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Cloud (Azure) – Experience in Databricks/PySpark and distributed databases like SnowflakeData Visualization tools and/or toolkits like Power BI, Streamlit etcSome familiarity with Deep learning frameworks like PyTorch, TensorFlow EEO StatementAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
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The Sr. Director will develop and execute data-driven strategies, processes, and plans, to grow Iona University's alumni donor base and pipeline through a donor-centered approach to annual giving.
$127,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Provide in-home 1:1 ABA services to individuals diagnosed with Autism Spectrum Disorder (ASD)· Use behavior-analytic strategies to increase functional behaviors and decrease behaviors that may impede learning, safety or social opportunities, by following patients’ treatment plan· Collect and submit data on an electronic data system.
$24 - $32 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. 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 yearRemoteExpandApply NowActive JobUpdated 18 days ago - UpvoteDownvoteShare Job
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Resolves novel problems requiring creative application of advanced skill, training, and educationMay serve as a peer coach learning how to mentor and provides guidance to junior members of department and cross-functional team members as appropriateTo be considered for this role, you must have a Bachelor’s Degree, Advanced degree or equivalent education/degree in life science/healthcare preferred (PhD/MD/PharmD/MSc) is preferred.
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As an AI Machine Learning Engineer (m/f/d), you are the link between data science and software engineering. First professional experience in the AI environment, data science, machine learning, and cloud infrastructure.
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Strong knowledge of time series analysis, modeling and forecasting time series data and hands on implementation experience with machine learning frameworks (TensorFlow) Solid understanding of deep learning concepts and architectures.
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Working knowledge of data scraping and data science, including machine learning in financial markets. Conduct research, data analysis, and trade signal generation to search for patterns amongst suggested datasets for use in trading within the agricultural commodities space.
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Advanced Analytics: Applying advanced analytics techniques, such as predictive modeling, machine learning, and clustering, to uncover insights and patterns within HR data. Data Integration: Integrating HR data from various sources, such as HRIS systems, employee surveys, performance management systems, and other relevant databases, to create a comprehensive and accurate data repository for analysis.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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The ideal candidate will have knowledge and experience with data analytic software (Snowflake, Snowpark, Azure, Power BI) and have proficiency in programming scripts (SQL, Python, R, PySpark) to enhance data analysis and reporting capabilities.
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You will also develop novel methods to power exploratory research including highly multiplexed IHC/ISH staining techniques and building image data repositories to power quantitative analyses and machine learning data mining efforts.
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Required to have or successfully complete within 90 days of receiving computer access, all training associated with assigned data systems such as SFS, GFEBS and the Statewide Learning Management System (SLMS) and/or other computer training as related to duty assignments.
$35,177 a yearFull-timeExpandApply NowActive JobUpdated 21 days ago - UpvoteDownvoteShare Job
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The candidate must be familiar with machine learning platforms such as pytorch/tensorflow, should have proficiency in standard machine vision libraries such as OpenCV, and be able to code in both low level and high-level languages.
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Conduct field work consisting of site assessments/surveys, compliance inspections, sampling of soil/ groundwater/ stormwater/ vapor/ sediments and data gathering activities. The ideal candidate will be enthusiastic about learning environmental regulations as they apply to brownfield site remediation, spill prevention, stormwater management, air permitting and other site remediation and compliance issues.
$81,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The Payroll Clerk, working with the Payroll Manager, assists with the entire payroll process which involves analyzing, preparing and inputting payroll data as well as performing other accounting related tasks.
$65,000 a yearFull-timeExpandApply NowActive JobUpdated 17 days ago
data learning jobs in Ardsley, NY
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Virtual Reality Job Interviews
With the advent of desktop computers, the arduous task of scouring through weekly job classifieds became a thing of the past. The mid-1990s brought about a new era where job seekers could easily search and apply for jobs online. The introduction of AOL's Instant Messaging feature provided an even faster means for employers and candidates to communicate and schedule interviews. As smartphones became more pervasive in the early 2000s, hiring managers increasingly used phone calls for screening and interviewing candidates. Despite this trend, over 80% of interviews still took place in person.
A Potential TikTok Ban?!
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The Effects of Workplace Racism and Sexism
One day it's a covert statement to a mother returning to work after maternity leave. Another day it's a lingering gaze at an employee enjoying a culturally rich meal. These microaggressions (or sometimes macroaggressions) can take an employee from a confident, high-performer to one that feels insecure being themselves at work. Your employees engage with people with different ideas and feel most comfortable and valued when they can work without losing their cultural, racial, and gender identity. While most employers know this, why have workplace racism and sexism often been neglected?
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.