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Data science is a new field that is constantly growing and evolving. With so many tools being developed for brands to communicate with the audience, it is quite pertinent for marketers to figure out the needs and demands of these audiences, and what better tool to get such insights other than data science? Here are the top data science companies that data professionals can choose from in 2023.UpGrad
UpGrad is an online platform that offers educational services on various topics like digital marketing, product management, entrepreneurship, data analytics, data-driven management and digital technology management. Founded in 2024, the company collaborates with world-class faculty and industry to facilitate access to career-oriented courses and assists Indian students and working professionals who want to upgrade their careers.Urban Company
Urban Company (formerly UrbanClap) is India and the UAE’s largest home services company. It is an all-in-one platform that helps users hire premium service professionals, from beauticians and masseurs to sofa cleaners, carpenters, and technicians. Since its inception, Urban Company has built a network of 25,000+ trained service professionals and served over 5 million customers across major metropolitan cities of India, Dubai, Abu Dhabi, Sydney, and Singapore.Verizon Data Services India
Verizon Data Services India is one of the world’s leading providers of technology, communication, information and entertainment products. Founded in 2000, the company is transforming the way people, businesses and things connect. As innovation hub, Verizon India is a big part of the global teams that brought 5G to life. The company plays a critical role in both the development of new technologies and the day-to-day operation of business, building systems and working on initiatives to help deliver unmatched experiences to consumers and businesses.Wipro
Wipro Limited is a leading global information technology, consulting, and business process service company. Wipro harnesses the power of cognitive computing, hyper-automation, robotics, cloud, analytics, and emerging technologies to help its clients adapt to the digital world and make them successful. The company is recognized for its comprehensive portfolio of services, a strong commitment to sustainability, and good corporate citizenship.Zeta Suite
Data science is a new field that is constantly growing and evolving. With so many tools being developed for brands to communicate with the audience, it is quite pertinent for marketers to figure out the needs and demands of these audiences, and what better tool to get such insights other than data science? Here are the top data science companies that data professionals can choose from in 2023.UpGrad is an online platform that offers educational services on various topics like digital marketing, product management, entrepreneurship, data analytics, data-driven management and digital technology management. Founded in 2024, the company collaborates with world-class faculty and industry to facilitate access to career-oriented courses and assists Indian students and working professionals who want to upgrade their careers.Urban Company (formerly UrbanClap) is India and the UAE’s largest home services company. It is an all-in-one platform that helps users hire premium service professionals, from beauticians and masseurs to sofa cleaners, carpenters, and technicians. Since its inception, Urban Company has built a network of 25,000+ trained service professionals and served over 5 million customers across major metropolitan cities of India, Dubai, Abu Dhabi, Sydney, and Singapore.Verizon Data Services India is one of the world’s leading providers of technology, communication, information and entertainment products. Founded in 2000, the company is transforming the way people, businesses and things connect. As innovation hub, Verizon India is a big part of the global teams that brought 5G to life. The company plays a critical role in both the development of new technologies and the day-to-day operation of business, building systems and working on initiatives to help deliver unmatched experiences to consumers and businesses.Wipro Limited is a leading global information technology, consulting, and business process service company. Wipro harnesses the power of cognitive computing, hyper-automation, robotics, cloud, analytics, and emerging technologies to help its clients adapt to the digital world and make them successful. The company is recognized for its comprehensive portfolio of services, a strong commitment to sustainability, and good corporate citizenship.Zeta® is in the business of providing a full-stack, cloud-native, API-first neo-banking platform including a digital core and a payment engine for the issuance of credit, debit, and prepaid products that enable legacy banks and new-age fintech institutions to launch modern retail and corporate fintech products. Its cloud-based smart benefits suite called Zeta Tax Benefits focuses on digitizing tax-saving reimbursements for employees, like mobile reimbursements, fuel reimbursements, gadget reimbursements, gift cards, and LTA.
