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Build industry leading MMM/econometrics models and develop a strong understanding of best practice in marketing attribution (e.g. MMM, MTA) and consumer journey. You will be working very closely with the head of analytics and due to your MMM/econometrics expertise, you will become the go-to-person for clients such as Disney, Adobe and many more.
ExpandApply NowActive JobUpdated 14 days ago - UpvoteDownvoteShare Job
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Masters degree in data analytics, econometrics, quantitative finance, mathematics, or other analytical discipline. Bachelors degree in data analytics, econometrics, quantitative finance, mathematics, or other analytical discipline.
Full-timeExpandUpdated 20 days ago - UpvoteDownvoteShare Job
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Economic Analyst (Macroeconomic Forecasting & Econometrics) page is loaded. Economic Analyst (Macroeconomic Forecasting & Econometrics) The Economic Analyst applies their knowledge of econometrics and familiarity with socioeconomic data to produce thoughtful, rich, and insightful forecast of mobility in regions, cities, and corridors.
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Doctoral Degreecomputer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline. Bachelor's Degreecomputer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or related discipline.
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Master’s Degree in Statistics, Data Science, Applied Mathematics, Econometrics, Finance, Operations Research, Industrial Engineering, Physics, Computer Science, or similar quantitative field required.
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Bachelor's Degree and 6 years of experience in Finance OR High School Diploma or GED and 10 years of experience Preferred Qualifications Master’s degree in statistics, economics, econometrics, applied mathematics, quantitative finance or related field is preferred.
$118,768 - $160,686 a yearFull-timeExpandUpdated 18 days ago - UpvoteDownvoteShare Job
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Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, 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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Proven experience in Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics.
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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Apply machine learning, econometrics/statistics, predictive modeling, return-on-investment analysis, simulation, and data visualization methods to support the development of health policy. Experience applying econometrics/statistics, predictive modeling, simulation, and data visualization methods to support the development of health policy.
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A Masters’ Degree or Ph. D. in Computer Science, Artificial Intelligence, Applied Mathematics, Econometrics, Statistics, Physics, Market Research or related field. Undergraduate degree in a highly analytical discipline (Computer Science /Physics /Mathematics /Econometrics) or equivalent.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Research existing economics and econometrics literature for methods that may improve the existing model. Current student in Economics, Econometrics, or quantitative business school Ph. D. program strongly preferred, but non-Ph. D. track students will be considered for exceptional candidates.
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Minimum five years of recent experience in one or more of the following areas: investment banking, private equity, hedge funds, valuation, financial statement analysis, quantitative analysis, statistical sampling and econometrics, fixed income, and/or capital markets.
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Masters Degree or PhD in Statistics, Applied Mathematics, Econometrics, Economics, Operations Research, Industrial Engineering, Physics, Computer Science, or similar quantitative field required.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Bachelors Degree in Statistics, Applied Mathematics, Econometrics, Economics, Operations Research, Industrial Engineering, Physics, Computer Science, or similar quantitative field required. Advanced skills in Python, SAS, SQL, R, JMP, Excel, Word, PowerPoint Knowledge of Python frameworks such as TensorFlow and Keras.
Full-timeExpandApply NowActive JobUpdated 2 days ago
econometrics job
FEATURED BLOG POSTS
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?!
As you may already know, there has been a lot of talk lately about the possibility of a TikTok ban. While this has not yet come to fruition, it's important to consider the implications this could have for businesses and recruiters who rely on TikTok as a platform to market their brand, recruit new talent, and connect with their audience.
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.