Senior Data Scientist

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 -95

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.

Recruitment Transparency Notice



Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (, ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process.

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.

W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.
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About Eliassen Group:

Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.

Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.

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