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Solid foundation in machine learning algorithms, natural language processing, and statistical modeling. Architect and optimize our existing data infrastructure to support cutting-edge machine learning and deep learning models.
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5+ years of experience in data science or a related field Strong knowledge of statistical modeling and machine learning techniques, such as regression analysis, clustering, and neural networks Experience with data analysis tools, such as Python, R, or SQL, as well as experience using Azure data science technologies, such as Azure Data Factory, Azure Data bricks, and Azure Synapse Analytics.
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Experience with AWS technologies- Experience with theory and practice of information retrieval, data science, machine learning and data mining- Experience with theory and practice of design of experiments and statistical analysis of resultsPREFERRED QUALIFICATIONS- Experience working directly with business stakeholders to translate between data and business needs- Experience managing, analyzing and communicating results to senior leadership.
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We are looking for Data Analyst/ AI Engineer with 2+ years Data Analysis, Machine learning, and AI experience for multiple locations. Produce innovative solutions for clients driven by exploratory data analysis from complex and high-dimensional datasets, both structured and unstructured, applying advanced statistical, machine-learning and AI techniques.
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Ph. D. or Master's degree in Engineering, Mathematics, Physics, Computer Science, or related field required, with experience in image processing, AI, and Machine Learning technologies. Implementing AI/ML algorithms for commercial biological or microscopy applications to tackle problems in instrument automation, computational imaging, image analysis, and data analysis.
$143,825 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Experience with theory and practice of information retrieval, data science, machine learning and data mining. This position requires excellent statistical and analytical abilities, deep knowledge of business intelligence solutions and data engineering practices, and the ability to partner with various teams across Amazon.
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Experience in building advanced statistical/Machine Learning based financial forecasting models is a plus. 5+ years of related experience as a Finance Analyst, Business Intelligence Engineer, Data engineer or similar role, preferably in a SaaS or technology-driven organization.
$147,500 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Proficiency with data mining, mathematics, and statistical analysis. - Experience in robotics or machine learning. - Excellent data analysis skills with modern tools such as Python or Matlab.
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How to Call Out of Work
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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Depending on where you are in your career, you might have first-hand experience with seasonal employment. Seasonal employment can be a great way to expand your skill set and earn extra cash while helping businesses meet seasonal increases in demand.
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"A new employee who doesn't meet the minimum performance, quality, and culture fit standards you set when you began sourcing and recruiting. Additionally, bad hires will immediately show signs of self-interest instead of an interest in their role and the company."
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!
What Are SMART Goals?
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.
The Best Remote Jobs: Where & How to Find Them
The Covid-19 pandemic hasn’t been easy on any of us, but if there’s one silver lining, it’s the fact that remote work has grown in popularity because of it. Companies that previously weren’t open to their employees working remotely were suddenly forced into allowing it. Since then, they've realized that much of their workforce is happier and more productive. Naturally, this has led to more remote job openings, which is great if you’re interested in this type of position. Read on to learn more about the best remote jobs and where to find them.
How to Write a Short Bio
First impressions can be tricky. When meeting someone in person, it’s likely you have an elevator speech. These short, practiced introductions can help you share more about who you are, what you do for work and other facts about you. While this works well in a live, in-person context, there are many cases where professionals “meet” someone via written form - like social media, a resume, or published work. In these cases, your bio works as your first impression. So, here’s a step-by-step guide on how to write a short bio.