Data Scientist

Location: Phoenix, AZ

ASSA ABLOY is a global leader in door opening solutions dedicated to providing a safe, secure, and accessible building environment. Every day, we help billions of people move through a safer, more open world with ease. If you’ve ever walked through an automatic door, stayed in a hotel, or gone through passport control, you’ve probably used one of our products or services. ASSA ABLOY’s offerings include products and services related to locks, doors, gates, and entrance automation such as controlling access and confirming identities with keys, cards, tags, mobile and biometric identity verification systems, mechanical and digital locks, cylinders, security doors and automated entrances.

What you will be doing:

We are seeking a skilled and innovative Data Scientist to the Openings Studio development team. The successful candidate will be responsible for designing, implementing, and optimizing machine learning models that extract insights from both structured and unstructured data sources. In addition to a solid foundation in traditional data science techniques, the ideal candidate will be experienced in working with newer frameworks related to large language models (LLMs) and familiar with technologies related to them.

Key areas you will contribute to the role include:

• Analyze, interpret, and model structured and unstructured data to solve complex business challenges.
• Develop predictive models and algorithms to derive actionable insights & automate repetitive tasks.
• Utilize machine learning (ML) techniques, such as 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, including end users & software engineers, to integrate insights into the organization’s decision-making processes.
• Stay up-to-date with industry trends, emerging technologies, and new frameworks.
• Experience with generative AI techniques and transformer-based models, including fine-tuning large language models (LLMs) for specific applications, as well as expertise in Retrieval-Augmented Generation (RAG) frameworks for enhancing knowledge-intensive tasks.

What we are looking for:

• Strong interpersonal skills, with the ability to work effectively in collaborative and fast-paced environments.

Education and/or Experience:

• Your background includes a College/University degree (preference for specialization in related curricula such as: Data Science, Computer Science, Mathematics, Statistics, or similar), or have work experience commensurate with, minimum high school/GED diploma.
• Minimum of 2 – 3 years of industry-related experience.
• Proficiency in Microsoft Office tools and programming languages such as Python, R, SQL, or Scala.
• Experience with common data science frameworks such as TensorFlow, PyTorch, scikit-learn, Keras, and newer frameworks for large language models like, but not limited to, Hugging Face or OpenAI.
• Strong understanding of data wrangling, preprocessing, and feature engineering techniques for both structured and unstructured data.
• Solid knowledge of statistical methods, hypothesis testing, and data visualization tools (e.g., Matplotlib, Seaborn, Tableau, or Power BI).
• Experience with cloud-based data platforms such as AWS, GCP, or Azure, including data storage and ML tools.
• Familiarity with version control (Git), CI/CD pipelines, and containerization (e.g., Docker).
• Strong analytical thinking & problem-solving skills.

Preferred Qualifications:

• 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.
• Strong interpersonal skills, with the ability to work effectively in collaborative and fast-paced environments.
• Creative problem-solving approach and strong attention to detail.
• Experience within the AEC industry is a plus.

Special considerations:

• This position is based in Phoenix, Arizona and must be available to work onsite upon the opening of our new office facility. 

ASSA ABLOY offers a competitive compensation and benefits package, including a 401(k) plan, education assistance, and an environment that reflects our commitment to our employees. The wage range for this role considers a broad scope of factors that are considered when making compensation decisions. Pay within each range is based on a variety of factors including, but not limited to, to primary work job-related knowledge, skills, experience, training, licensure and certifications, business requirements, geographic location and other business and organizational needs. This salary range is a reasonable estimate for this position at the time of posting. ASSA ABLOY conducts regular review of compensation ranges and therefore reserves the right to alter this range at any given time.

Working for ASSA ABLOY means that you will be part of a dynamic environment, developing innovative solutions to improve our customers' lives. As the global leader in door opening solutions, we are using the latest technologies to open doors to events, hospitals, education, homes, hotels, airports and businesses. Joining ASSA ABLOY means being part of a fast-moving company with many opportunities.

“Let’s open the doors to the future – together!”

ASSA ABLOY is an Equal Opportunity Employer/Minorities/Females/Disabled/Veteran

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We are the ASSA ABLOY Group
Our people have made us the global leader in access solutions. In return, we open doors for them wherever they go. With nearly 61,000 colleagues in more than 70 different countries, we help billions of people experience a more open world. Our innovations make all sorts of spaces – physical and virtual – safer, more secure, and easier to access. 

As an employer, we value results – not titles, or backgrounds. We empower our people to build their career around their aspirations and our ambitions – supporting them with regular feedback, training, and development opportunities. Our colleagues think broadly about where they can make the most impact, and we encourage them to grow their role locally, regionally, or even internationally.

As we welcome new people on board, it’s important to us to have diverse, inclusive teams, and we value different perspectives and experiences.