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How to use data to optimise your multi-channel marketing
Multi-channel marketing provides businesses with the opportunity to engage with consumers across a variety of different fronts, tailoring messages for specific groups while maintaining a consistent message and brand. But it’s not simply a matter of sending your message blindly out into the ether – to achieve true success over multiple channels you need to make effective use of the data at your disposal.
This article demystifies this process, helping you understand what this data is, where you need to find it and what you need to do with it. As with all marketing, a little bit of considered thought at the start of the campaign makes a real difference in the result.Tracking your data
This may seem obvious, but the actual obtaining of your data is the most important place to start and tracking a campaign is really the only way to determine whether your marketing efforts are having a positive effect on your business’s bottom line.
In the digital world, track conversion metrics broken down by target audience and geography. When offline, data should be tracked at the lowest level possible to ensure clarity and simplicity. Something else to consider is the manner in which this data will be stored. Marketing produces a high volume of data, and it’s important to ensure you will have an intuitive system for tracking and managing this information. It may even be an idea to outsource this aspect of the process, for simplicities sake.Analyse your data
Now that you have your data, it’s important to understand what it’s telling you. Consider a consumer’s interaction with your brand as a path, from discovering the initial message to ultimately making a purchase/interacting with your service.
Discovering and acknowledging the channels different groups are using to interact with your brand is a good way to understand improvements you can make on a broader level, as well as some quick victories that can streamline processes.
A thorough data analysis is also a good way to gain a thorough understanding of the consumers who are interacting with your brand. Find out who the high value consumers are and determine ways in which you can enhance engagement. Also, consider the devices they are using in their interactions. You’re as good as your data in marketing, and a thorough analysis will ensure you get more bang for your buck.Develop a strategy
Now that you’ve analysed your data, it’s time to decide how you’re going to respond to it. You’ve discovered the channels your consumers are responding to and the groups of consumers are of highest value, so now it’s time to maximise this and develop a message that will achieve results for your business.
There are a few things to consider in this process. For instance, it’s important to make sure the message that passes through to your customers across multiple channels is a consistent, effective one. It’s also important to make sure the consumer’s journey through different channels is as seamless as possible. An online clothes retailer may have people browsing on mobile devices during the day but only making the purchase when they get home, so keep this in mind at all times.Respond through preferred channels
Now you’ve analysed your data and formulated an effective strategy, it’s time to bring it all together. Multi-channel marketing allows you to engage different groups of consumers with tailor-made messages, but as mentioned before, it’s important to ensure these messages are consistent with the overall identity of your brand.Test, test, test
The most important part here is tracking your results, responding and testing. Look for different aspects of your campaign to test and make sure you integrate them into your planning. Think about different conversation metric variables and see how you can tinker with them to achieve different results. As with any marketing, it’s not likely you’re going to find the thing that works best with your first effort, so be flexible and willing to incorporate new ideas into your campaign. The world moves at a fast pace these days and if you’re not willing to keep up, it will be to the detriment of your multi-channel marketing campaign. Testing and a degree of flexibility in your approach allows you to keep track of what is and isn’t working and stay ahead of the curve.
Multi-channel marketing is one of the most effective ways to engage with consumers in 2024. But it’s important to do it correctly. Track your data, analyse your data and develop a strategy that allows you to respond effectively in the appropriate channels. And once you’ve done this test, test and test some more! A proactive approach can achieve serious results for your business, allowing you to maintain a consistent message across multiple platforms and maximise the yield from your consumers.
At the end of the day, multi-channel marketing is about getting as much bang for your buck as possible. An acute awareness of what your data is telling you and how to respond will help your business grow and separate you from the rest of the pack.
2024 is a year that proved nothing is better than a Proof of Work to evaluate any candidate’s worth, initiative, and skill.
Pursuing any data science project will help you polish your resume. These projects will not only deepen an understanding of the concepts but also, help you gain some practical experience in the data science industry. Moreover, they serve as a great proof of work rather than merely completing courses.
Students and even professionals create their own portfolios or do professional projects that are available on various websites. These projects will give you an opportunity to network with other professionals in the same industry.
