At Why Hiring, we believe in the power of connecting talented individuals with incredible remote job opportunities. Our mission is to simplify the job search process and empower professionals to find fulfilling roles that align with their skills and passions, regardless of geographical constraints.
In this role, your role will include analyzing various datasets, creating innovative data solutions to address intricate business challenges, and presenting insightful stories tailored to different audiences.
Responsibilities:
- Partner with Data Engineers to gather, process, and organize data from multiple sources.
- Collect, process, and organize data from various sources in collaboration with Data Partner with Data Engineers to gather, process, and organize data from multiple sources.
- Perform exploratory data analysis, applying statistical and machine learning methods to uncover trends, patterns, and relationships within the data.
- Create, implement, and deploy predictive models and algorithms using various machine learning techniques.
- Work closely with product managers, engineers, and marketing professionals to convert data insights into practical business strategies.
- Keep abreast of the latest advancements in data science and machine learning, utilizing these innovations to address business challenges.
Your Qualifications:
- A degree in computer science, mathematics, statistics, or a related field, or comparable work experience.
- Hands-on experience with Python, SQL/HQL, and PySpark; familiarity with Databricks.
- Proficient in machine learning concepts and techniques, with practical experience in solving real-world problems.
- Strong communication and collaboration abilities, adept at working with diverse teams across different departments and levels, both technical and non-technical.
What We Offer:
- A dynamic career with a top-tier software company specializing in architecture, engineering, and construction solutions.
- Attractive salary and comprehensive benefits package.
- The chance to be part of a global team with diverse international perspectives.
- A Team-oriented atmosphere.
Location: Home-Based Canada.