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Data Engineer

Advancio · Remote

Weak hiring record · median 344 days open

2020

Hiring signal

Ghost risk

Open 344 days · How we score

All reasons
  • Open 344 days
  • 52% of this employer's openings are over 60 days old
  • No location stated

In its favour

  • Still listed on the employer's own board

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Data Engineer at Advancio. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

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

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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.

Skills

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