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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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Certified Analytics Professional (CAP), Data Science Council of America (DASCA) and/or audit-specific certifications (CIA, CISA, CFE) a plus. 10+ years of experience in data science, data analytics, or a related field, preferably within financial services, consulting, or internal audit.
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The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making.
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Diploma/Degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science or a related field. Geotab is seeking a Lead Data Scientist, ITS who will utilize strong problem-solving skills with statistical analysis in order to align data products with Geotab’s organizational goals.
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The Senior Medical Science Liaison has the primary responsibility of building key opinion leader (KOL) partnerships by engaging in the exchange of scientific data and other medical and/or scientific information with external stakeholders (HCPs, researchers, professional organization leadership, patient advocacy groups, and formulary decision-makers) in the assigned Therapeutic Areas (TAs) -Respiratory (COPD/Asthma) across the aligned geography.
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The People Analytics team is globally respected as a leader in its field and is dedicated to staying on the cutting edge of business intelligence and data science methodology and technology.
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QUALIFICATIONS:Minimum education and experience required: Bachelor’s degree in Applied Computer Science, Computer Engineering, Computer Information Systems, Information Technology, or a related field of study plus 7 years of experience in the job offered or as Software Engineer, Senior Java Developer, Associate / Software Engineer, Consultant, or related occupation.
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Experience in machine learning, big data analytics, data science, and cloud computing is a plus. Knowledge of at least one target industry, (ideally high tech, energy, telecom, financial services, life science, or manufacturing) is a plus.
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We want Data Science/Machine learning/Data Analyst and Java Full stack candidates. For data Science/Data Analyst/AI/Machine learning Positions. Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools.
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Bachelor’s Degree from a four-year accredited college or university in Social Science or related field required; Masters in Social Work, Psychology, Counseling, or related field preferred.
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Working to design, build and support a transformational Databricks cloud data platform for the business. A robust understanding of core data engineering topics – ETL vs ELT, structured and unstructured data, data quality and data governance.
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Experience with OpenShift Working knowledge of MQ AWS Certification is a plus DevOps and/or automation experience in code testing, building, and deployment a plus Experience building computer software within the airline industry is a plus Knowledge of Windows Server and HP-UX operating systems a plus Qualified candidates should APPLY NOW for immediate consideration Please hit APPLY to provide the required information, and we will be back in touch as soon as possible.
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Required Minimum QualificationsIntern Pursuing a Bachelor’s, Master's, or Doctoral degree in Electrical Engineering and Computer Engineering, Aerospace Engineering, Software Engineering, Imaging Science, Optical Engineering, Applied Mathematics, Physics, Astronomy, Astrophysics, Computer Science or a related discipline.
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8+ years as a Product Manager, with a preference for those experienced in preferably in the data governance, data privacy, data security, or related industry. With a comprehensive suite of solutions spanning data and AI security, privacy, governance, risk, ethics, and compliance, OneTrust enables seamless collaboration between data teams and risk teams to enable rapid and trusted innovation.
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Data engineering certification is a plus. Build the data pipelines required for the optimal extraction, transformation, integration and loading of raw data from a wide variety of data sources.
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data science a plus jobs Company: Deploy Alloy in Atlanta, AR, France
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How to Hire Remote Workers
Remote work used to be a thing of the future. However, with social, economic, and cultural events taking place across the country, it has now evolved into something that both job searchers AND companies are benefiting from. Remote work is multifaceted and can come in handy in a variety of situations. So, to help your small business take advantage of all of remote work's benefits, here is a short guide on how to hire remote workers.
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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.
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How to Avoid a Bad Hire
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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!
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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.
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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.