Future Talent Pipeline - Commercial Data Scientist
- Analyze large, complex datasets to uncover insights, patterns, and trends that drive business strategy and operational improvements
- Partner with trading desks, commercial teams, and IT ML Engineers to implement predictive analytics projects and deploy models using MLOps best practices (CI/CD, MLflow, monitoring) on Databricks-on-Azure tech stack
- Design, build, and integrate data science solutions into existing systems and platforms for seamless user experiences
- Perform complex statistical analysis, data mining, and visualization to enable data-driven decision-making
- Contribute to reporting strategies, translating analytical findings into actionable recommendations for stakeholders
- Share knowledge and build data science expertise within the business through mentoring and collaboration
- Actively participate in code reviews, experiment design, and tooling decisions to drive team quality and velocity
- Bachelors degree (or equivalent) in Computer Science, Data Science, Machine Learning, or a related field; Ph.D. is a plus
- 3+ years of industry experience developing and deploying machine learning models and advanced analytics solutions
- Advanced proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn); experience with Databricks, Spark, and Azure cloud services; familiarity with containerization (Docker) is a plus
- Advanced coursework in math, statistics, and machine learning
- Legally authorized to work in the posting country
- Thrives in ambiguous, high-volume data environments, accurately defining key elements and encouraging innovative analysis.
- Creates new and better ways for the organization to succeed, offering original ideas and enhancing others' creative solutions.
- See's ahead to future possibilities, translating trends and insights into breakthrough strategies for the business.
- Experience in the energy or commodities trading industry, with knowledge of financial markets and trading concepts
- Proven ability to integrate machine learning systems into interactive dashboards (e.g., Dash, Streamlit) and present use cases to non-technical colleagues
- Resourceful, adaptable, and motivated to make an impact in a dynamic, fast-growing team
- Demonstrable attention to detail and commitment to quality
- Expertise in exploring and extracting insights from large multi-source data sets
- Strong problem-solving skills and ability to work independently and collaboratively
- Strong foundations in statistics, time series modeling, and econometrics
- Excellent communication skills, able to explain complex technical concepts to non-technical stakeholders
- Annual Variable Cash Incentive Program (VCIP) bonus
- 8% 401k company match
- Cash Balance Account pension
- Medical, Dental, and Vision benefits with an annual company contribution to a Health Savings Account for employees on HDHP
- Total well-being programs and incentives, including Employee Assistance Plan, well-being reimbursement, and backup family care services
- This is a pipelining requisition only. It is not tied to a current job opening.
- Applicants will be reviewed and contacted as positions matching their skills become available.
- We encourage you to apply so we can stay connected as opportunities arise
- Stay connected with us on LinkedIn
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