Operations Research Analyst (Data Scientist)

Yeji Data Lab, a global consultancy firm, is on the frontier of using advanced operations research techniques to address complex business challenges and unlock sustainable value. Our diversified clientele spans North America, with ambitions to expand our footprint in the Asia Pacific and the Middle East regions. Embark on a journey with us and play a pivotal role in shaping the future of decision-making.

We are actively seeking a data scientist with a strong background in operations research (OR) to join our versatile team, working closely with business strategists and AI experts. The right candidate will have a profound knowledge of operations research methods., along with Experience with machine learning (ML) techniques, business processes and the technology sector are preferred.

Responsibilities:

• Use statistical and machine learning models to generate impactful predictions from data.
• Gather, preprocess, and validate data from varied sources to ensure quality inputs into models.
• Utilize linear programming, mixed-integer programming, and other optimization techniques to drive business decisions.
• Craft compelling narratives and presentations based on model outputs for our esteemed clients.
• Interpret complex datasets to identify business trends, constraints, and objectives.
• Develop intuitive visualizations and reports to communicate insights and proposed solutions to stakeholders.
• Collaborate with OR & ML project leads to design, implement, and refine optimization models and simulation algorithms.
• Engage with cross-functional teams to capture business requirements, translating them into actionable OR models.

Qualifications:

• Adept at using both deterministic and stochastic models to inform business strategies.
• Previous experience with machine learning models & techniques or strong willingness to learn.
• Experience with data visualization tools such as Matplotlib, Plotly, Tableau, or Power BI.
• Strong analytical skills with experience in optimization and simulation techniques.
• Proficiency in optimization tools and platforms (e.g., CPLEX, Gurobi, Python with PuLP or similar).
• Bachelor’s or Master’s degree in Operations Research, Industrial Engineering, Computer Science, or a related field.
• Exceptional capability to articulate complex OR concepts to a non-technical audience.
• Outstanding problem-solving skills complemented by meticulous attention to detail.

If you're enthusiastic about harnessing operations research to revolutionize business strategies and crave continuous learning in a vibrant setting, we're eager to hear from you.

Apply now!