- UpvoteDownvoteShare Job
- Suggest Revision
Proficient understanding of relational (e.g. Oracle, SQL Server, PostgreSQL) and Big Data distributed structures (Hadoop/Spark) in order to source data effectively. The Data Scientist is responsible for using advanced statistical, algorithmic, machine learning, data mining and visualization techniques to help advance and complete client projects.
ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Leverage integrations with big data frameworks (e.g. Databricks) as needed to develop solutions for customers. 3+ years of experience with Python Data Stack: pandas, numpy, sklearn, TensorFlow, PyTorch, matplotlib, etc.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Work on small projects analyzing a variety of big data covering national security, cyber security, business intelligence, online social media, human behavior and more. Previous experience performing research in data analytics or big data.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Big Data Technologies:Distributed Computing: Tools like Apache Spark, Hadoop. Big Data Storage: Technologies such as HDFS, Apache Cassandra, or cloud storage solutions. Software Engineering & DevOps:Version Control: Familiarity with tools like Git. Continuous Integration/Continuous Deployment: Knowledge of pipelines and tools like Jenkins, Travis CI. Containerization: Familiarity with Docker, Kubernetes, etc., for scalable deployment of data science applications.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Use of Big Data tools including Apache Spark, Databricks, Sagemaker and MLFlow. Data Architecting a data lake and/or data warehouse model including defining the use of standard conventions using cloud components (AWS S3, AWS Redshift, AWS Aurora Postgres.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Experience with big data processing frameworks, such as Apache Spark, Hadoop, or Apache Kafka on Azure. Strong experience with Azure cloud services, such as Azure Data Lake Storage, Azure Data Factory, and Azure Databricks.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Job Description Support GDIT's FedCiv business areas by developing solutions to deliver capabilities, focusing on Data Science, Machine Learning, and emerging artificial intelligence (AI) capabilities.
$150ExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.
$250ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
As an AWS Big Data Architect, you will be at the forefront of architecting and provisioning enterprise-level Cloud services, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Demonstrating relevant project management experience in organizing and leading teams including Big data engineering (Hadoop, Spark, Scala, Kafka) and ETL pipeline development (tools: IICS/AWS Glue/SAP BODS/ SSIS/SnapLogic); preferable in P&C Insurance data warehouse.
$150ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
Familiarity with developing Data Pipeline, ETL/ELT, utilizing tooling of Big Data Platform, Datalake, Synapse, Airflow, or Snowflake. Experience with Big Data technologies such as HBase, Hive, Spark, Graph DB and Cassandra.
Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
- Suggest Revision
This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Specializing in Accelerated Development Services (agile application development, mobile, systems integration, project and program management), Architecture Services (SOA, microservices, Cloud), Data Services (DW, BI, Big Data), Testing, Cyber Security and DevOps, SESC is guided by a corporate mission to provide valuable solutions to our client s technology needs through responsive quality services.
$150Full-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Big Data Skills (Azure, Hadoop, Spark, recent deep learning platforms) In this data scientist position at Leidos Arlington, VA.office, the candidate we be a strong Python coder with knowledge in using ML libraries like SciKit Learn, TensorFlow, Keras on both CPU and GPU compute architectures.
Full-timeExpandApply NowActive JobUpdated Yesterday
big data jobs Title: data in Bethesda, MD
FEATURED BLOG POSTS
The Roadmap to Get Into Consulting
Consulting is a dynamic and challenging career field that offers many opportunities for people who enjoy problem-solving, strategy, and innovation. Believe it or not, consulting isn't necessarily a senior-level position. You can pursue a career in consulting as a recent graduate or a mid-career professional looking to switch careers. While pursuing a consulting career can be rewarding and fulfilling, it is challenging to break into because it is so competitive.
How To Decorate a Cubicle for Inspiration & Productivity
You know the negative reputation cubicles have – dull, dreary, gray. How can you possibly be expected to sit in one every day and be your naturally productive, enthusiastic, and upbeat self? The answer lies in decorating your cubicle so it sparks creativity and feels welcoming. While this might seem impossible given the bland canvas you have to work with, take heart because it’s totally doable!
How do Employers Verify Education?
At any stage in your professional journey, you may come across an employer or a recruiter who asks to verify your educational credentials. This shouldn’t come as a surprise as 30% of candidates admitted to lying on their resumes, yet 79% of them never get caught. In fact, 85% of employers in the US who conduct background checks find that candidates have lied on their resumes or job applications.
How to Be More Articulate and Speak More Clearly
Have you ever had those moments when you're talking to someone and have no idea what they are saying? The best response you can muster up is a simple head nod or blind agreeance?
How to Ask for a Higher Starting Salary
Maybe you think you’ve finally found your dream job. Everything about it is perfect, except… the salary. Unfortunately, it just isn’t where you want it to be. So, should you give up and move on? Given all the effort you’ve already invested, it’s probably wise to try and negotiate a better salary before you do.
How to Pass a Personality Test with Flying Colors
Whether you’re applying for your first job or looking to move up the career ladder, personality tests aren’t usually the first thing we think about. But surprisingly, they can have a massive impact on how our future employers perceive us. In fact, a 2017 study by the Society for Human Resource Management (SHRM) has found that 32% of U.S. employers use personality tests when hiring for senior management positions, and 28% use them for middle management positions. Personality tests are also used for hourly workers and contractors, though less frequently.
10 Practical and Effective Strategies to Persuade Anyone of Anything
Learning how to persuade people is like a key that can unlock any door. Acing the interview for the job of your dreams. Getting the best deal on a new car. Closing a sale with a skeptical customer. All of these wins require a level of persuasiveness.