To develop a professional portfolio, it is important for you to have different projects. Each project should be well-structured and handled professionally. With your delivery skills for a particular project, you could get a job opportunity, as well. Thus, it is important for you to make sure that you develop specific skills via these projects.
As a data scientist, you must have the following skillsets in your portfolio:
know the ‘data’ at a deeper level
take initiatives and experiment
Components that a Data Science Project must entail:
Problem statement: This is the prime component of any project. Your project will solve this problem and state various approaches to resolve the issues in the current model.
Dataset: This is one of the most important features of your project. It isn’t easy to find genuine, huge data. So, take your time and find datasets from authentic sources.
Algorithm: There are different algorithms that could be used to analyze the data and predict the results. Some of these algorithms are Regression Algorithms, Regression Trees, Naive Bayes Algorithm, and Vector Quantization.
Training Models: These models will help you to predict accurate outcomes of your project. Thus, it is important for you to use proper training techniques, against various inputs and outputs.
Read this article to understand how you can choose the most appropriate project for yourself.Add these Projects to your professional journey!
This project aims at developing practical algorithms which will help to restore the damaged images. We know how important it is for us to have crystal clear images, be it our lost photos or uploading images to our blog.Robust Video Matting (RVM)
RVM is a new branch of art performance. It can perform matting in real-time, uses a recurrent neural network to process the videos.
This project is going to be fun! This one is specially going to be great for people who aspire to become influencers or might like to create videos, recording all your special videos. Here, you will be able to have a green screen behind or any other background of your choice. So, while sitting at home. You could take some pleasure by feeling the beach or mountains…VIRTUALLY!GFPGAN
GFPGAN develops a practical algorithm for real-face (or blind) restoration. In this project, you will be able to work on images that aren’t clear in quality and are of blind people. So, you will be required to make their facial features, especially their eyes clear.
Sometimes, it could be challenging because not all features of your face can be restored properly. This project will help you learn the technology where you will be able to restore low-quality face images via semantic aware style transformation.
Read our latest article on Implementing Computer Vision.
Language: Python and DockerFile
Has it happened to you? That you receive a text from someone whom you don’t know and they happen to reveal your personal details, maybe some friends playing a prank on you or someone blackmailing you?
Well, not anymore! Once you pursue, the ‘what’ project, you will be able to know the unknown. Hahaha…sounds mysterious? Jokes apart, this project will help you to find details like emails, IP addresses, and more.
Pursue this project to know more!Textual
Language: Python, MakeFile, and TypeScript
This project is inspired by modern web development. This project uses Rich to render the rich text, so anything that Rich can render could also be done in Textual. Some of the examples: animation, calculator, grid layout, a simple textual app with scrolling markdown view – all of this could be done under this project.Change Detection
This project will help you learn about making simple changes on the self-hosted sources, open-source websites that help to monitor the changes and provide notifications for each change that takes place. The focus on change type will be text-related changes.
For example: On the government websites, when COVID-19 related news changes, with respect to the number of new cases/ number of people, died/ number of recovered people, and so on.
This project is designed to teach today’s aspiring MI Engineers, the popular machine learning concepts which give an opportunity to use different ways of application. Once you complete this project, you will be able to learn a lot of topics from machine learning via using different algorithms.
SeaLion was developed by Anish Lakkapragada, as a freshman in high school. The library is meant for beginner-level data science enthusiasts who would be interested in solving the standard libraries like iris, breast cancer, swiss roll, etc.
Deploy Machine Learning Model using Flask (with Code)
This project is one of the most practical projects you would be doing. This will not only help you learn here, in the process of completion. But also, in every sphere of data science. This project will help you learn how you will be able to put any of your machine learning models into production.
This project will introduce you to Flask which is a web application framework written in Python. The flask has multiple modules and will help web developers to write their applications without having to worry about the details like protocol management, thread management, and so on. It gives you an opportunity to work on different web applications and gives you the necessary tools that help you build a web application.
Read more on using flask for Data Science here.
