Remote data science role to analyze large datasets, build/train/deploy machine learning models, design data pipelines, create visualizations, and collaborate with stakeholders to drive data-driven solutions.
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.
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