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Communication Data Science Jobs (NOW HIRING)

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

Excellent written and oral communication are required as is the ability to work well in a team ... As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ...

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

Excellent written and oral communication are required as is the ability to work well in a team ... As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ...

UST

Data Science

Issaquah, WA · On-site

... Data Scientist. The role involves collecting, cleaning, and preprocessing data, performing ... Communicate findings through dashboards, reports, and visualizations • Collaborate with cross ...

Altagrove LLC

Data Science

Norfolk, VA · On-site

Develop dashboards, visualizations, reports, and analytical products that communicate insights to ... Strong proficiency in Python and experience with modern data science and engineering frameworks.

Boeing

Data Scientist (Data Science)

Everett, WA

$173K - $234K/yr

... Science) Company: The Boeing Company Boeing Commercial Airplanes is looking for a Senior Data ... Must be technically competent and have strong communication skills to translate opaque model ...

New

Fanniemae

Data Science Advisor

Washington, DC

You will apply expertise in data science, machine learning, AI, large-scale data processing ... Create technical strategies and executive-ready materials that communicate high-impact solutions to ...

New

Fanniemae

Data Science Advisor

Reston, VA

You will apply expertise in data science, machine learning, AI, large-scale data processing ... Create technical strategies and executive-ready materials that communicate high-impact solutions to ...

New

Fannie Mae

Data Science Advisor

Washington, DC

You will apply expertise in data science, machine learning, AI, large-scale data processing ... Create technical strategies and executive-ready materials that communicate high-impact solutions to ...

PROPRIUS

Director Data Science

San Francisco, CA

Director Data Science Location: San Francisco, CA Sponsorship: Yes Relocation: Yes Industry: Data ... Ability to communicate effectively and influence at the C-level. PROPRIUS is an AI Industry ...

Boeing

Data Scientist (Data Science)

Everett, WA

$173K - $234K/yr

... Science) Company: The Boeing Company Boeing Commercial Airplanes is looking for a Senior Data ... Must be technically competent and have strong communication skills to translate opaque model ...

New

DeepIntent

Director, Data Science

New York, NY · On-site

$200K - $250K/yr

Excellent communicator capable of translating complex technical concepts to business stakeholders and clients. * Experience working with compliance frameworks and privacy-aware data science practices.

DeepIntent

Director, Data Science

New York, NY · On-site

$200K - $250K/yr

Excellent communicator capable of translating complex technical concepts to business stakeholders and clients. * Experience working with compliance frameworks and privacy-aware data science practices.

DeepIntent

Director, Data Science

Manhattan, NY · On-site

$200K - $250K/yr

Excellent communicator capable of translating complex technical concepts to business stakeholders and clients. * Experience working with compliance frameworks and privacy-aware data science practices.

JCTM, LLC

Data Science SME

Quantico, VA · On-site

$119K - $133K/yr

As a Data Science Subject Matter Expert with JCTM you will provide technical expertise and ... Communicate complex technical concepts findings and recommendations to both technical and non ...

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All JobsCommunication Data Science Jobs

Communication Data Science information

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$41.5K

$142.5K

$201K

How much do communication data science jobs pay per year?

As of Jun 6, 2026, the average yearly pay for communication data science in the United States is $142,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What is the difference between Communication Data Science vs Data Analyst?

AspectCommunication Data ScienceData Analyst
Required SkillsData analysis, communication, storytelling, programming (Python/R), statisticsData analysis, Excel, SQL, visualization tools, basic statistics
Work EnvironmentCross-functional teams, presenting insights to stakeholders, data-driven projectsData reporting, dashboard creation, data cleaning, and analysis
Industry UsageTech, marketing, finance, consulting, where communicating insights is keyBusiness intelligence, finance, healthcare, retail

Communication Data Science focuses on analyzing data and effectively communicating insights to non-technical audiences, combining technical skills with storytelling. Data Analysts primarily perform data cleaning, analysis, and visualization to support decision-making. Both roles require analytical skills, but Communication Data Science emphasizes communication and presentation skills more heavily.

