Data Scientist: Forecasting, Optimization & Impact

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)

Discretionary vacation days

Job summary

Lab37 in Los Angeles is searching for a talented data scientist to drive forecasting and optimization models. The ideal candidate will analyze complex datasets and develop machine learning algorithms that influence business decisions.

Successful applicants will have a Bachelor's degree in a quantitative field and at least 3 years of relevant experience. Compensation ranges from $184,000 to $234,000 per year, with additional benefits including medical insurance and a 401(k).

Qualifications

• 3+ years of experience in data science, machine learning, or operations research.
• Experience with simulation models for complex real-world systems.
• Track record building and deploying models that drive business impact.

Responsibilities

• Perform in-depth data analysis to identify trends and insights.
• Develop statistical models and machine learning algorithms.
• Communicate complex concepts to technical and non-technical stakeholders.

Skills

Analytical skills

Statistical rigor

Programming skills (Python, SQL)

Operations research

Machine learning

Education

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

Tools

Data visualization tools

Statistical modeling tools

Job description

Lab37 in Los Angeles is searching for a talented data scientist to drive forecasting and optimization models. The ideal candidate will analyze complex datasets and develop machine learning algorithms that influence business decisions.

Successful applicants will have a Bachelor's degree in a quantitative field and at least 3 years of relevant experience. Compensation ranges from $184,000 to $234,000 per year, with additional benefits including medical insurance and a 401(k).