into concrete project deliverables
• Ability to develop collaborative relationships with multi-functional teams
• Strong programming experience in SQL and Python
• Knowledge of Big Data technologies such as Spark, Hadoop, HBase, Scala/Pyspark
• Experience in Azure Ecosystem (Azure Data lake, Azure Data Factory, Azure Data Bricks, Azure Storage, CosmosDB), ADO is a plus
• Knowledge of the Snowflake platform
• Knowledge of operationalizing experimental Snowflake queries with DBT
• Experience applying machine learning in information retrieval domain such as search engines, natural language processing preferred
• Experience with network-based featurization preferred

Qualifications:

• 5+ years of data analytics experience
• 3 years of experience building pipelines for data aggregation, segmentations, and KPI measurements
• 3 years of experience in designing data collection and feature construction effort from start to finish
• 3 years of experience working with Analytics or Data Science teams in developing analytics products
• 3+ years of experience with SQL, Python/PySpark
• 2+ years of experience with various data types (AVRO, JSON, PARQUET preferred)
• 2+ years of experience with Azure Ecosystem
• Experience developing and automating ETL pipelines on Azure platform
• 1-year experience building graph queries for graph databases preferred
• Bachelor’s degree and a minimum of 5 years of related experience; or a related & relevant master’s degree with 3-5 years of related experience; or equivalent work experience.

Benefits:

At GEICO, we make sure you have the support and resources to leverage and develop your skills, secure your financial future, and take care of your health and well-being. GEICO continually seeks to provide a workplace where everyone can be their authentic self. To help achieve this goal, we support associate-led Employee Resource Groups that foster a true sense of community. Through GEICO’s competitive benefits offerings and various training and development opportunities, we have you covered with our Total Rewards Program* that includes:

• Premier Medical, Dental and Vision Insurance with no waiting period**
• Paid Vacation, Sick and Parental Leave
• 401(k) Plan with Profit Sharing
• Tuition Reimbursement
• Paid Training and Licensures