Job Description:

Responsibilities for this position may include but are not limited to:

· Be responsible for delivering data science solutions, business engagement and consulting, problem framing, and delivering in some capacity on other non-Data Science parts of the solution. Including data engineering (SQL, and data automation), report building (Power BI), simple user interface development (tkinter, dash, power apps, etc), and limited excel automation.

· Build a strong partnership with the business and have the desire to develop the business knowledge to design complex models around Trading

· Develop your understanding of Commodity Markets, Supply Demand Balances, Trade flows, Market Arbitrage, etc.

· Identify and frame opportunities to apply advanced analytics, modeling, and related technologies to data.

· Determine the potential value of the proposed opportunity.

· Identify needed data and appropriate technology to solve identified business challenges.

· Iterate on the data science predictive modeling workflow: clean, prepare, and validate the data, exploratory data analysis, model development, model testing, and repeat.

· Iterate on the data science optimization modeling workflow: identification of constraints, objective function, and other business rules. Develop the mathematical formulation, build/automate the input data, implement the optimizer in python (pulp), seek business feedback on the results and repeat.

· Establish the life cycle management process for models.

· Work with the team lead to establish business stakeholder engagements to share the team’s accomplishments and to identify additional opportunities.

· Provide technical mentoring in modeling and analytics technologies, the specifics of the modeling process, and general consulting skills.

· Align data science best practices with the central data science team

Required qualifications:

· BS Degree in quantitative discipline (Operations Research, Statistics, Math, Engineering, Quantitative Economics)

· Minimum of 2 years' optimization modeling. Including linear programming, mixed integer programming, and heuristic optimization.

· Intermediate to Advanced Python & SQL coding

· Delivery driven and able to work independently. This role will require you to independently explore business problems and formulate analytic solutions accordingly.

· Ability to prioritize opportunities by data readiness, business readiness, modeling difficulty, and value to the organization

· Inquisitive natured (desire to learn new things; markets, data science techniques & technologies)

· Ability to discuss and gather requirements for a Data Science solution with non-technical personnel. This will require you to set expectations with the business on what is and is not possible with data science.

· Ability to package requirements for technical resources

Preferred Qualifications:

· Master's degree in quantitative discipline (Operations Research, Statistics, Math, Engineering, Quantitative Economics)

· Understanding of Azure Cloud tools and technologies (ADF (Azure Data Factory), Pipelines, etc.)

· Experience with Azure DevOps (ADO) tool for work management

· Practitioner of Agile/SAFe practices

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