Data Scientist analyzing claims data, optimizing processes and collaborating across departments at Allianz Spain. Utilizing statistical techniques and developing predictive models for operational efficiency.
About the role
- Data Scientist supporting Context Labs’ Decarbonization as a Service platform, specializing in emissions analytics for the energy sector. Collaborating with teams in Cambridge, MA, and Amsterdam, NL.
Responsibilities
- Perform exploratory and diagnostic data analysis to derive business insights.
- Implement emissions calculations in robust and reproducible way.
- Apply state-of-the-art data mining and machine learning methods to real-world problems.
- Develop and validate predictive models using classification, regression, or time series techniques.
- Process, cleanse, and verify the integrity of data used for analysis.
- Work with engineering and business stakeholders to define requirements and resolve ambiguities.
- Communicate results and insights clearly to both technical and non-technical audiences.
- Collaborate closely with colleagues in our Cambridge, MA, and Amsterdam, NL offices.
Requirements
- Domain Expertise Industry experiences working with energy, utilities or industrial datasets (e.g., oil and gas, renewables, or emissions).
- Familiarity with concepts from engineering system modeling, thermodynamics, or process simulation.
- Strong skills in Exploratory Data Analysis (EDA), feature engineering and data storytelling.
- Proficient in Python for data science and machine learning, using tools like scikit-learn, XGBoost, NumPy and Pandas.
- Experience developing and validating supervised ML models (classification, regression and time-series).
- Comfortable working with large, messy datasets in cloud-based environments.
- Ability to communicate complex analytical findings clearly to a variety of stakeholders.
- Familiarity with SQL or other structured query tools.
- Bonus if you have:
- Familiarity with Pyspark, Delta Lake or other distributed computing tools.
- Experience deploying models using lightweight frameworks (eq. Flask, FastAPI, Streamlit).
- Knowledge of data ontologies, knowledge graphs or semantic modeling.
- PhD or academic research experience in a related discipline (e.g. Chemical, Mechanical or Petroleum Engineering, Data Science, or Computer science and engineering).
- Experience with emissions estimation or climate analytics.
Benefits
- Context Labs embraces diversity and equal opportunity.
- We provide reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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