Job Title: Data Engineer

Company Name: Advancio

Job Url: https://www.simplyhired.com/job/2SV8TU5VCW0TdLjDzsqN9zUuOxCj4b5-5BCxB0GfwcAVoBAt3Kkk3A

Job Description: Data Engineer
Advancio
Remote

Job Details
Full-time
Qualifications
TensorFlow
Statistics
Power BI
Data visualization software proficiency
Azure
Data transformation pipeline development
PyTorch
5 years
Data structures
Spark
NumPy
R
Data reporting
English
Google Cloud Platform
Tableau
SQL
Data quality management
Pandas
AWS
Spark implementation
Model deployment
Matplotlib
Predictive analytics
Model training
Machine learning libraries
Senior level
AI
Cross-functional collaboration
Machine learning frameworks
Communication skills
Cross-functional communication
Hadoop
Database software proficiency
Full Job Description
Job Information
Date Opened

11/24/2025
Job Type

Full time
Work Experience

4-5 years
Industry

Technology
Remote Job

Job Description
This is a remote position.

Who We Are:


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.

Requirements
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.

Qualifications:


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.