Data Engineer Based in U.S.A

Remote Full-time
Job Information Date Opened 11/24/2025 Job Type Full time Work Experience 5+ years Industry Technology Remote Job Job Description This is a remote position. • ** This position is only for candidates based in Texas or California (U.S.A.)*** At Advancio, we are passionate about technology and its ability to transform the world. We are rapidly expanding and building a company where we serve exceptional businesses, hire top talent, and have a lot of fun doing what we love! Job Summary: We are seeking an experienced Data Scientist to extract actionable insights from complex datasets and develop advanced models to drive business growth. The ideal candidate has a deep understanding of machine learning, statistical analysis, and data visualization, with the ability to translate findings into impactful solutions. What will you do: • Analyze large and diverse datasets to uncover patterns, trends, and actionable insights. • Develop, train, and deploy machine learning models to solve complex business problems. • Collaborate with cross-functional teams to identify opportunities for data-driven improvements. • Build and maintain predictive models, recommendation systems, or optimization algorithms. • Design and implement data preprocessing pipelines, ensuring data quality and accessibility. • Create compelling visualizations and reports to communicate findings effectively to stakeholders. • Stay updated with the latest advancements in data science, machine learning, and AI technologies. Requirements • 5+ years of professional experience in data science or related fields. • Advanced English communication skills, both verbal and written. • Proficiency in programming languages such as Python or R, with experience in data manipulation libraries (e.g., Pandas, NumPy). • Expertise in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. • Strong statistical analysis skills and knowledge of algorithms and data structures. • Experience with SQL and working with relational databases. • Familiarity with big data tools (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP). • Ability to create data visualizations using tools like Tableau, Power BI, or Matplotlib. Apply tot his job
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