Analytics & Data Science Working Student contributing to data insights and reporting at 4screen. Collaborating with stakeholders and developing dashboards, reports, and analytical tools for decision - making.
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
Data Manager leading a team of engineers to enhance data architecture and analysis capabilities at Huckberry. Overseeing data projects to meet business goals while ensuring quality and efficiency.
Senior Associate Data Scientist at Capital One applying AI on large datasets for decision - making and customer engagement. Collaborating with teams to build innovative AI - driven solutions.
Data Scientist developing data pipelines and machine learning algorithms in an AI - focused team. Collaborating with engineers to drive data - driven insights in Guadalajara, Jalisco, Mexico.
Lead product marketing data strategy, ensuring quality data flows across all channels and supporting the Group's marketing performance on an international scale.
Data Scientist Intern supporting data analysis and machine learning in healthcare SaaS environment. Collaborating with experienced data scientists to enhance operational efficiency.
Data Scientist responsible for analytical insights in Lending Analytics and Credit Risk. Utilizing machine learning and data modeling to improve organizational impact while managing credit risk.
Data Scientist for Product Sustainability at Roche managing environmental data for sustainability reporting. Bridging Global Sustainability Experts and IT systems to ensure actionable insights for product emissions and compliance.
Senior Data Scientist at Roche leading data science projects for healthcare analytics. Collaborating with cross - functional teams to drive strategic decision - making and optimize business outcomes.
Staff Data Scientist guiding the implementation of machine learning models and deep learning tools at Blue Yonder. Collaborating with cross - functional teams to deliver retail solutions for data science and ML applications.