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Demonstrated programming experience with Python, and most commonly used libraries for data science / machine learning / AI. The Department of Informatics and Analytics at Dana-Farber Cancer Institute seeks a motivated and talented Artificial Intelligence and Data Engineering Intern for our expanding AI & data team.
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As the Head of Data Science Research and Development, you will lead our efforts in data science, machine learning, and artificial intelligence. Be fluent in a data science programming language (e.g., Python, R) and distributed platforms (e.g., Spark, Hadoop.
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Principal Machine Learning Engineer, Ads Measurement. Software Engineering, Full-Stack Engineering, Frontend Engineering, Backend Engineering, Social Media, Data Science , Mobile Apps, and Online Advertising.
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Our next-generation platform, which combines threat intelligence with machine learning, enables financial institutions and governments to detect cryptocurrency fraud and financial crime on an unprecedented scale.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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As an established Software Engineer, NSA has opportunity for you to contribute, learn, and grow in virtually any Computer Science focus area, including: Cybersecurity, High Performance Computing (HPC), Quantum Computing Research, Data Analytics, Machine Learning/Artificial Intelligence (ML/AI), Cryptology/Cryptography, and countless others.
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Master's degree or higher in a relevant field, such as Data Science, Artificial Intelligence, or Machine Learning. Analytics & Data Science. Working knowledge of syndicated data (Nielsen/IRI or other EPOS/Retail Sales data source; Kantar/GFK or another household panel source.
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Reporting directly to our VP of Business Operations and Analytics, you will work in a highly cross-functional role partnering with our senior leaders on the Product, Partnerships, Data Science, Machine Learning, and Finance teams.
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Solutions Architect - Data Science, Machine Learning. Intern Program - Data Science Intern. Senior Research Data Scientist - Center for Health Data Science & Analytics.
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Minimum five years of recent experience in artificial intelligence, machine learning, and data science. Stay up to date with the latest research and trends in the field of artificial intelligence, machine learning, and data science, and apply this knowledge to drive innovation in Gen AI; provide market insights and analysis to inform the development of Gen AI products and services.
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2+ years of industry experience in a computational area such as data science, computer science, machine learning, artificial intelligence, statistics, or graph algorithms.
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At 1910 Genetics, we put computation at the heart of drugdiscovery, blending expertise in computational chemistry, structuralbiology, pharmacology, genetics, data science, and softwareengineering to develop drugs for previously undruggable targets.
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The position requires at least a bachelor’s degree, or its foreign equivalent, in Engineering (Any), Computer Science, Applied Mathematics, Statistics, or Machine Learning, or a closely related field.
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Lyft’s Data Science Team builds mathematical models underpinning the platform’s core services. Develop and fit statistical, machine learning, or optimization models. Proven experience with building and evaluating machine learning models.
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Data and Digital Literacy Possesses knowledge of: Data collection modes, techniques, and tools; data analytics and data visualization tools and techniques; existing and upcoming digital applications and systems; technology innovation trends and industry benchmarks; data governance; data science techniques and applications.
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Internships are for college students or people who have just completed their degree. If you are a student or recent grad, you may be wondering how to land an internship. If you've never had one, you may even wonder if you need one. After all, didn’t you work in that call center while also doing exams? Or perhaps you’ve bartended your first year in college?
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Even if you’ve worked hard to earn a degree from an impressive school, landing your dream job might still come down to who you know – otherwise known as networking. Lots of qualified candidates might apply for a job, but the person who gets it might very well be so-and-so’s sibling, friend, or kid. Sometimes the only way to get your foot in the door is to know someone.
Why Do Recruiters Ghost and What Can You Do About It?
Once you’ve finally mustered up the courage to find another job, leaning into the job hunt can feel scary and overwhelming. So, it does nothing to help your confidence when your outbox is full of unanswered follow-ups and interview requests. You thought that ghosting only happens on dating apps—so why do recruiters ghost, too? Recruiter ghosting is not an effective recruiting strategy, but sometimes it’s inevitable. How can you overcome such an unfortunate new career trend? Read on.
Internal Hiring Best Practices
Each companies hiring strategy is based on a set of rules that defines the ideal candidate. Many companies utilize internal and external hiring to ensure they have skilled, experienced workers. If you work in recruiting, maximizing your internal hiring strategies could be the key to retaining employees and simplifying your hiring process.
Why is it so Hard to Get a Job After College
For many, it was easy finding a job while in college. But after job hunting for weeks, you may wonder why it is so hard to get a job after college. After all, you’ve put a lot of time and effort into getting your degree. But don’t get discouraged. The University of Washington found that 53% of graduates are either unemployed or working a job that doesn’t require a degree. Other studies also show that landing your first job can take between 3 and 6 months. So, getting your first job takes time.
Why Leadership Is So Important in Your Career
There are plenty of baseball players worldwide, but only a select few will master the sport enough to play in the World Series. Similarly, you’ll meet hundreds of “managers” throughout your professional career. Still, only a few will cement themselves as true leaders in your mind. This is why leadership is important—the most influential leaders leave a mark. They inspire.
Making the Move to Salary Transparency
The salary transparency trend continues. Last year, Colorado passed its Equal Pay Transparency Rules, which required employers to include compensation in job postings, notify employees about promotional opportunities, and record job descriptions and wage records. Soon after, states like Washington, Nevada, Maryland, and Rhode Island followed suit.