Back
Metro location, known employer, mid-level generalist ML role with broad skillset—high applicant competition.
Core ML skills transferable, but supply-chain and forecasting OR knowledge increases domain specificity.
Explicit years, required ML and tooling skills plus domain knowledge enforce strict shortlisting.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Onboard clients to Blue Yonder’s Luminate Planning and provide ongoing support via Data Science as a Service (DSaaS).
Develop and optimize machine learning classifiers, conduct data mining, and integrate third-party data to enhance analytics.
Mentor junior team members and address forecasting and data quality issues, delivering analysis and solutions to stakeholders.
1 to 3 years of relevant Data Science or analytical work experience.
Bachelor’s or Master’s degree in Computer Science with focus on Data Science.
Proficiency in at least two data science toolkits (e.g., Python, NumPy, Pandas, Matplotlib, Seaborn).
Experience with supply chain concepts, machine learning algorithms, statistics, SQL or Snowflake, and data visualization tools.
Experienced in applying advanced machine learning and statistical methods within supply chain or related analytical domains.
Capable of operational problem-solving and mentoring others in technical teams during deployment and support phases.
Comfortable working in a fast-growing, distributed team environment supporting global clients.