What is Communication Data Science?

Communication Data Science is an interdisciplinary field that combines data analysis, statistics, and computational methods with communication studies. Professionals in this field use data-driven techniques to analyze, interpret, and improve communication processes, including media trends, social networks, and audience engagement. They often work with large datasets to uncover insights about how information spreads, how messages are received, and how communication strategies can be optimized. This field is essential in today's data-driven world, helping organizations make informed decisions about their communication efforts.

How does a Communication Data Scientist typically collaborate with marketing and public relations teams?

A Communication Data Scientist often works closely with marketing and PR teams to analyze audience engagement, optimize messaging strategies, and measure the effectiveness of communication campaigns. This collaboration involves sharing analytical insights, recommending data-driven content adjustments, and developing predictive models to forecast campaign outcomes. Regular meetings and cross-functional teamwork are common, ensuring that data insights directly inform creative and strategic decisions. This dynamic environment fosters both technical and interpersonal skill development, making it ideal for those who enjoy bridging data analysis with impactful communication.

Is data science dead in 10 years?

Data science, including roles like communication data scientists, is expected to remain relevant over the next decade due to ongoing growth in data-driven decision making. Advances in automation and AI tools may change some tasks, but skills in statistical analysis, programming, and communication will continue to be valuable in the field.

What are the key skills and qualifications needed to thrive as a Communication Data Scientist, and why are they important?

To thrive as a Communication Data Scientist, you need expertise in data analysis, statistics, and a background in communications or related fields, typically supported by a relevant degree. Familiarity with tools such as Python or R, data visualization platforms, and analytics software like Tableau or Power BI is essential. Strong storytelling, collaboration, and presentation skills help translate complex data insights into actionable communication strategies. These skills enable professionals to bridge the gap between data and effective messaging, driving informed decision-making within organizations.
Infographic showing various Communication Data Science job openings in the United States as of May 2026, with employment types broken down into 73% Full Time, 23% Part Time, 2% Contract, and 2% Nights. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $142,460 per year, or $68.5 per hour.

Data Science Specialist

ANICCA DATA SCIENCE SOLUTIONS LLC

Bellevue, WA • On-site

$87K - $101K/yr

Full-time

Posted 10 days ago

Job description

Role Summary
We are looking for an experienced Data Professional to support Azure-based data platform, analytics, reporting, and advanced analytics and science work. The role requires hands-on experience in data engineering, data analysis, business intelligence, and Python-based analytics using Microsoft Azure technologies.
Key Responsibilities
* Design, build, and maintain data pipelines using Azure Data Factory, Azure Data Lake Gen2, Synapse, Fabric, and Databricks.
* Ingest, transform, and validate data from multiple business systems, APIs, databases, and files.
* Develop and maintain data models, source-to-target mappings, business rules, and data quality checks.
* Perform data profiling, reconciliation, gap analysis, and root-cause analysis.
* Write complex SQL, Python, PySpark, and KQL queries for data processing and analysis.
* Build and support Power BI dashboards, reports, semantic models, KPIs, and analytical datasets.
* Apply statistical analysis, forecasting, anomaly detection, and basic machine learning techniques where needed.
* Support Dev/UAT/Prod deployments, CI/CD, documentation, testing, and stakeholder sign-off.
* Ensure data security, governance, RBAC, access control, and performance best practices.
Required Skills
* 5+ years of experience in data engineering, data analytics, BI, or data science.
* Strong hands-on experience with Azure data services.
* Strong skills in SQL, Python, PySpark, Power BI, and data modeling.
* Experience with ADF, ADLS Gen2, Synapse/Fabric, Databricks, dbt, or Airbyte.
* Ability to translate business requirements into technical specifications, data models, reports, and analytics solutions.
* Experience with data validation, documentation, UAT support, and stakeholder communication.
* Knowledge of Azure DevOps, Git, CI/CD, and Agile delivery is preferred.
Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, Engineering, Statistics, or a related field.