- UpvoteDownvoteShare Job
- Suggest Revision
Helped build machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, TensorFlow, PyTorch, Airflow), especially including deep-learning applications.
$240,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Understanding of AI, Generative-AI and Machine Learning frameworks and its application in LLMs, NLP, Forecasting and other AI-driven use cases. Proficiency with statistical programming languages (python, R.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Support large scale, data science projects that leverage data transformation and machine learning models. Machine learning algorithms (e.g., clustering, logistic regression.
$181,900 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
- Suggest Revision
Excellent understanding of machine/deep learning techniques and algorithms (XGBoost, random forests, logistic regression, SVM, KNN, k-means clustering, PCA, neural network, deep reinforcement learning, etc.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Hands-on experience applying a wide variety of statistical machine learning techniques to real world problems spanning analysis, predictive modeling and optimization on structured and unstructured data.
Full-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvote
Principal Data Architect - Telecom, Media & Technology - Senior Manager - Consulting - Location OPEN
Share Job- Suggest Revision
EY delivers unparalleled tech consulting services in data strategy, business intelligence, digital, machine learning and Artificial Intelligence. Bachelor’s degree in Technology, Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning and at least 8-10 years professional consulting experience in industry or in technology consulting.
$319,400 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Ability to develop ideas with stakeholders and turn them into rigorous solutionsProficient in Python and SQLDesired CharacteristicsWorking experience with product teams to deploy prescriptive machine learning models to drive one or more KPIs. Knowledge of enterprise-level digital analytics platforms (e.g. Adobe Analytics, Google Analytics, etc.
$190,000 a yearFull-timeExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Strong understanding of statistical methods, data modeling, and machine learning techniques. Proficiency in data analysis tools and languages such as SQL, Python, R, Excel, and data visualization tools like Tableau, Power BI, or similar.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Hands-on experience building statistical, machine learning, and deep learning models. Use predictive modeling, machine learning, and advanced statistical methods to design, develop, and implement automated surveillances.
$245,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
- Suggest Revision
You will also work with others on the team to harness the power of Google’s data with machine learning to provide insights at scale that drive both long-term strategy and near-term operations for Sales and Marketing.
$223,000 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
Full-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
- Suggest Revision
Design accurate and scalable prediction algorithms using Artificial Intelligence and Machine Learning. The ideal candidate will design and deploy advanced machine learning solutions to tackle intricate challenges, utilizing an Agile approach to promote creativity, speed, and adaptability in their work.
ExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
- Suggest Revision
As a Staff Data Scientist, you will join a cross-functional team that designs, implements, and maintains the state of the art machine learning models to automate and optimize marketing operations and customer experience.
$195,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Expert user of Big Data technologies/platforms, statistical platforms and data visualization tools, advanced SQL skills, hands-on experience with machine learning, predictive modeling and statistical analysis techniques.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
- Suggest Revision
Perform a wide range of analytics tasks, including predictive modeling, machine learning, and statistical analysis, to derive actionable insights from data. Solid understanding of statistical analysis, machine learning techniques, and data visualization methods.
$130,000 a yearFull-timeExpandApply NowActive JobUpdated 12 days ago
machine learning python jobs Title: data in New York, NY
FEATURED BLOG POSTS
In-House vs Outsourcing Recruiting: Which is Better?
When looking at in-house vs outsourcing recruiting, it is important to nail down the benefits for each and whether those benefits outweigh the risks that follow.
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.
How to Conduct a Performance Review (With Examples)
In a world where the smallest mistake can cost your business tens of thousands in lost revenue, your talent is key to keeping your edge on the market and driving growth. However, managing a workforce of any size can be a challenge. Employees come with their own particular skill set, ambitions and flaws. So, it can be difficult to uncover their individual drivers. Not to mention the challenges brought on by the hybrid and remote working models where in-person interactions have become few and far between.
How to Recruit Passive Candidates
Learning to recruit passive candidates is a different ballgame than recruiting active ones. While an active candidate is someone who is currently looking for a new job, a passive candidate tends to be the opposite. Passive candidates are either already working or not looking to work. So, instead of these candidates coming to you, you'll have to find them and reach out to them first.
How to Effectively Recruit Employees
Today, hiring and retaining talent looks much different than it did only two or three years ago. Financial instability and the strain on our mental health brought on by the pandemic has made everyone more wary and selective of their workplace and employer. Whereas in the past people might have prioritized promotions and financial reward, today they look at other factors such as workplace flexibility, personal fulfillment and values alignment.
How Many Hours is Part-Time vs. Full-Time Work?
Growing up you watched your parents shuffle to and from the office, held hostage to their 9 to 5. If jammed-packed schedules and deadlines sound frightening, you might consider pivoting your search to part-time jobs. In fact, even employers have shifted their preference, selecting more people open to the idea of flexible working hours.
How to Make a Job Offer More Competitive
Money alone makes it hard to attract and retain top-notch candidates, especially when you are competing with larger businesses and corporations in your industry. So, instead of focusing on money, figure out how to make a job offer more competitive when you can't offer more money.