Kuraray America, Inc

Job Description We are looking for a Junior Data Scientist with strong data engineering and visualization skills to join our exciting and forward-thinking Quantitative Development team.. Interest in learning about energy trading and financial markets. Strong data engineering (e.g. pandas, PostgreSQL, Rest APIs) and visualization experience (e.g. Plotly, Dash). Previous exposure to version control (e.g. GitLab), CI/CD solutions (e.g. Argo Workflows, Terraform), containerized development (e.g. Docker, Kubernetes), and cloud deployment (e.g. Azure, AWS). From hydrogen development to algorithmic trading and everything in between.

junior data scientist

Junior Data Scientist- Trading & Origination
Full-time                Company Description          Junior Data Scientist, Trading & Origination
Location:Stamford, Connecticut, USA
Why Statkraft?
Statkraft is Europe’s largest generator of renewable energy. As a major player in the energy wholesale market, we are developing green power solutions for renewable energy producers and companies from trade and industry. We support our customers on the way to a 100% renewable electricity supply. Join the team and take part in creating tomorrow’s energy world!

Working in Quantitative Development Team, Trading & Origination (T&O)
As part of Trading & Origination (T&O), the Quantitative Development team is an exciting and newly established division with the specific mandate of driving forward T&O’s digitalisation agenda. The Quantitative Development team plays a crucial and fundamental role in enabling that T&O delivers on its strategic targets of expanding both the proprietary trading and customer service businesses.
Job Description         We are looking for a Junior Data Scientist with strong data engineering and visualization skills to join our exciting and forward-thinking Quantitative Development team. Practical knowledge of machine learning models is required as well. Previous experience in energy or financial markets is desirable, but not necessary.
The Quantitative Development team is ground-breaking initiative within Statkraft to develop new core analytical and compute capabilities using the latest best-in-class services and technology stack. In your role you will work with various proprietary trading teams to help build a competitive edge for our commercial business via data and digitalization. While your focus will be on data engineering and visualization, you will work in all phases of the end-to-end data science lifecycle: understanding business needs, data gathering, model development, and deployment.
Reporting directly to the VP of Quantitative Development, you will leverage our technologies and markets intelligence to deliver solutions to our trading teams. At the same time, you will apply a clear passion for automation to build and continuously evolve our overall quantitative ecosystem.
This role will be based in Stamford, Connecticut, USA
Example responsibilities will include:
Build and maintain dashboards containing key signals to be used by the proprietary trading desks
Understand current data flow & architecture, and execute continuous ingestion improvements as more data requirements come through
Apply understanding of markets and fundamentals behind machine learning models to improve existing applications and inspire new ones
Contribute to and review colleagues code in the shared repositories
Investigate commercial tools as options for delivering solutions
Identify and communicate business needs between the trading desks and the Quantitative Development team
Assist with socializing and managing the Quantitative Development team’s strategic initiatives to the trading desks
Research on new trends and practices in energy markets and/or data science
Report progress to VP of Quantitative Development
Qualifications           M.S./B.S. in Computer Science, Engineering, Statistics, Mathematics or related field of study
Interest in learning about energy trading and financial markets
Well-versed in Python
Strong data engineering (e.g. pandas, PostgreSQL, Rest APIs) and visualization experience (e.g. Plotly, Dash)
Practical experience with machine learning packages (e.g. sckit-learn, LightGBM, XGBoost, Keras)
Previous exposure to version control (e.g. GitLab), CI/CD solutions (e.g. Argo Workflows, Terraform), containerized development (e.g. Docker, Kubernetes), and cloud deployment (e.g. Azure, AWS)
Collaboration frameworks (e.g. Jira, Confluence)
Strong analytical skills and commercial mindset with the ability to efficiently troubleshoot problems
Ability to collaborate and communicate well across different environments
Possess a can-do attitude
Fluent in English, both oral and in writing
Additional Information          What we offer
A career with Statkraft is a career filled with purpose – meaning that every employee is not just making a living, they are making a real difference to the planet, our communities, and the future. Together, we work on the front lines of changing the game for renewable energy. From hydrogen development to algorithmic trading and everything in between. We have 125 years of unrivalled expertise in creating technologies that put ecosystems, communities, and our environment first. With us, you will shape a career that is truly forward-facing with many amazing opportunities and offerings to match. This includes:
Extensive professional and personal learning and development opportunities
The chance to grow your career alongside a truly global network of experts, leaders, specialists and graduates from different countries and backgrounds
A diverse workplace with regard to gender, age, and cultural background
Statkraft offers competitive terms of employment and benefits schemes, and we’re a trusted employer that puts the safety of our people first. We believe that a safe and healthy working environment is a matter of choice, not chance.
Statkraft manages critical infrastructure and services in several countries. The applicant must be eligible for security clearance and authorization.

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