Senior Data Scientist

Eliassen Group; Glendale (CA); Híbrido; USD 147.000 - 152.000; Jornada completa

Descripción de la vacante

Eliassen Group in Glendale, CA seeks a Senior Data Scientist to develop and deploy machine learning solutions that drive business value across studio operations. The role blends hands-on model development with production deployment, collaborating with engineering to build scalable ML systems.

The ideal candidate has deep ML expertise, strong Python skills, and experience operationalizing models in production environments, plus Snowflake experience. W2 benefits provided.

Formación

• 5+ years of data science experience delivering production solutions.
• Strong Python programming skills with experience in scikit-learn, pandas and NumPy.
• Deep understanding of ML algorithms, statistics and predictive modeling.
• Experience building and deploying production ML pipelines.
• Snowflake experience and data storytelling/visualization skills.
• Problem-solving and communication abilities.
• Preferred: Master’s degree in a related field.
• Preferred: Databricks or BigQuery experience.
• Preferred: dbt and Airflow experience.
• Preferred: Streamlit experience.

Responsabilidades

• Design, build, and deploy ML models to solve business challenges.
• Develop predictive models, forecasting solutions, and statistical analyses.
• Identify trends and insights from large datasets.
• Create AI/ML solutions aligned with business objectives.
• Monitor and optimize ML model performance.
• Own the full data science lifecycle from data to deployment.
• Perform feature engineering and model selection.
• Create visualizations and present insights to stakeholders.
• Translate findings into actionable recommendations.
• Deploy and operationalize models in production.
• Build scalable ML pipelines and collaborate with engineering.

Conocimientos

Python

ML pipelines

Data modelling

Data storytelling

Communication

Production deployment

Problem solving

Educación

Bachelor's degree (CS/Stats/Data Science)

Master’s degree preferred

Herramientas

Snowflake

Airflow

dbt

Databricks

BigQuery

Streamlit

Descripción del empleo

Description

Hybrid Glendale, CA

Our client seeks a Senior Data Scientist to develop and deploy machine learning solutions that drive business value across studio operations. The role combines hands‑on model development with production deployment, partnering with engineering to build scalable and maintainable ML systems. The ideal candidate has deep machine learning expertise, strong Python skills, and experience operationalizing models in production environments.

Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $107.00 to $110.00/hr. w2

JN -102026-108895

Responsibilities

• Design, build, and deploy machine learning models to solve complex business challenges.
• Develop predictive models, forecasting solutions, and statistical analyses.
• Identify trends, patterns, and insights from large datasets.
• Create AI/ML solutions that support business objectives.
• Monitor and optimize ML model performance.
• Own the full data science lifecycle from data acquisition through deployment.
• Perform feature engineering, selection, and model development.
• Create visualizations and present insights to stakeholders.
• Translate analytical findings into actionable recommendations.
• Deploy and operationalize machine learning models in production.
• Build scalable, repeatable, and maintainable ML pipelines.
• Partner with engineering on architecture and implementation.
• Support MLOps practices and model lifecycle management.
• Contribute to Snowflake-based data and analytics ecosystems.
• Collaborate across engineering, analytics, and business teams.
• Provide technical guidance and mentorship.
• Communicate findings and recommendations to leadership.
• Stay current on emerging AI/ML technologies and industry trends.

Experience Requirements

• 5+ years of data science experience delivering production solutions.
• Strong Python programming skills.
• Expert experience with scikit-learn, pandas, and NumPy.
• Deep understanding of ML algorithms, statistics, and predictive modeling.
• Experience building and deploying production ML pipelines.
• Snowflake experience.
• Data storytelling and visualization skills.
• Problem-solving and communication abilities.
• Preferred: Master’s degree in a related field.
• Preferred: Financial forecasting experience.
• Preferred: Databricks or BigQuery experience.
• Preferred: Experience with dbt and Airflow.
• Preferred: Streamlit experience.
• Preferred: Experience building scalable AI/ML platforms.

Education Requirements

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or related quantitative field.