Data Scientist

Full-time - Mid Level

Chandler, AZ

10,001+ employees

Furniture, Home Furnishings, Electronics, and Appliance Retailers

About the position

The Data Scientist position at ASSA ABLOY involves designing, implementing, and optimizing machine learning models to extract insights from structured and unstructured data. The role is integral to the Openings Studio development team, focusing on solving complex business challenges through data analysis and predictive modeling. The ideal candidate will have experience with large language models and a strong foundation in traditional data science techniques.

Responsibilities

• Analyze, interpret, and model structured and unstructured data to solve complex business challenges.
• Develop predictive models and algorithms to derive actionable insights and automate repetitive tasks.
• Utilize machine learning techniques, including supervised/unsupervised learning, reinforcement learning, and deep learning.
• Work with large datasets from various sources, including databases, text, images, and other unstructured formats.
• Develop, deploy, and optimize data pipelines for real-time and batch processing.
• Apply statistical analysis and advanced data modeling techniques to identify trends and patterns.
• Collaborate with cross-functional teams to integrate insights into the organization's decision-making processes.
• Stay up-to-date with industry trends, emerging technologies, and new frameworks.

Requirements

• College/University degree in Data Science, Computer Science, Mathematics, Statistics, or similar, or equivalent work experience.
• Minimum of 2 - 3 years of industry-related experience.
• Proficiency in programming languages such as Python, R, SQL, or Scala.
• Experience with data science frameworks like TensorFlow, PyTorch, scikit-learn, Keras, and frameworks for large language models.
• Strong understanding of data wrangling, preprocessing, and feature engineering techniques.
• Solid knowledge of statistical methods, hypothesis testing, and data visualization tools.
• Experience with cloud-based data platforms such as AWS, GCP, or Azure.
• Familiarity with version control (Git), CI/CD pipelines, and containerization (e.g., Docker).
• Strong analytical thinking and problem-solving skills.

Nice-to-haves

• Experience with natural language processing techniques.
• Familiarity with big data technologies such as Databricks, Hadoop, Spark, or Hive.
• Experience deploying machine learning models in production environments.
• Creative problem-solving approach and strong attention to detail.
• Experience within the AEC industry.

Benefits

• Competitive compensation package
• 401(k) plan
• Education assistance