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The ideal candidate will have a strong background in data science, modeling, Python, SQL, and experience with Nielsen or IRI data. Key Responsibilities:Oversee the design and execution of data science projects, including predictive modeling, machine learning, and statistical analysis.
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We are looking for enthusiastic quantitative PhD students to join our internship program at Rokt. As a Data Science (PhD) Intern at Rokt, you will have the opportunity to shape the future of our business organizations (Analytics, Product, Engineering, Sales), products (Post-Order Marketing, Payments Marketplace, and Upsells), and customers (Publishers, Advertisers, and End Users.
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Work closely with the Chief Data and AI Officer to define and implement CVB's data science strategy, emphasizing systems modeling, multi-omics, and neuroimaging. Reporting to the Chief Data and AI Officer, this role is pivotal for defining and executing our data science vision and strategy, greatly influencing CVB's mission in improving care for individuals with neuropsychiatric disorders.
$150ExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Data Science/Traditional Modeling, Machine Learning/ Artificial Intelligence, Expertise in Coding, Supervised and Unsupervised Techniques - active learning, transfer learning, neural models, decision trees, reinforcement learning, graphical models, Gaussian processes, Bayesian models, map reduce techniques, Random Forest, Gradient Boosting, Deep Learning, Text Mining Algorithms, Understanding of finance and valuation concepts.
$90,000 - $165,000 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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In this role, you will support the successful development of data strategies, data governance programs, data modernization roadmaps, reporting and visualization tools, and craft business cases for funding of data initiatives at large corporations, in particular regard to EHS and ESG functions.
ExpandApply NowActive JobUpdated 20 days ago - UpvoteDownvoteShare Job
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Lead the Biological Data Science department, managing a team of computational biologists, bioinformaticians, and data engineers. Ph. D. in Bioinformatics, Computational Biology, Genetics/Genomics, Bioengineering, Computer Science, Biostatistics, or a related field.
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Maintain an up-to-date understanding of data science topics in the music industry and their impact on our business, such as Streaming Fraud, Generative AI and LLMs. Skills / Requirements:Bachelor's degree in Computer Science, Mathematics, Engineering, or a related field; Master's degree preferred.
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Master's degree in data science, computer science, statistics, computational linguistics or engineering preferred. 2+ year in a data science, machine learning engineering, artificial intelligence or equivalent role.
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Summary: Are you a skilled, experienced Python Data Science Developer professional seeking a position in the Financial Research Technology industry? First United Development is doing a search for a remote Data Science Developer Consultant.
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We are a premier IT consulting firm specializing in delivering top-tier Data Science solutions to companies across various sectors such as. Additional experience with Pyspark, AWS S3, Lambda, EC2/AZ, Data bricks, Machine learning (ML), GenAI/ Computer Vision, Theory of Probability, GitLab, R Programming, GCP & Airflow will be preferred.
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Designed to inform brand strategies with real-time insights, Hearts & Science is a data-driven marketing agency with expert media planning and buying capabilities, among other services that include shopper marketing, marketing innovation and content activation.
$90,000 - $120,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Graduate Degree in Medicine, Biomedical Informatics, Epidemiology, Computer Science, Data Science, Engineering, Public Health, Economics, Biostatistics, Health Policy, Statistics, Biometrics, or equivalent experience.
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5+ years of experience across a breadth of data science, AI and machine learning disciplines including, but not limited to: forecasting, natural language processing (topic modeling, semantic search, text classification), deep learning and GPU-based algorithms (CNN, LSTM), computer vision.
ExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Fanatics Betting and Gaming is seeking a Staff Data Scientist to support our Data Science, Engineering and Analytics (DSEA) Team. Your role will involve applying data science and machine learning techniques to solve highly complex problems in the area of trading intelligence and sports betting.
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data science jobs Title: product strategy in East Elmhurst, NY
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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?!
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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.