Description review
Data Engineer / Data Scientist
Skillerszone · United States · back to the listing
HR standards
69/100
needs work
Title ↔ description
75/100
solid
Reads as
Data Engineer
93% confident
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The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
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
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