Hexagon's ETQ division is seeking a Data Scientist to leverage data for solving complex business problems, building predictive models, and driving strategic decision-making to generate measurable business impact.
Requirements
- 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.).
- Experience with big data tools (Spark, Hadoop, Databricks, Snowflake).
- Familiarity with cloud platforms (AWS, GCP, Azure).
- Hands-on experience with time-series modeling and anomaly detection (gradient boosting/XGBoost, LSTM/temporal models, Isolation Forest, Prophet/ARIMA).
Responsibilities
- Collect, clean, and analyze large, complex datasets from multiple sources.
- 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.
- 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.
Other
- 5+ years of experience as a Data Scientist, Machine Learning Engineer, or in a related analytical role.
- Strong problem-solving skills with the ability to break down ambiguous business questions into structured analyses.
- Experience with NLP, deep learning, or time-series forecasting.
- Background in deploying machine learning models into production environments.
- Experience working in an agile environment.