Time series analysis is a vital component of the Data Science and Engineering industry where important concepts like key statistics and detecting regressions are used to forecast future trends.Kats
Kats is a toolkit where you could analyze the time series data. This is a generalized project which can be used even by new people in the data science industry. The project could have an extensive framework where you could perform time series analysis. This would include understanding different concepts like key statistics and characteristics, detecting change points and anomalies.Time Series using Merlion
Merlion is a python project which will help you to polish your concepts of machine learning. This is part of the time series intelligence which includes loading and transforming the data. It will help you to learn various time series learning tasks, which include, forecasting, anomaly detection, etc. This project will specifically focus on providing engineers and researchers with, one-stop solution to develop models for multiple time-series datasets.
This project has different modules which makes it easier for the data scientists to pursue. Also, it provides a unique evaluation framework that simulates the live deployment and re-training of a model in production.Conclusion
Read about Software Engineering process for an effective Data Science project.
ERP systems are trusted by businesses from all industries. They streamline business processes, increase productivity, reduce wastage, encourage collaboration and increase profits. Advanced ERP solutions provide actionable insights that allow decision-makers to make better decisions. Although ERP has many benefits, implementation can be difficult as it involves a lot of time and money. Implementation is the key to ERP’s success. ERP implementations that are successful will ultimately improve the productivity and efficiency of operations. If ERP isn’t implemented correctly, it can cause a loss of time and money. We offer “Tips for Successful ERP Implementation” in this article.Understanding Your Business Requirements
It is recommended to first identify the problem areas in your business if you don’t use any ERP or accounting software. You must monitor and control the movement of goods across different channels if your business involves a supply chain. If your accounting software is outdated, you should consider upgrading to a more sophisticated system that will not only increase organizational efficiency but also eliminate data silos.How to Choose the Best ERP Solution
There are so many options on the market that it is difficult to find the right option for your business. Oracle NetSuite is one of the most widely used options. NetSuite, a cloud-based and true SaaS Business Manager Suite, automates both front- and back-office processes. This allows small and large businesses to quickly respond to market opportunities and make informed decisions. NetSuite offers core capabilities such as financial management, revenue management, fixed assets management, order management, and billing. It also provides real-time visibility of key performance indicators. Available as Software-as-a-Service (SaaS), NetSuite doesn’t require hardware, no large upfront license fee, no maintenance fees associated with hardware or software, and no complex setups. SaaS deployment allows even small businesses to benefit from digital transformation.Right Implementation Team
Be Precise and Realistic
Manage Change, Avoid Chaos
The installation of ERP can transform many processes and the way employees work. The success of the implementation depends on the quality of your change management planning. Proper planning and execution tactics will prevent confusion and buildup of resistance to impending changes. It would be great to educate your employees about the ERP solution’s benefits.
9 Best Cybersecurity Companies in the WorldTraining
Communicate, Collaborate, and Document
It is important to properly document the scope of the project, expectations, as well as concrete deliverables. For data migration and implementation strategies, it is a good idea to work with your ERP vendor. Every business is different, and each business will have its own requirements. Therefore, it is important to talk with your implementation consultants about the problems in your company. Clean data must also be migrated to the cloud to avoid data inefficiencies that can reduce ERP’s performance.
What are The Things to Consider When Choosing NetSuite Implementation Consultants?
You should be aware of these things if you’re looking for NetSuite Implementation Experts. There are many independent vendors that offer NetSuite Implementation services. It is a good idea to choose the NetSuite Consultants who are experienced. It is important to verify that the NetSuite Implementation Services provider has worked in your particular industry. You should also look for skilled resources. It is not enough to rely on the experience of an organization. You should verify whether the company has qualified resources such as technical consultants, functional consultants, and quality analysts. You should also check if the organization hiring you for implementation has a single point of contact. The cost is also important. Find out what kind of engagement model these organizations offer. What level of support is available? These points will ensure that you get reliable support from NetSuite Implementation Specialists.
