Why this grade This listing scored 79/100, which is a B. It lost the most ground on remote clarity. See the breakdown
- Pay transparency 25 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Freshness 15 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Corroboration 5 / 10 Whether more than one source carries this listing.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Data Science Mid level Full Time
Job Title:
Remote Data Engineer / Data Scientist
Company:
OptiBoost Media
Location:
United States (Remote)
Job Type:
Full-time / Contract
Salary:
$90,000 – $150,000 per year (DOE)
Job Description (Indeed-Optimized):
OptiBoost Media is hiring a Remote Data Engineer / Data Scientist to support data-driven decision-making across our digital and operational platforms. This role is ideal for professionals experienced in building data pipelines, analyzing large datasets, and delivering insights that impact business growth. This is a 100% remote position open to candidates located in the United States.
Key Responsibilities:
Build, maintain, and optimize scalable data pipelines and ETL workflows
Analyze large datasets to identify trends, insights, and opportunities
Develop predictive models and machine learning solutions
Collaborate with cross-functional remote teams
Ensure data quality, accuracy, and security
Create dashboards, reports, and data visualizations
Optimize data storage and performance across platforms
Required Qualifications:
Bachelors degree in Data Science, Computer Science, Engineering, or related field
Strong proficiency in Python and SQL
Experience with cloud platforms (AWS, GCP, or Azure)
Experience with data warehouses (Snowflake, Redshift, BigQuery, etc.)
Solid understanding of statistics and data modeling
Experience working in a remote environment
Must be legally authorized to work in the United States (no visa sponsorship)
Preferred Qualifications:
Experience with Spark, Hadoop, or big data tools
Familiarity with ML frameworks (Scikit-learn, TensorFlow, PyTorch)
Experience with BI tools (Tableau, Power BI, Looker)
Background in digital marketing, SaaS, or media analytics
Why Work With OptiBoost Media:
Fully remote work environment
Competitive compensation
Career growth and skill development
Collaborative, performance-driven culture
Work on real-world data at scale
Originally posted on Himalayas
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Where this listing came from
- 13 Oct 2026 Himalayas first sighting
Seen on 1 board over 0 days.