Own end-to-end scalable machine learning models.
Apply large language models to create Gen-AI applications.
Partner with finance teams to enhance forecasting methods.
Analyze complex datasets using advanced analytics.
Establish best practices and mentor junior analysts.
Collaborate with stakeholders and data scientists to develop impactful solutions.

Requirements

Bachelor’s degree in Data Science, Computer Science, Statistics, Operations Research, or related field required.
4+ years of experience as a Data Scientist or ML Engineer.
Demonstrated experience in solving time series forecasting problems.
Expert-level proficiency in Python and hands-on experience with key libraries (Pandas, NumPy, etc.).
Skilled in ML model monitoring.
Experience leveraging large language models (LLMs).
Strong proficiency in SQL for data extraction and transformation.
Ability to communicate complex technical concepts to business leaders.
Experience leading complex projects and collaborating across functional teams.

Benefits

Cash compensation includes base salary, on-target commission, and annual bonus targets.
Eligible roles can participate in equity plan for RSUs.
Some roles may also be eligible for overtime pay.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

machine learninglarge language modelstime series forecastingPythonPandasNumPyML model monitoringSQLdata extractiondata transformation

communicationmentoringcollaborationproject leadership

Bachelor’s degree in Data ScienceBachelor’s degree in Computer ScienceBachelor’s degree in StatisticsBachelor’s degree in Operations Research