Free datasets sources for data science enthusiasts
Data is preliminary for companies and corporations to analyze and obtain business intelligence. It helps in finding the correlations between the data and the unique insights for a better decision-making process. And for theseGoogle Cloud Public Dataset
Most of us think that Google is just a search engine, right? But it is way beyond. Several datasets can be accessed through the Google cloud and analyzed to fetch new insights from the data. Google cloud has more than hundreds ofAmazon Web Services Open Data Registry
Amazon Web Services has the largest number ofData.gov
The US government is also keen on data science, as most of the tech companies are located in Silicon Valley. chúng tôi is the main repository of the US government’s open datasets that can be used for research, developing data visualizations, mobile applications, and creating the web. This is an attempt of the government to become more transparent in terms of access without registering. But some of the datasets need permissions before downloading them. chúng tôi has diverse varieties ofKaggle
Kaggle has more than 23,000 public datasets that can be downloaded for free. You can easily search for the dataset that you’re looking for and find them hassle-free ranging from health to cartoons. The platform also allows you to create new public datasets and can also earn medals along with the titles such as Expert, Master, and Grandmaster. The competitive Kaggle datasets are more detailed than the public datasets. Kaggle is the perfect place for data science lovers.UCI Machine Learning Repository
If you are looking for interesting datasets then UCI Machine Learning Repository is a great place for you. It is one of the first and oldest data sources that are available on the internet since 1987. The datasets of the UCI are great for machine learning with their easy access and download options. Most of the datasets of UCI are contributed by different users so the data cleanliness is a little low. But UCI maintains the datasets for using them for ML algorithms.Global Health Observatory
If you are from a medical background then Global Health Observatory is a great option for creating projects on global health systems and diseases. The WHO has made all their data public on this platform. This is for the good quality health information available worldwide. The health data is characterized according to various communicable and noncommunicable diseases, mental health, morality, medicines for better access.Earthdata
Data is preliminary for companies and corporations to analyze and obtain business intelligence. It helps in finding the correlations between the data and the unique insights for a better decision-making process. And for these datasets sources are important to help you with your data science projects . But luckily there are many online data sources to fetch you free datasets to help with your projects by just downloading them absolutely free. Let’s learn more about the top 7 free dataset sources to use for data science projects in this chúng tôi of us think that Google is just a search engine, right? But it is way beyond. Several datasets can be accessed through the Google cloud and analyzed to fetch new insights from the data. Google cloud has more than hundreds of datasets that are hosted by BigQuery and cloud storage. Google’s machine learning can be helpful in analyzing datasets such as BigQuery ML, Vision AI, Cloud AutoML, etc. Also, Google’s Data Studio can be used to create data visualization and dashboards for better insights. These datasets have data from various sources such as GitHub, United States Census Bureau, NASA, and BitCoin, and many more. You can access these datasets free of cost.Amazon Web Services has the largest number of datasets on their registry. It is very easy to download these datasets and use them to analyze the data on the Amazon Elastic Compute Cloud. It also employs various tools such as Apache Spark, Apache Hive, and more. The Amazon Web Services is an open data registry that is part of the AWS Public Dataset Program that focuses on democratizing the access of data so that it is available to everybody. AWS open data registry is free but allows you to own a free AWS chúng tôi US government is also keen on data science, as most of the tech companies are located in Silicon Valley. chúng tôi is the main repository of the US government’s open datasets that can be used for research, developing data visualizations, mobile applications, and creating the web. This is an attempt of the government to become more transparent in terms of access without registering. But some of the datasets need permissions before downloading them. chúng tôi has diverse varieties of datasets relating to climate, agriculture, energy, oceans, and ecosystems.Kaggle has more than 23,000 public datasets that can be downloaded for free. You can easily search for the dataset that you’re looking for and find them hassle-free ranging from health to cartoons. The platform also allows you to create new public datasets and can also earn medals along with the titles such as Expert, Master, and Grandmaster. The competitive Kaggle datasets are more detailed than the public datasets. Kaggle is the perfect place for data science chúng tôi you are looking for interesting datasets then UCI Machine Learning Repository is a great place for you. It is one of the first and oldest data sources that are available on the internet since 1987. The datasets of the UCI are great for machine learning with their easy access and download options. Most of the datasets of UCI are contributed by different users so the data cleanliness is a little low. But UCI maintains the datasets for using them for ML chúng tôi you are from a medical background then Global Health Observatory is a great option for creating projects on global health systems and diseases. The WHO has made all their data public on this platform. This is for the good quality health information available worldwide. The health data is characterized according to various communicable and noncommunicable diseases, mental health, morality, medicines for better chúng tôi you are looking for data related to Earth or Space then, Earthdata is your place. This is created by NASA to provide datasets based on Earth’s atmosphere, oceans, cryosphere, solar flares, and tectonics. It is a part of the Earth Observing System Data and Information System that helps in collecting and processing the data from various NASA satellites, aircraft, and fields. Earthdata also has tools for handling, ordering, searching, mapping, and visualizing the data.
