W
New
3 weeks ago
Job Summary
We leverage unconventional data sources to provide unique and actionable insights, helping businesses across various sectors make informed decisions.
- Minimum Qualification: Degree
- Experience Level: Mid level
- Experience Length: 3 years
Job Description/Requirements
Your day-to-day:
- Analyzing and interpreting complex time series data to provide actionable insights and solutions.
- Designing, implementing, and maintaining data-driven models and algorithms.
- Collaborating with cross-functional teams to understand data needs and deliver timely solutions.
- Ensuring data quality and integrity throughout all processes.
- Utilizing Optical Character Recognition (OCR) technology to convert different types of documents into editable and searchable data.
- Continuously researching and implementing best practices in data science and machine learning.
- Contributing to the development and improvement of internal data processing tools and infrastructure.
What experience you need:
- Bachelor’s, Master’s, or Doctoral degree in Data Science, Computer Science, Statistics, or a related field.
- A minimum of 3 years of work or research experience dealing with large datasets.
- Strong coding skills in Python or other object-oriented programming languages.
- Graduate-level knowledge of statistics, including but not limited to hypothesis testing, regression analysis, and probability.
- Excellent work ethic and the ability to thrive in a fast-paced startup environment.
- Strong problem-solving skills and attention to detail.
- Good communication skills, with the ability to articulate complex data concepts to non-technical stakeholders.
- Experience working in a high output team.
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