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Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, and data visualization tools. Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts, data scientists, and data engineers for full-time positions with clients.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools. 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.
$150,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. A critical component of Capital One’s Financial Core, Enterprise Credit Bureau Reporting reports customers’ account data to the major credit reporting agencies in the USA: Transunion, Equifax, and Experian.
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Documented experience with Python, R, and/or MATLAB. Documented experience developing detailed/interactive visualizations and exploratory data analysis. Knowledge of and skill in the use of Structured Query Language (SQL), Python data science and visualization packages (PyMC3, matplotlib, Bokeh, Sci-Kit, TensorFlow), MatLAB, PHP, Tableau, and similar data integration services and data visualization tools.
$135,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Required 3 Years · Experience with deployment and management of data science tools and modules such as JupyterHub. Required 3 Years · Experience with ETL, data processing, analytics using languages such as Python, Java or R. Required 3 Years · Databricks Certified Data Engineer Professional · Experience with Cloudera Data Platform.
$80 - $90 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Provide insight to programming & implementation maturity: review of AI algorithms and models using programming languages such as Python, R, or TensorFlow. Provide insight to program algorithm development: Design and develop machine learning algorithms, deep learning models, and statistical methods to solve complex problems - includes data preprocessing, feature engineering, model training, validation, and evaluation.
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This role is pivotal in advancing our privacy practices at USDS, through aligning USDS privacy requirements with the global privacy compliance framework (PCF), working closely with global legal, R&D, Privacy and Data Protection Offices (PDPO) as well as USDS privacy operation teams.
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Data science, machine learning, optimization models, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, using open-source frameworks (for example, scikit learn, TensorFlow, torch.
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2+ years of data warehousing experience (Redshift or Snowflake) 5+ years of experience in application development including Python, SQL, Scala, or Java. 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
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Assist with ESG peer benchmarking, data mining, and chart building as part of broader projects and analyses. Our expert team provides tailored guidance on strategy, measurement, data collection, and reporting to strengthen ESG practices and satisfy regulators and investors’ needs.
$150,000 a yearFull-timeExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Extensive experience working with data in SQL, Python, and/or R. Working with end uto help educate them in Apache Spark processing utilizing SQL, Python, and/or R programming languages within Databricks.
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Experience working as a developer writing Python code along with the Infrastructure as Code (IaC) required to deploy with either AWS CDK or Terraform. Experience with and understanding of logging in AWS. Experience with database development and data migration (Postgres and Redshift) Experience building/accessing Data Lakes using Glue/Athena/Redshift and building data access APIs. Preferred Experience: GovCloud development experience.
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We are seeking a Senior GOES-R Product Engineer to join DNC on the Engineering and Mission Operations Support Services VI (EMOSS-VI) contract for work at the NOAA Satellite Operations Facility (NSOF) in Suitland, MD. Our client is responsible for engineering and mission operations support for all environment monitoring satellites managed by the National Oceanic and Atmospheric Administration (NOAA) Office of Satellite and Product Operations (OSPO) Mission Operations Division (MOD.
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Advanced programming/development experience with Python,SQL, Containerization (Docker and Kubernetes), Hive, Spark, dbt, Airflow. Utilize programming languages like Python, SQL, and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services.
$185,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Proficiency in analytical software and tools including Python, SAS, R, SQL and other applications, such as Microsoft Excel/VBA and Access; Statistical and machine learning techniques for analyzing financial data, including: survival analysis, time series analysis, GLM, logistic regression, XGboost, LightGBM, Random Forest, Neural Networks, decision tree analysis, and cluster analyses.
$202,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago
python r data mining jobs Company: Ey in College Park, MD
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When Rage Applying Strikes: How to Identify Unserious Candidates
As the job market remains highly competitive, we have seen a surge in "rage applying." This is when candidates apply to multiple jobs, often without considering whether they are truly interested in the role. Rage applying goes hand-in-hand with quiet quitting. Often, employees want to entertain the thoughts and feelings of leaving their job, but they aren't necessarily serious about leaving yet. Meanwhile, other employees engaging in this trend are actually trying to find a better role. As a recruiter, it can be hard to identify who are the real applicants in a sea full of quiet quitters, but understanding rage applying and identifying red flags will certainly help.
How to Increase Job Ad Exposure
In today's competitive job market, writing quality job ads is critical for attracting top talent to your organization. While networking and candidate referrals are prime real estate for finding qualified candidates, nothing beats the tried-and-true method of writing an extraordinary job ad. But while writing a great job ad is the first step, what's more important is increasing visibility. You could have the most detailed, well-written ad on the internet, but if no one sees it, then you are wasting time (and potentially money!). Employers often believe that job boards are the root of the problem, but you can learn how to increase job ad exposure by tweaking a few steps of your recruitment process.
How to Navigate Hiring Out of State
The job market has shifted significantly in recent years. The accelerated adoption of technology has not only pushed many companies into remote working arrangements but also increased the availability of supporting tools and technologies (i.e., video conferencing and collaboration software).
Building a Candidate Pipeline Through Internships
Building a candidate pipeline through a great internship program for local college students and recent graduates at local universities is a great and cost-effective way to attract and retain top talent. By offering meaningful and impactful work experiences, regular feedback, coaching, and mentorship, you can create a positive internship experience that will make your organization a sought-after destination for future employees. This not only benefits the organization in the short-term but also in the long-term, as you'll have a pool of well-trained and experienced candidates who may be interested in full-time employment once they graduate. Furthermore, building relationships with local universities and college students can increase brand awareness and build a positive reputation for your organization in the local community.
Hiring Transparency
Transparency in hiring refers to the open and honest communication and information sharing that takes place between employers and job candidates. It encompasses all aspects of the hiring process, from posting job descriptions to providing feedback on performance during and after the interview process. In today's job market, hiring transparency has become increasingly important for both employers and candidates alike.
Recruitment strategies that are weird, but actually work
In the current candidate-driven job market, recruiters are looking for unique ways to attract talent. Some have resorted to even (dare we say it?) recruitment strategies on the border of weird and wacky. What can we learn from the unusual recruitment tactics that are being used and actually getting results? Here’s a rundown of some unique recruitment strategies that actually work.
How To Make $100K a Year – No BS Strategies & Advice
If you’re like most of us, you’d love to be wealthier. Having more money would alleviate stress. It would make it easier to pay your bills and buy nicer things. Maybe it’d allow you to spend more time with your kids and go on more vacations. You’re not alone if you wish you could somehow earn a more significant income.