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Apply data science concepts to build predictive analytics tools using cutting edged techniques to exploit big data. · Experience applying data science techniques to environmental science and/or weather-related challenges.
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Machine Learning, Computer Vision, and Data Science Internship. The Intelligent Systems Group at Lynntech is developing new technologies through Research and Development (R&D) to come up with solution to frontier challenges in Artificial Intelligence, Machine Learning (ML), and Data Science.
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As the CTFM Data Science Engineer, you will support the Clinical Trial Financial Management applications to develop processes to analyze internal & external data, extract raw data, transform, design consumption models, and assume the lead front-end (UI/UX) data engineer responsibilities.
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We are seeking exceptional candidates with interests in a wide range of topics within the theoretical, machine learning, data visualization, and computational foundations of data science.
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Artificial intelligence, recruitment, machine learning, data science, staffing, ai, community, podcast, Computer Vision, Deep Learning, data engineering, big data, automation, ServiceNow, splunk, digital transformation, executive search, data analytics, cybersecurity, software engineering, software development, and it.
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It plays a major role in developing and delivering Data Exploitation (Data Science, Data Analytics) and Artificial Intelligence as crosscutting enabling capabilities, and facilitates NATO’s evolution into a digitally transformed, data centric, and Multi-Domain Operations (MDO)-enabled Alliance by 2030.
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BS degree in Data Science, Computer Science, Information Sciences, Mathematics, Engineering or related field and minimum 6 years directly related data analytics, data science, predictive modeling, machine learning, statistical modeling and/or user experience role.
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Fluency with Python machine learning and data science packages (Scikit-learn, Apache Spark, PySpark, DASK, Tensorflow, etc.) Strong technical expertise in data science, data analysis, statistical modelling, and/or machine learning.
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Works with the Center Director's office and directly with Branch Chiefs, Research Managers, Scientists and/or Data Specialists/Data Scientists to provide data management policy guidance and technical support for USGS science efforts within the Center/Office.
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Bachelor's Degree in GIS, Computer Science, Geography, Social Science, Environmental Science, Data Science, Engineering, or related field. A successful candidate will work both independently and in close coordination with various AECOM staff and project teams to develop, deploy and support GIS and other Geospatial Data Science critical to successful project delivery.
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If you are passionate about data science, possess a strong analytical mindset, and thrive in a collaborative environment, we encourage you to apply. Collaborate closely with other data scientists, analysts, brand marketing teams, centralized sales and marketing activation teams, and data engineering/architecture teams to define, scope, and deliver comprehensive data-driven products and solutions aligned with multiple priorities.
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As this is part of multiple ongoing collaborations, the nature of the work will depend on your strengths and experiences; this is an exciting opportunity to be involved in work with direct real-world impact and leverage our department's expertise to build skills in a number of areas from high-performance computing/GPU acceleration, implementation of machine learning algorithms, computational biology pipelines, matrix operations on sparse data, among others.
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, 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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Our Mission is to drive monetization and sustainable revenue growth for TikTok through data science. The successful candidate will gain an understanding of the data science techniques to power TikTok monetization and drive meaningful improvements in ads targeting and ranking models.
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Engaging and collaborating with all branches of HQ SACT and identifying, executing and implementing analytic opportunities for data analytics, data science and AI to include business intelligence and robotic process automation (RPA.
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data science jobs Title: management trainee Company: Accenture
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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.
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.