| Machine Learning Lead & Data Scientist Lead Roles at Atlanta, Georgia, USA |
| Email: [email protected] |
| From: Ryan, nitya software [email protected] Reply to: [email protected] Role: Machine Learning Lead Location: Atlanta GA Contract Role Requirements Bachelors degree in a STEM field such as Statistics, Math, Engineering, Information Systems, etc. 5 years of work experience deploying and maintaining ML pipelines in production 5 years of work experience with Docker and containerization. 5 years of work experience with Kubernetes and container orchestration platforms. 5 years of work experience with Python, Java, Scala, or Go development. 5 years of work experience with cloud platforms (e.g., AWS, GCP, and/or Azure) with particular experience with ML & Data offerings operating and deploying solutions using AWS Service including, but not limited to, S3, EKS, EMR, Athena, Glue, Lambdas, Athena, Kinesis, MSK, Sagemaker, SQS and SNS (or correlated offerings on other cloud platforms). 5 years of work experience with CI/CD tools (e.g., Jenkins, TravisCI, Bamboo). Good communication and presentation skills to explain technical solutions to either technical peers or non-technical stakeholders. Willingness to collaborate with colleagues to achieve repeatable high quality outcomes as a team. Preferred Skills Masters degree in a STEM field such as Statistics, Math, Engineering, Information Systems, etc. 2 years of work experience with infrastructure-as-code (e.g., Terraform, Ansible, Chef). 5 years of work experience with Apache spark 5 years of work experience with cloud platforms such as AWS, GCP, and/or Azure. Understanding of test-driven development. Willingness to improve test coverage of existing codebase. Role: Data Scientist Lead Location: New Jersey Contract Role The Data Scientist will support Data Science and BI efforts for the consumer business of customer. The main responsibility lies in analyzing consumer data from devices, app stores, analytics systems, data lakes, and the database to provide quality data for quality AI and BI solutions. A good candidate is someone who is proficient in Python/PySpark, able to analyze data through visualization/tables/pivot tables, organized, and detail oriented. Expert level knowledge in SQL queries and database structure is also a must. To be successful in this role, the Data Scientist will focus on below areas 1. Work with the consumer Analytics team to understand data fields definitions in the analytics systems, KPIs, and business metrics that are tacked by stakeholders 2. Work with the Data Innovation & Ingestion team to understand consumer data events, user database, aggregations, and transformations 3. Work with the Product Engineering/Architecture teams to understand systems, data flows, and events that go into data environments 4. Work with the Product/Business owners to understand business rules and logic 5. Be a data advisor to Data Scientists and Business Intelligence team when it comes to using consumer data to build AI and BI solutions 6. Use Python/PySpark to visualize data, analyze volumes, trends, and create pivot tables. Summarize data quality issues and areas for investigations. Requirements: Bachelors degree in a STEM field such as Statistics, Math, Engineering, Information Systems, etc. 7 years of work experience in data/business analysis, analytics, data visualization, reporting, or data engineering 7 years of work experience in Python/PySpark for data extraction, transformation, and analysis 7 years of work experience in querying data using SQL and BI tools 7 years of work experience in databases and pulling data with table joins 7 years of work experience with cloud platforms such as AWS Good communication and presentation skills to explain technical solutions to either technical peers or non-technical stakeholders Preferred Skills: Masters degree in a STEM field such as Statistics, Math, Engineering, Information Systems, etc. 5 years of work experience in data/business analysis, analytics, data visualization, reporting, or data engineering 5 years of work experience in Python/PySpark for data extraction, transformation, and analysis 5 years of work experience in querying data using SQL and BI tools 5 years of work experience in databases and pulling data with table joins 5 years of work experience with cloud platforms such as AWS Keywords: continuous integration continuous deployment artificial intelligence machine learning business intelligence sthree information technology golang Georgia Machine Learning Lead & Data Scientist Lead Roles [email protected] |
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| Wed Jul 24 20:16:00 UTC 2024 |