Experience in the areas of design and implementation of Ratings Data Ingestion pipelines with modern AWS cloud and other technologies such as S3, Hive, Databricks, Scala, Python and Spark.

Demonstrated experience in applying advanced analytics techniques, including predictive modeling, machine learning, regression analysis and/or A/B Testing, to solve complex business problems.

This candidate should be proficient in using BI tools such as Tableau, in addition to experience with one or more modern technologies such as relational databases, AWS, Snowflake, Python, Databricks, Git, and Machine Learning.

We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Data Analyst/AI/Machine learning Positions. Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions with clients.

Leading initiatives to incorporate Machine Learning into projects and BAU activities. 1+ year of experience building Machine Learning frameworks. Professional Certification (Security+, Data+, Cyber Security Analyst+, or Systems Security Certified Practitioner.

A little about ADP: We are a global leader in HR technology, offering the latest AI and machine learning-enhanced payroll, tax, HR, benefits, and much more. Two (2) years of experience must include: Java, J2EE; Java spring boot; JMS; SOA; OOAD; OOP; JEE design; React / Angular; Typescript / JSX; Javascript; Eclipse; Spring Tools; Visual Studio Code IDE; IntelliJ IDE; Server-side application frameworks, including JSP and Servlet; Restful and SOAP-based web services, including JSON and XML; Unit testing frameworks, including Junit and Jest; SQL Data Store – MySQL; AWS RDS / DB2; and Azure Kubernetes Services (AKS.

Experience with more than one data cataloguing, data governance, data quality, data privacy and master data management (Informatica, Ataccama, Collibra, Alation, Global Ids, Big Id, etc.

Draw on experience with Github, machine learning, advanced programming in SQL and Python, Cloud computing such as AWS, Google and Azure, Tableau, and Simio to design, develop and implement a broad array of business analytics that solve complex problems in a computationally efficient manner by leveraging advanced understanding of statistics and data science.

Experience with either:Developing data- and outcomes-driven approaches to delivering digital learning experiences either as an instructor/educator, content creator, editor, instructional designer, or learning experience designer, orAt least 5 years of experience in educational publishing; educational content creation; teaching experience in high schools, community colleges, or universities; and/or creative roles within edtech.

Understanding of strengths and weaknesses in application of Machine Learning and Artificial intelligence to applications in Transaction monitoring and Sanctions screening. Furthermore, the person is expected to lead the day-to-day governance responsibilities such as ongoing performance monitoring, orderly remediation of findings, and annual reviews.

Strong knowledge of enterprise Information Security pillars (Perimeter security, Identity Management and Governance, Privileged Account Management, Compliance, Penetration testing, Encryption, Cloud Security, Incident Response, Vulnerability Management.

As a Director, Data Scientist for Finance and Actuarial, you will partner with Machine Learning Engineers, Data Engineers, Data Analysts and other specialists to transform financial and actuarial processes by building state-of-the-art actuarial, financial, and behavioral models.

You will collaborate closely with partners in editorial, product, sales, and implementation to inform the development of engaging digital learning experiences, considering the potential of generative AI. You will champion evidence-based teaching methods, envision equitable digital solutions, and continuously iterate and improve our products based on insights from data and user feedback.

Data services layer including ATHENA, redshift, RDS, microservices and APIS. Migrate data from traditional file systems and NAS shares to AWS data lake (S3) and relational databases such as Amazon RDS, Aurora, and Redshift.

9 years' experience in data science, machine learning, optimization models, or related field. Experience leveraging cloud based big data technologies (Hive/Hadoop) and modern data visualization tools (Tableau, ThoughtSpot, Looker) to blend data from multiple sources to help answer multi-dimensional business questions.