Data Scientist - Forecasting, Optimization & Pipelines

Lab37; Los Angeles (CA); On-site; USD 184,000 - 234,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

401(k)

Flexible Spending Accounts

Discretionary vacation days

Paid parental leave

Paid sick time

Job summary

Lab37 is seeking a Data Scientist in Los Angeles to handle data analysis, modeling, and operations research. You will work on developing forecasting and optimization models, translating ambiguous problems into structured solutions, and collaborating with cross-functional teams.

This role requires a Bachelor's degree in a quantitative field and at least 3 years of relevant experience. The position offers a salary between $184,000 - $234,000 per year plus benefits, including health insurance and 401(k).

Qualifications

• 3+ years of relevant work experience in data science, machine learning, or statistics.
• Strong analytical and statistical rigor; able to diagnose performance issues.
• Experience building and deploying models impacting business decisions.

Responsibilities

• Perform in-depth data analysis to identify trends and insights.
• Develop statistical models to solve business problems.
• Design and maintain robust data pipelines.

Skills

Data analysis

Machine learning

Statistical modeling

Programming in Python

SQL proficiency

Education

Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, Operations Research or related field

Job description

Lab37 is seeking a Data Scientist in Los Angeles to handle data analysis, modeling, and operations research. You will work on developing forecasting and optimization models, translating ambiguous problems into structured solutions, and collaborating with cross-functional teams.

This role requires a Bachelor's degree in a quantitative field and at least 3 years of relevant experience. The position offers a salary between $184,000 - $234,000 per year plus benefits, including health insurance and 401(k).