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Skillerszone Llc logo

Data Engineer / Data Scientist

Skillerszone Llc
Posted Jun 24, 2026, 9:04 PM UTC
🇺🇸United States🏠Remote📁Data & Analytics
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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

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