Artificial intelligence (AI) is creating new jobs at a range of major technology companies.
And while 79% of survey participants are concerned about AI taking over the job market, limiting job opportunities for humans, according to a report by the customer experience company Tidio, some of the biggest businesses in the world are hiring for a variety of AI roles to develop their AI technologies and grow in their markets.
For instance, job openings at the AI and robotics website chúng tôi increased 500% in February of 2023.
“AI careers are in high demand across almost all industries, including industrial, healthcare, biotech, logistics, consumer and more,” said Ann P. Walsh, co-founder and CEO, Robots.Jobs. “We are just at the beginning of demand for talent.”
See the top 10 companies using AI and currently looking for professionals to fill numerous positions related to AI:
Amazon is one of the largest companies in the world, selling everything from groceries to video games. Headquartered in Seattle, Amazon incorporates AI into its e-commerce business for both customer convenience and sales. For instance, AI is behind its personalized product recommendations and voice-based shopping through Alexa, according to Emerj. In the first quarter of 2023, Amazon’s net sales reached $116.4 billion, 7% higher than in 2023.
Amazon has over one million employees around the world. The motto Amazon uses for hiring is, “Come build the future with us.”
AI job openings
ML data linguist, search science and AI (Amazon Search)
AI/ML service accel leader (AWS Sales)
AWS Sr AI/ML event mgr, global events team (AWS Marketing)
AI designer (Amazon Games)
Applied scientist, Alexa AI (Alexa AI)
Research scientist – AI planning and scheduling (Amazon Robotics)
All full-time employees are offered hybrid virtual and in-person health care benefits. Including: medical, dental, mental, and vision
Amazon offers parental leave for up to 20 weeks depending on location
Provides 401k and Retirement Plan
Salaried employees earn two weeks of PTO in first year of employment, and three weeks in the second year
LinkedIn is a social network to connect job candidates with employers, headquartered in Sunnyvale, California. AI is built into LinkedIn’s ability to recommend the best employers for candidates.
LinkedIn has over 19,000 employees across more than 30 cities worldwide. The company has also been recognized as one of the “Best Places to Work” by Glassdoor from 2013-2024.
AI job openings
AI scientist (PhD)
Staff AI engineer – PYMK & Follows AI
Senior software engineer – AI
Staff AI engineer – notifications AI
AI/ML staff engineer
All employees are offered health insurance, EAP, and Wellness
LinkedIn offers donation matching, InDay (a Friday off every month), and education reimbursement
For family, paid parental leave, fertility and adoption assistance, childcare, elder care, and pet care subsidy
Offers PTO, life insurance, business travel accident insurance
As well as PerkUp! (fitness classes, massage, personal trainers, house cleaning, tax preparation), paid shutdown, Speaker Series, product discounts
Grammarly uses AI for writing assistance technology for 30,000 teams and around 30 million people every day.
“Grammarly is pioneering the future of AI-driven communication at a time when it’s never been more critical — or challenging — to get communication right,” says CEO Brad Hoover in a post on the “TIME100 Most Influential Companies of 2023.”
Based in San Francisco, Grammarly has over 900 employees, according to LinkedIn, and is one of the 2023 “Best Places to Work” by Glassdoor.
