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Bachelor's degree in computer science, Statistics, Operations Research, Econometrics, Applied Mathematics, Machine Learning, Decision Science, Industrial Engineering, or related field. Senior Data Scientist - Sales Analytics, Walmart Connect.
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We are looking for a Senior Data Scientist , to drive advertiser media strategy and performance through advanced statistical modeling and machine learning techniques. In this fast-growing team, the Sr. Data Scientist will build predictive models, derive media insights, define statistically sound solutions including but not limited to lift analysis , experiment design , incrementality testing , marketing mix models , multi touch attribution , uplift targeting , automated optimization strategies, and advertiser-facing recommendations.
$234,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Experience with Microsoft Azure Machine Learning Studio or equivalent semi-automated ML services (Google Cloud AutoML, Amazon ML, IBM Watson ML Model Builder) As our Data Scientist, the candidate will provide expertise on mathematical, statistical and data science concepts and inspire the adoption of Data Science across the organization.
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Build and optimize Machine Learning and Deep Learning models for text classification problems. Fine-tune and deploy large deep-learning models. Drive end-to-end Machine Learning projects, working closely with software engineers for model deployment.
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Design and implement complex machine learning models and algorithms processing raw radar sensor data. Manage the machine learning pipeline, including data collection, preprocessing, development, evaluation, and deployment.
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While not necessarily requiring advanced knowledge in machine learning, this role is crucial in helping us analyze data effectively, connect the dots, and provide valuable insights to drive our advertising technology forward.
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Responsibilities: Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.
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Senior Data Scientist wanted by Fanatics Retail Group Fulfillment, LLC d/b/a Fanatics to work in San Mateo, CA. Build, deploy, and maintain predictive models in the field of AI and Machine Learning.
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You will apply your skills in signal processing, machine learning and generative artificial intelligence (AI) to design novel algorithms. Experience developing deep learning and generative AI based algorithms using TensorFlow or PyTorch, and knowledge of latest architectures.
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Employ existing econometrics models and/or develop new customized models to forecast the most effective marketing investment combination across paid and owned channels, utilizing statistical modeling and machine learning techniques.
$274,400 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We cover a wide area of the data spectrum, including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling, and machine learning.
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We’re looking for a Senior Data Scientist to lead Snowflake's corporate machine learning function. AS A SENIOR DATA SCIENTIST AT SNOWFLAKE YOU WILL: Work closely with stakeholders to understand the use-cases and identify areas where one can apply ML algorithms for the highest potential impactResearch, design, and apply advanced ML algorithms using large-scale datasets.
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Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.
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Apply current and emerging techniques in deep learning, natural language processing, and other machine learning areas. Expertise in deep learning and fluency with machine learning frameworks and libraries (e.g. Scikit-Learn, PyTorch.
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Familiarity with key Python packages for data wrangling, machine learning, and deep learning such as pandas, sklearn, tensorflow, torch, langchain, etc. Designing and deploying Machine Learning algorithms for industrial applications such as predictive maintenance, demand forecasting and process optimization.
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learning job Title: data scientist in Foster City, CA
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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.
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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.