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Remote Cnn Marketing Jobs (NOW HIRING)

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

... Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse Benefits * Competitive Salary * Paid Relocation * Remote Support * Guaranteed Regular Salary Reviews * Job Type: W2 or ...

Adidev Technologies Inc

DATA SCIENTIST

Austin, TX · Remote

... Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse Benefits * Competitive Salary * Paid Relocation * Remote Support * Guaranteed Regular Salary Reviews * Job Type: W2 or ...

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Remote Cnn Marketing information

See salary details

$23K

$45.4K

$59.5K

How much do remote cnn marketing jobs pay per year?

As of Aug 28, 2026, the average yearly pay for remote cnn marketing in the United States is $45,446.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,000.00 and $50,500.00 per year, depending on experience, location, and employer.

What is a remote CNN marketing?

A Remote CNN Marketing job typically involves creating, managing, and optimizing marketing campaigns for CNN’s digital platforms while working from a remote location. Professionals in this role focus on promoting CNN’s content, increasing audience engagement, and driving traffic through various online channels such as social media, email, and digital advertising. They use analytics tools to measure campaign performance and collaborate with other teams to ensure brand consistency. This role requires strong communication skills, digital marketing experience, and the ability to work independently from anywhere.

What are the key skills and qualifications needed to thrive as a remote CNN marketing specialist?

To thrive as a Remote CNN Marketing Specialist, you typically need expertise in digital marketing strategies, analytics, and content creation, along with a background in marketing, communications, or a related field. Familiarity with marketing automation platforms, social media management tools, and data analytics software is highly valued. Strong communication, time management, and creative problem-solving are essential soft skills in this remote role. These skills ensure effective campaign execution, data-driven decision-making, and successful remote collaboration in a fast-paced digital environment.

How does a remote CNN marketing professional typically collaborate with cross-functional teams given the virtual nature of the role?

As a Remote CNN Marketing professional, you will frequently coordinate with teams such as sales, content, analytics, and creative through digital collaboration tools like Slack, Zoom, and project management platforms. Effective communication and proactive scheduling of regular check-ins are essential to stay aligned on campaign goals, share updates, and resolve challenges quickly. Being comfortable with asynchronous communication and having strong organizational skills will help you navigate the dynamic and fast-paced environment typical of CNN's marketing operations.

What is the difference between Remote Cnn Marketing vs Remote Content Marketing?

AspectRemote Cnn MarketingRemote Content Marketing
Required CredentialsMarketing degree, certifications in digital marketingMarketing or communications degree, content creation certifications
Work EnvironmentRemote, digital marketing teamsRemote, content creation and strategy teams
Industry UsageAdvertising, media, marketing agenciesBrands, media companies, digital agencies
Common Search IntentMarketing strategies, campaign managementContent creation, content strategy

Remote Cnn Marketing focuses on digital marketing campaigns, advertising strategies, and media outreach, while Remote Content Marketing emphasizes creating and managing content to engage audiences. Both roles often work remotely and require marketing knowledge, but their core functions differ in focus and skill set.

More about Remote Cnn Marketing jobs

What cities are hiring for Remote Cnn Marketing jobs?

Cities with the most Remote Cnn Marketing job openings:

What are the most commonly searched types of Cnn Marketing jobs?

The most popular types of Cnn Marketing jobs are:

What states have the most Remote Cnn Marketing jobs?

States with the most job openings for Remote Cnn Marketing jobs include:

What job categories do people searching Remote Cnn Marketing jobs look for?

The top searched job categories for Remote Cnn Marketing jobs are:

Remote Cnn Marketing jobs near you
Infographic showing various Remote Cnn Marketing job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $45,446 per year, or $21.8 per hour.

Data Science Specialist

Manhattan, NY • Remote

Adidev Technologies Inc
IT Services • 11 - 50 employees
Learn more about Adidev Technologies Incexternal

Full-time

Re-posted 9 days ago

Job description

Adidev Technologies Inc 

www.adidevtechnologies.com

URGENT HIRE - HIRING PROCESS - 24-48 HOURS!

Adidev Technologies is seeking 1-2 yrs of relevant experience in Data Science. A project can last anywhere from 6 months to 18 months. Salary varies depending on experience, and we are in search of candidates looking to start as soon as possible. Excellent written and oral communication are required as is the ability to work well in a team environment.

If you are looking for a new challenge and are ready to make an impact on a growing team, then this will be a perfect fit. As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and debugging large-scale applications for one of our well-known clients.

Adidev Technologies is a growing software consulting company that is constantly expanding. As we are working with renowned clients and ready to take on new ones, we are seeking brilliant software engineers. Not only do we offer a great team to work with, but we also offer you an opportunity to make an immediate impact and get rewarded accordingly

 

Job Description

  • Demonstrated experience using machine learning, deep learning, statistical methodology, and simulation/optimization modeling in geospatial, network topography, recommendation systems, environmental systems, and/or agronomic problems.
  • Strong foundation in Python programming in a cloud environment.
  • Strong quantitative abilities, distinctive problem-solving, and excellent analysis skills
  • Expertise in data wrangling using SQL,
  • Practical knowledge and experience with cloud-computing systems and platforms, including the routine deployment of pipelines through Kubernetes
  • Fluency in querying/extracting/aggregating data via SQL scripting.
  • Extract, load and transform data (ETL) from structured and unstructured sources
  • Apply Natural Language Processing and Computer Vision to solve business use cases,
  • Strong skills in scientific data analyses, modeling, visualization and communication of results.
  • Knowledge of Python libraries (NumPy, Pandas, SciKit-Learn, TensorFlow, PyTorch), Spacy, MongoDB, PostgreSQL, Flask, streamlet and a good knowledge of data pipelines construction
  • Ph.D., M.S. or B.S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote Sensing Science, Environmental Sciences, Computational Astronomy or related scientific discipline


Must  have 

  • Understanding of various machine learning algorithms (e.g. SVM, Random Forests, Gradient Boosting, Log-Log regression, XGBoost, Lasso, Ridge, Clustering techniques, Neural Networks and others)
  • Regression (e.g. ? Linear/Logistic/MNL/Mixed Effects/Regularization)
  • Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
  • Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
  • Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
  • Experience with neural network approaches to text classification CNN, RNN, LSTM,Keras
  • Machine Learning algorithms? Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
  • Distributed computing tools and cloud technology (AWS)

QUALIFICATIONS

  • Degree in Data Science, Computer Science, Engineering, Math, or Statistics preferred

  • At least 2 yrs of relevant experience in Data Science


SKILLS

  • SQL, statistical modeling, Feature engineering, Data visualization, Deploying models to production, Python programming, AWS, Domains(Healthcare/ Manufacturing/ Marketing/ Financial/ Telecommunication), powerbi/tableau, data warehouse

Benefits

  • Competitive Salary

  • Paid Relocation

  • Remote Support

  • Guaranteed Regular Salary Reviews

  • Job Type: W2 or Contract 1099 (full-time - 40 hours)

Employment Type: FULL_TIME

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