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Data Engineer / Data Scientist
Data Engineer / Data ScientistSkillerszone LLC • Los Angeles, California, United States
Data Engineer / Data Scientist

Data Engineer / Data Scientist

Skillerszone LLC • Los Angeles, California, United States
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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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