Job Details

Responsibilities

• Collect, clean, and analyze large, complex datasets from multiple sources.
• Partner with product and engineering teams to define data-driven strategies that improve user engagement, retention, and overall customer experience.
• Develop and deploy predictive models and statistical analyses to solve business challenges.
• Build explainability (SHAP/LIME) so end users can confidently act on model outputs.
• Lead the design, execution, and analysis of experiments (A/B and multivariate testing) to measure the impact of new features and inform product decisions.
• Build dashboards, reports, and visualizations to communicate insights to both technical and non-technical stakeholders.
• Collaborate with engineers, product managers, and business leaders to translate business needs into data-driven solutions.
• Stay current with advancements in machine learning, data science, and big data technologies, and apply them to improve outcomes.
• Ensure data integrity, scalability, and reproducibility of models and analyses.

Education / Qualifications

• Bachelors or Masters degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 5+ years of experience as a Data Scientist, Machine Learning Engineer, or in a related analytical role.
• Proficiency in Python, R, or other statistical programming languages.
• Strong experience with SQL and working with relational databases.
• Solid foundation in statistics, probability, and machine learning techniques.
• Experience with data visualization tools (Tableau, Power BI, matplotlib, seaborn, etc.).
• Strong problem-solving skills with the ability to break down ambiguous business questions into structured analyses.

Preferred:

• Experience with big data tools (Spark, Hadoop, Databricks, Snowflake).
• Familiarity with cloud platforms (AWS, GCP, Azure).
• Experience with NLP, deep learning, or time-series forecasting.
• Hands-on experience with time-series modeling and anomaly detection (gradient boosting/XGBoost, LSTM/temporal models, Isolation Forest, Prophet/ARIMA).
• Background in deploying machine learning models into production environments.
• Experience working in an agile environment.
• Experience working with agile processes in Jira.
• Knowledge/awareness of Life Sciences/regulated industries.

About Hexagon

• Hexagon is a global leader in digital reality solutions, combining sensor, software and autonomous technologies. We are putting data to work to boost efficiency, productivity, quality and safety across industrial, manufacturing, infrastructure, public sector, and mobility applications.
• Hexagons Asset Lifecycle Intelligence division helps clients design, construct, and operate more profitable, safe, and sustainable industrial facilities.
• We empower customers to unlock data, accelerate industrial project modernization and digital maturity, increase productivity, and move the sustainability needle.
• Our technologies help produce actionable insights that enable better decision-making and intelligence across the asset lifecycle of industrial projects, leading to improvements in safety, quality, efficiency, and productivity, which contribute to Economic and Environmental Sustainability.
• Hexagon (Nasdaq Stockholm: HEXA B) has approximately 25,000 employees in 50 countries and net sales of approximately 5.4bn EUR. Learn more at hexagon.com and follow us @HexagonAB.

Why work for Hexagon?

At Hexagon, if you can see it, you can do it. Hexagons Asset Lifecyle Intelligence division puts their trust in you so that you can bring your ideas to life. We have emerged as one of the most engaged and enabled workplaces. We are committed to creating an environment that is truly supportive by providing the resources you need to fully support your ambitions, no matter who you are or where you are in the world.

In a recent workplace effectiveness survey, Hexagons Asset Lifecycle Intelligence division has been recognized as one of the most Engaged and Enabled workplaces compared to similar organizations.

Everyone is welcome

At Hexagon, we believe that diverse and inclusive teams are critical to the success of our people and our business. Everyone is welcomeas an inclusive workplace, we do not discriminate. We embrace differences and are committed to creating equal opportunities, an inclusive environment, and fairness for all. Respect is the cornerstone of how we operate, so speak up and be yourself. You are valued here.

Apply now