- UpvoteDownvoteShare Job
- Suggest Revision
We are seeking individuals with a profile of skills in psychometrics, statistical computing & programming, simulation-based research, natural language processing, and machine learning. Increasingly, we find ourselves conducting data analyses of rising complexity involving traditional statistical methods alongside techniques related to machine learning.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
- Suggest Revision
5+ years of hands on experience with ML tools such as R, Python, Spark, SageMaker, TensorFlow, or similar- Experience in machine learning and statistical techniques such as classification, clustering, regression, statistical inference, collaborative filtering, and natural language processing, experimental design, social networking analysis, feature engineering etc.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Understanding of data models, large datasets, business/technical requirements, BI tools, statistical programming languages and librariesDemonstrates functional knowledge of data visualization libraries such as matplotlib or ggplot2; knowledge of other visualization tools such as Microsoft Power BI , Quick Sight or Tableau.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Possess direct experience and stay at the forefront of latest trends in machine learning, statistical test design, media mix modeling, artificial intelligence, and other data science fields.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Develop models leveraging statistical analysis, regression modeling, optimization, predictive modeling, simulation, machine learning, economic models. Knowledge of analytical models, methods, applications and tools, such as statistical analysis, regression modeling, predictive modeling, simulation, machine learning and selecting and applying the right analytical techniques.
$55,300 - $99,600 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Required skills: credit/financial modelling; cloud computing environments; machine learning techniques/algorithms (classification, regression, clustering, feature engineering, decision trees, gradient boosting); statistical skills (distributions, statistical testing, regression, regulation); R; Python; Anaconda; TensorFlow; Scikit-learn; Keras; SQL; H2O.ai; Redshift.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
- Suggest Revision
The candidate should be able to provide both thought leadership and hands-on expertise in methodology, techniques, and processes in applying statistical and machine learning models to manage the bank’s AML models and model systems.
$125,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Research the state of the art of machine learning, statistical modeling and optimization technologies, and their applications in digital marketing, digital media, and e-commerce. Familiarity with deep learning applied to a relevant domain like NLP or representation learning, e.g. RNNs, LSTMs, Transformers and associated libraries - tensorflow, keras, or pytorch.
$94,400 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
- Suggest Revision
High proficiency in statistical analysis, predictive modeling, machine learning algorithms, and data mining techniques. Apply advanced statistical analysis and predictive modeling techniques to analyze datasets.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Overseeing teams and programs analyzing and defining data requirements and specifications using various tools and methodologies (e.g., Statistical Package for Social Sciences [SPSS], Statistical Analysis System [SAS], R Analytics, Statistics and Data [STATA]) to discover new patterns and behaviors providing DHS Headquarters (HQ) and/or Component stakeholders actionable recommendations.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Proving specialization background in data science, including experience with statistical analysis, data mining, predictive modeling, and machine learning; Demonstrating a thorough level of knowledge in statistical modeling, algorithms, data mining, and machine learning algorithms problem solving.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experienced in using multiple data science methodologies to solve complex business problems (e.g. statistical analysis, research science, machine learning and deep learning techniques, data modeling, regression modeling, financial analysis, demand modeling, etc.
$90,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Experience with Statistical analysis tools in Python and R as well as data science app development (R shiny/Streamlit). Strong familiarity with topics of protein and macromolecular structures and interactions with other proteinsExperience with cloud environments such as AWSExperience in developing machine learning platforms using modern ML frameworks for deep learning (, tensorflow, keras, MXNet) & deploying in services such as Amazon Sagemaker.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Demonstrating intimate knowledge about designing and implementing data-driven analyses to monitor for compliance with regulations and standards, such as anti-corruption laws, data privacy regulations, and industry-specific regulations.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Demonstrating thorough knowledge about ETL tools and techniques, such as tools like Alteryx, Power Query, Azure Data Factory, and Power Apps suite of tools; Collaborating with cross-functional teams, including Finance, the Office of the Chief Data Officer, the Office of the General Counsel, Business Services Technology, Network Information Security, Internal Audit, and other firm functions to gather relevant data and establish data integrity for analysis.
ExpandApply NowActive JobUpdated 8 days ago
learning statistical jobs
FEATURED BLOG POSTS
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.