Grammarly says its mission is to “improve lives by improving communication,”
AI job openings
Analytical linguist, ethical AI
Software engineer, machine learning
Product design lead, accessibility
Software engineering, machine learning on-device
Linguistics quality manager, expert writing service
Parental leave with 12 weeks for the birthing person and 8 weeks for the birthing partner
Cultural benefits are volunteer work in local community, partners with nonprofits, and remote work program
Health insurance includes dental, FSA, vision, mental health, disability, and wellness programs
Stock benefits of 401k and company equity
PTO, paid holidays, paid sick days, and sabbatical leave
Meta says it is focused on connecting people and growing businesses. Headquartered in Menlo Park, California, Meta generated $27.9 billion in revenue in the first quarter of 2023.
With over 104,000 employees, according to LinkedIn, Meta was named one of the “Best Places to Work” by Glassdoor from 2011-2024, and Mark Zuckerberg was named one of the “Top CEOs” from 2013-2024.
AI job openings
AI research scientist
Partner engineer, AI/PyTorch
Strategy and operations analyst, AI
Product manager, artificial intelligence AI/ML
Technical program manager, AI research
Visiting researcher, artificial intelligence
Medical, dental, and vision insurance and reimbursement for expenses with physical, mental, financial well-being, and family care
Paid leave for new parents, support for family planning including adoption and surrogacy assistance, flexible spending account for dependent care
Retirement plan, life insurance, equity awards, access to TurboTax, on-site or video tax consultations for help, and legal support through Hyatt Legal
Causing community by employee clubs and resource groups
PTO, 30-day paid break every five years, leave programs when needed
IBM is one of the leaders in AI with its Watson line. Headquartered in Armonk, New York, the technology company generated $14.2 billion in revenue in the first quarter of 2023.
With over 530,000 employees, according to LinkedIn, IBM has received numerous awards from being named on of Fortune’s “World’s Most Admired Companies” to a “Top Company for Executive Women”.
“We [as a society] generate two and a half quintillion bytes of data every day,” says IBM CEO Arvind Krishna in an article at RCR Wireless News. “We know of no other technology that can digest and process that much data but AI.”
AI job openings
Data and AI – AI sales specialist
Trustworthy AI research scientist
Human-in-the-loop data extractor/transcriber
AI sales representative
Sales specialist data & AI information architecture
Covers medical options such as eligible medical services, telemedicine services, prescription drugs, mental health/substance use care, care coordination
Group Life Insurance (GLI), business travel accident insurance plan, optional term life program
401k, employees stock purchase plan (ESPP), MoneySmart, Student Loan refinancing
Time off: 12 holidays paid per year, 3 weeks for less than 10 years employed, and 4 weeks for 10 or more years employment, paid leave, and parental bonding leave
Thomas J. Watson Memorial Scholarship for high school students. Work-Life Toolkit, express service for traveling mothers, adoption and surrogacy assistance program.
Intel is a leading chip manufacturer headquartered in Santa Clara, California. Intel generated $18.4 billion in revenue in the first quarter of 2023.
With over 153,000 employees, according to LinkedIn, Intel has received several honors, including “Best Places to Work” by Glassdoor from 2010-2014 and 2023-2024 and “Top CEOs” by Glassdoor in 2013, 2024, and 2023.
In a letter to employees, CEO Pat Gelsinger says that artificial intelligence is one of the “four key superpowers” for Intel.
AI job openings
AI research scientist
Social science of AI research scientist
AI FW engineer
AI frameworks build and release engineer
HQ influencer sale HPC / AI hunter sales
Global VP product marketing – data center and AI
Annual and quarterly bonuses, stock programs, and retirement programs
Life-long learning, job rotations, and relocation services
Flexible work options, an extra vacation boost, and additional leaves
Health plans, wellness programs, and employee assistance plan/programs
Pregnancy, adoption, and new parent benefits, family care, education benefits, life insurance
Adobe is a leader in the digital media and digital marketing software market. San Jose, California-based Adobe generated revenue of $4.26 billion in the first quarter of 2023.
