- UpvoteDownvoteShare Job
- Suggest Revision
Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
LexisNexis Special Services Inc (LNSSI) provides data-driven tactical Pattern Analysis, Geolocation Analysis, Entity & Anomaly Detection, and Next-Event Prediction in support of National Security and global missions in countering weapons of mass destruction, counter-proliferation, counterterrorism, counterintelligence, transnational organized crime, and trafficking.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Significant experience as a Data Scientist or advanced analytical role. Expertise in Python, R, SQL, statistics, data mining. 12+ years of experience working in the field of Data Engineering and Data Science.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Works closely with other teams to collect data and assess the current situation. Affinity or experience with Compliance, CFT (Counter-Financing of Terrorism), AML (Anti-Money Laundering), or KYC (Know Your Customer.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Knowledge of Unix (Linux Redhat, AIX and Solaris) and Windows operating systems. LexisNexis Risk is supportive of women in Technology and has been a founding signature for the Tech Talent Charter. Configuration of Webservers: WebSphere, WebLogic and Apache Tomcat – at least one.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
As ABSC’s next TS/SCI-cleared Data Scientist, you will play a critical role in the design, engineering, development, deployment, and use of software for the 10-year DOMEX Technology Platform (DTP) contract, where we support our client’s mission to centralize and standardize Tasking, Collection, Processing, Exploitation and Dissemination (TCPED) of Open Source Intelligence (OSINT) across the Department of Defense (DoD) and Intelligence Community (IC) enterprise.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Master's Degree in related field (e.g., Data Science, Predictive Analytics, Machine Learning, Statistics, Applied Mathematics, Computer Science) Bachelor's Degree in related field (e.g. Data Science, Predictive Analytics, Statistics, Marketing Analytics, Applied Mathematics, IT.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
ADP is hiring a Senior Lead Data Scientist. You'll code with machine learning languages like DataBricks and Python Libraries to synthesize millions of data sets into patterns that answer ad hoc requests and then use Tableau for data visualization.
ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
- Suggest Revision
AT A GLANCEWe are looking to hire a Data Scientist to join our RVO Health data science team. Create innovative data science solutions to create value for consumers and business by advancing technology ideas into proofs of concept.
$94,400 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
As a member of the Data Sciences team, and in this new role, you will develop robust analytical pipelines for analysis of a wide range of next generation sequencing data. Perform data analysis (s/mi/mRNAseq, whole genome assembly, SNP, BisSeq, ChIPseq) with in-house and externally generated NGS data.
ExpandUpdated 5 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Data science, machine learning, optimization models, PhD in Machine Learning, 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.
$132,000 - $264,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
As a Data Scientist at Anduril, you will dive into unique, complex challenges that come with the territory of high-stakes, advanced technology in the defense sector. Conduct in-depth data analysis using Python, MATLAB, and relevant tools to address complex problems, define key performance indicators for autonomous vehicle systems, and effectively communicate analytical insights to stakeholders.
$168,000 - $252,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
- Suggest Revision
Stanford University is seeking to hire a full-time Data Scientist to join the Immigration Policy Lab (IPL) to work on its GeoMatch research portfolio. Work closely with other GeoMatch team members (Data Scientist, Software Engineer, and Faculty) to adapt the code used for data processing, machine learning, and optimization to specific contexts based on the needs of external partners.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
As a Senior Data Scientist, you will be a leading contributor to our portfolio, designing and building the core analytical frameworks that extract and surface critical insights. Experiment with novel machine learning frameworks and analytical approaches, to spur development of new data products.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Assists during pre-sales RFI/RFP processes, answering to technical requirements. LexisNexis Risk Solutions is the essential partner in the assessment of risk. As a Sr. Technology Consultant with the Professional Services Team (USA) , you will provide ERP application services to clients.
ExpandApply NowActive JobUpdated 7 days ago
Title: data scientist Company: Relx
FEATURED BLOG POSTS
How to Call Out of Work
No matter how happy we are with our jobs, there are days when we feel overwhelmed and want to call out of work. No, don't feel guilty. It's expected because we're humans, and we can't control the uncertainties of life. But the problem lies in how to call out of work without seeming uncommitted to work, especially if you seldom get work-free days.
What is Seasonal Employment?
Depending on where you are in your career, you might have first-hand experience with seasonal employment. Seasonal employment can be a great way to expand your skill set and earn extra cash while helping businesses meet seasonal increases in demand.
How to Avoid a Bad Hire
"A new employee who doesn't meet the minimum performance, quality, and culture fit standards you set when you began sourcing and recruiting. Additionally, bad hires will immediately show signs of self-interest instead of an interest in their role and the company."
How to Ask for a Letter of Recommendation
When the job board you subscribe to finally posts your dream job, you may feel like the stars have aligned. But part of securing a position that matches your career plan is ensuring you address all the application basics. You know, the resume, the cover letter, the portfolio. It seems like you've got this in the bag — until you realize they want a letter of recommendation, too!
16 Tech Jobs You can Get Without a College Degree
You might think that if you don’t have a computer science, information technology, or related degree, then there’s absolutely no way you can break into the technology field and score a high-paying tech job. But this is a misconception. There are actually tons of tech jobs out there that don’t require a college degree. Instead, employers are more interested in the skills that you can offer. So, read on to learn more about how to land tech jobs without a degree.
What Are SMART Goals?
When it comes to achieving our goals, there’s a lot of noise to work through. A study by the University of Scranton has found that only 8% of people who set New Year’s resolutions actually achieve them. Our busy lives might be one reason for this. Another, even more important reason, is our approach to goal setting. Being too vague, too ambitious or simply unclear on the timeframe can set us up for failure.
In-House vs Outsourcing Recruiting: Which is Better?
When looking at in-house vs outsourcing recruiting, it is important to nail down the benefits for each and whether those benefits outweigh the risks that follow.