Data Scientist

Key Skills

Data Analysis, Data pipelines, Databricks, Design, Effective communication skills, Machine learning techniques, MLflow, PySpark, Python Programming, SQL

Job Description

Bentley Systems is seeking a skilled Data Scientist to join a budding team of data professionals. The team is focused on the creative use of data to design, prototype and build engaging enterprise scale solutions. As a Data Scientist, you will be responsible for the end-to-end data science pipeline – from data exploration to deploying models in a production environment. In a small team setting, you’ll grow versatile skills, collaborate closely with team members, enjoy flexibility, and have a direct impact on the business.

The role will involve exploring diverse datasets, developing innovative data products to tackle complex business goals, and crafting compelling narratives for different audiences. As a key player in our data science team, you’ll have the chance to deliver exciting projects, drive ongoing development of best practices, and help pioneer the team’s success.

Your Day-to-Day:

• Collect, process, and organize data from various sources in collaboration with Data Engineers.

• Conduct exploratory data analysis and use statistical and machine learning techniques to identify trends, patterns, and relationships in the data.

• Develop, implement, and deploy predictive models and algorithms using a variety of machine learning techniques.

• Collaborate with cross-functional teams, including product managers, engineers, and marketing professionals, to translate data insights into actionable business insights.

• Stay up to date with the latest developments in data science and machine learning and apply these techniques to solve business problems.

• This role does not require travel.

• Requires sitting or standing at will while performing work on a computer (or any other physical requirements).

What You Bring to The Team:

• Bachelor’s or master’s degree in a relevant field such as computer science, mathematics, statistics, or a related field or equivalent work experience.

• 3-4 years’ experience in Python, SQL/HQL, and PySpark, with Databricks and MLFlow experience desired.

• Strong experience with machine learning concepts and techniques, and the ability to apply these techniques to real-world problems.

• Excellent communication and collaboration skills, and the ability to work effectively with people from different departments and levels of the organization, technical and non-technical.

What We Offer:

• A great Team and culture – please see our Recruitment Video.

• An exciting career as an integral part of a world-leading software company providing solutions for architecture, engineering, and construction.

• Competitive Salary and benefits.

• The opportunity to work within a global and diversely international team.

• A supportive and collaborative environment.

• Colleague Recognition Awards.

LI-Remote

About Bentley Systems:

Bentley Systems (Nasdaq: BSY) is the infrastructure engineering software company. We provide innovative software to advance the world’s infrastructure – sustaining both the global economy and environment. Our industry-leading software solutions are used by professionals, and organizations of every size, for the design, construction, and operations of roads and bridges, rail and transit, water and wastewater, public works and utilities, buildings and campuses, mining, and industrial facilities. Our offerings, powered by the iTwin Platform for infrastructure digital twins, include MicroStation and Bentley Open applications for modeling and simulation, Seequent’s software for geoprofessionals, and Bentley Infrastructure Cloud encompassing ProjectWise for project delivery, SYNCHRO for construction management, and AssetWise for asset operations. Bentley Systems’ 5,000 colleagues generate annual revenues of more than $1 billion in 194 countries.

Equal Opportunity Employer:

Bentley is proud to be an equal opportunity employer and considers for employment all qualified applicants without regard to race, color, gender/gender identity, sexual orientation, disability, marital status, religion/belief, national origin, caste, age, or any other characteristic protected by local law or unrelated to job qualifications.