With over 30,000 employees, according to LinkedIn, Adobe has been named one of the “Best Places to Work” by Fortune since 2009 as well as to the “Top CEOs” by Glassdoor from 2024-2024.
Adobe says its mission is “changing the world through digital experiences.”
AI job opening
Research scientist – AI for content authenticity
Data analyst, fraud
Sr. experience designer, AI and innovation
Group product manager, AI/ML products
Machine learning engineer
Senior product manager – AI and machine learning
Personal and family services of caregiving, EAP, maternity support, fertility benefits, adoption and surrogacy assistance, and breast milk transportation
Dependent Care Flexible Spending Account (FSA)
Education benefits: reimbursement, graduate reimbursement, and professional development reimbursement
Travel support of medical care (domestic and international travel), baggage reimbursement, AD&D coverage, and TravelConnect for personal travel assistance
Home, auto, pet, legal and long-term care insurance
For more on Adobe: Data Science Careers Q&A with Mark Stevens at Adobe
Stockholm-based Spotify is an audio streaming service that uses AI to recommend music for its customers, including through its Discover Weekly and Happy Mix features.
With over 11,000 employees, according to LinkedIn, Spotify has been honored as one of the “World’s Most Innovative Companies” by Fast Company in 2023 and one of “America’s Best Customer Service” by Newsweek and Statista.
Spotify says its mission is “to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the opportunity to enjoy and be inspired by it.”
AI job openings
Staff machine learning engineer, content intelligence
Machine learning engineering manager, content intelligence
Robotic process automation, feasibility lead developer
Solutions architect, robotic process automation
Products insights lead, content intelligence
PTO, paid holidays, and paid sick days
401K matching, company equity, and employee stock purchase plan
Health insurance benefits, dental benefits, disability insurance, vision benefits, life insurance, and onsite gym
Company sponsored family events, family medical leave, flexible work schedule, and parental leave
Commuter benefits, company outings, free meals daily, game room, and relocation assistance
Nuro is a company that provides electric autonomous vehicles for everything from produce to prescription deliveries. Based in Mountain View, California, Nuro works to use robotics and artificial intelligence technologies.
With over 1,300 employees, according to LinkedIn, Nuro has been named one of “The 10 Most Innovative Robotics Companies” by Fast Company in 2023 and “America’s Best Startup Employers” by Forbes in 2023 as well as previously been awarded as one of the “World’s top 30 best-funded AI startups” and “The AI 50” by Forbes.
AI is “central to all aspects of Nuro’s business, from selecting where to deploy fleets, solving perception and planning problems for its AVs, and simulating on-road conditions,” according to Forbes.
AI job openings
Research scientist machine learning
Data annotation specialist
Software engineer, perception, machine learning/computer vision
Technical lead, behavior machine learning
Senior software engineer, machine learning data infrastructure
Comprehensive individual and family medical, dental, and vision insurance
Paid holidays plus unlimited vacations for exempt Nurons, or PTO for non-exempt ones
Free Caltrain pass and commuter benefits
NVIDIA is a hardware and software company focused on computing and AI, serving applications from health care to movies. Based in Santa Clara, California, NVIDIA generated $8.29 billion in revenue in Q1 of fiscal 2023.
With over 26,000 employees, according to LinkedIn, NVIDIA has been named one of the “Best Places to Work” by Glassdoor in 2012, 2024, and 2023-2024, to “Top CEOs” by Glassdoor in 2013, 2024-2024, 2023, and 2023 and of the “World’s Most Admired Companies” by Fortune.
AI job openings
Staff machine learning engineer, MLOps platform – AI infra
Director, AI and ML
Senior machine learning engineer, AI for gaming
Research scientist, robotics
Senior applied scientist, healthcare AI
Medical plans, dental plans, vision plans, prescriptions, FSA and HSA, Virtual care
19 Paid holidays, 20 to 30 days off a year
Up to 22 weeks of maternity leave, bereavement, mental health resources
401k retirement plan, employee stock purchase plan, financial concierge, day-care flexible spending account, up to $30,000 in tuition reimbursement, and commuting support
See more: The Top Performing Artificial Intelligence Companies
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