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Our Mission is to drive monetization and sustainable revenue growth for TikTok through data science. The successful candidate will gain an understanding of the data science techniques to power TikTok monetization and drive meaningful improvements in ads targeting and ranking models.
$153,000 - $296,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We pride ourselves on our aptitude for developing innovative and foundational algorithms and software that combine advanced genomics approaches with advanced machine learning, dynamical systems, and other systems biology approaches to learn data-driven models to push the boundary of technology and biology and to eventually empower biologists to gain mechanistic and predictive insights of cell fate transitions in development and diseases.
$25.96 - $36.54 an hourFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Collaborate with NPM's staff across Clinical Science, Digital Health, Software Engineering, Data Science, and Informatics to detail AI model functionality and requirements - to significantly increase efficiency and reduce cost in the areas of medical document control, clinical information extraction, information synthesis, and clinical note preparation.
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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, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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The Medical Science Liaison (MSL) is a field-facing representative of ReCode Clinical Development Department with a primary responsibility to engage in the exchange of scientific data, education of health care practitioners (HCPs), and maintain close engagement with key scientific and clinical leaders (KOLs.
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Lead a team of data specialists and linguists. To achieve this, we work closely with various machine learning (ML) applied science teams dedicated to improving the quality of semantic matching, ranking, computer vision, image processing, and augmented reality.
$52,900 - $127,300 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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PhD in computational biology, computer science, data science, physical science, statistics, or a related field with a minimum of 10+ years of relevant work experience. Director, Research Data Sciences page is loaded.
$221,170 - $286,220 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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2 years of relevant experience in one of the following areas: Antifraud, Finance Service, Risk Management, Trust & Safety, Data Analytics, Data Science in eCommerce or Tech industry in general.
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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)Primary Location.
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Extend capabilities of Databricks": Work closely with Data Platform and Product Engineering teams to integrate data science tooling with existing Data team offerings and the core product.
$192,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Proven publications in machine learning, AI, computer science, statistics, applied mathematics, data science, or related technical fields. Individuals in this role are expected to be recognized experts in areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.
$213,000 - $293,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Experience with data science packages such as skit-learn, SciPy etc., and Machine Learning frameworks such as TensorFlow, Keras and Torch or LLMs. The Data Science Solutions Engineer at Lucid is setting data science pipeline for our fast growing data team.
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The Advanced Analytics team at BeiGene is seeking an Associate Director, Data Science with a passion for crafting and implementing predictive modeling and statistical analyses to develop comprehensive solutions and insights that directly impact patient lives and propel BeiGene's growth as a data-driven organization.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Nice-To-Have: Experience or conceptual knowledge of machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied. This role requires a deep understanding of data architecture, cloud engineering, data engineering, data analysis, data quality, and a basic understanding of data science techniques and workflows.
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data science jobs Title: data science lead in Menlo Park, CA
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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.
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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.
Hiring Transparency
Transparency in hiring refers to the open and honest communication and information sharing that takes place between employers and job candidates. It encompasses all aspects of the hiring process, from posting job descriptions to providing feedback on performance during and after the interview process. In today's job market, hiring transparency has become increasingly important for both employers and candidates alike.
Recruitment strategies that are weird, but actually work
In the current candidate-driven job market, recruiters are looking for unique ways to attract talent. Some have resorted to even (dare we say it?) recruitment strategies on the border of weird and wacky. What can we learn from the unusual recruitment tactics that are being used and actually getting results? Here’s a rundown of some unique recruitment strategies that actually work.