Pay
$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Data Scientist
United States
Live, first seen by us 78 days ago- Pay
- Pay not listedSimilar roles state $118K–$193K
- Work setting
Remote — work setting source
Work setup in the employer’s posting: Remote
From the employer’s posting- Employment
Contract — employment source
Employment type in the employer’s posting: Contract
From the employer’s posting
What you’ll work on
Full postingAnalyze, validate, and assess new data sources for trends and opportunities
Develop data-driven recommendations and present them to stakeholders
Translate business requirements into analytical solutions with cross-functional teams
Ensure data quality, integrity, and consistency across multiple sources
Support ongoing reporting, data exploration, and strategic initiatives
From the employer’s posting
Analyze, validate, and assess new data sources to identify trends, patterns, and opportunities for business insight.
Develop data-driven recommendations and present findings to stakeholders.
Work with cross-functional teams to understand business requirements and translate them into analytical solutions.
Ensure data quality, integrity, and consistency across multiple data sources.
Support ongoing reporting, data exploration, and strategic initiatives.
What you’ll bring
All qualificationsCore experience
- Proven experience as a Data Scientist or similar analytical role
- Strong expertise in data analysis, statistical modeling, and data interpretation
- Experience working with large and complex datasets
- Ability to translate business problems into actionable analytical solutions
- Strong problem-solving and critical-thinking skills
Preferred experience
- Experience within the telecommunications, cable/media, or advertising industries.
- Experience evaluating and integrating new or emerging data sources.
- Familiarity with modern data platforms, reporting tools, and data visualization techniques.
Qualification wording
Proven experience as a Data Scientist or similar analytical role.
Strong expertise in data analysis, statistical modeling, and data interpretation.
Experience working with large and complex datasets.
Ability to translate business problems into actionable analytical solutions.
Strong problem-solving and critical-thinking skills.
Experience within the telecommunications, cable/media, or advertising industries.
Experience evaluating and integrating new or emerging data sources.
Familiarity with modern data platforms, reporting tools, and data visualization techniques.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Aug 17, 202678 days ago
- Recorded sightings
- 155
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 78
Up longer than most. Similar jobs usually come down between day 7 and day 55.
From 9,988 similar postings that came down. Coming down is not always a hire.
Delan Associates is hiring
22 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring has slowed
- Its jobs tend to stay up a long time
See how this role fits your experience
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Your next step
Complete your application on delan-associates-inc.breezy.hr. The employer’s form will show what is required.
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About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
We are seeking a Data Scientist to support a large-scale data integration initiative in a fast-paced technology environment. This role will focus on analyzing and validating new data sources, uncovering insights, and helping stakeholders make data-driven decisions. The ideal candidate has strong analytical skills, experience working with complex datasets, and the ability to clearly communicate findings to both technical and business audiences.
Key Responsibilities
Analyze, validate, and assess new data sources to identify trends, patterns, and opportunities for business insight.
Develop data-driven recommendations and present findings to stakeholders.
Work with cross-functional teams to understand business requirements and translate them into analytical solutions.
Ensure data quality, integrity, and consistency across multiple data sources.
Support ongoing reporting, data exploration, and strategic initiatives.
Communicate analytical findings and project updates to leadership and business partners.
Required Qualifications
Proven experience as a Data Scientist or similar analytical role.
Strong expertise in data analysis, statistical modeling, and data interpretation.
Experience working with large and complex datasets.
Ability to translate business problems into actionable analytical solutions.
Strong problem-solving and critical-thinking skills.
Preferred Qualifications
Experience within the telecommunications, cable/media, or advertising industries.
Experience evaluating and integrating new or emerging data sources.
Familiarity with modern data platforms, reporting tools, and data visualization techniques.
Soft Skills
Excellent verbal and written communication skills.
Highly responsive, dependable, and accountable.
Strong attention to detail and commitment to quality.
Self-motivated with the ability to work independently and manage multiple priorities.
Collaborative team player who works effectively with both technical and business stakeholders.
Day-to-Day Activities
Evaluate and analyze new data sources to support ongoing business initiatives.
Collaborate with stakeholders to understand data needs and deliver actionable insights.
Perform data exploration, validation, and reporting activities.
Present findings, recommendations, and progress updates to project teams and leadership.
Support strategic data initiatives through analytical expertise and data-driven decision making.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.