Data Scientist

Our client, a leading entertainment provider, is seeking a Senior Data Scientist to join their team! This position is a 1 year contract, hybrid 2-4 days onsite in Glendale, California. This position is W-2 only. We do not work with third-party firms or C2C arrangements for this role.

• Develop novel AI/ML solutions to further the company’s mission of creating innovative and engaging content
• Architect efficient data models and high-quality production pipelines and partner with Engineering for all necessary telemetry
• Design, build, and deploy predictive models, machine learning algorithms, and statistical analyses to address complex business challenges
• Identify trends, patterns, and insights from large datasets to inform decision-making
• Work end to end from data collection, feature generation and selection, algorithm development, forecasting, visualization and communicating of model results
• Think creatively to solve complex problems
• Monitor and maintain the performance of ML models
• Research and stay up-to-date on the latest AI/ML trends and technologies
• Provide technical guidance and mentorship to other engineers
• Collaborate with data engineering teams to ensure the quality and accessibility of data
• Communicate insights and best practices in leadership
• Develop machine learning models
• Support financial and operational business use cases
• Design advanced analytical solutions
• Deploy machine learning solutions
• Support ML Operations (MLOps)
• Work with engineering teams
• Create solutions that are repeatable, maintainable, and scalable
• Contribute to Snowflake-based environments

• Bachelor’s degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related quantitative field
• 5+ years of experience in data science, with a track record of delivering successful projects
• Machine Learning experience
• Python
• Snowflake
• MLOps experience
• Proficiency in programming languages such as Python, R, or Scala
• Expert-level experience working with scikit-learn, numpy, and pandas and other ML libraries
• Solid understanding of ML technologies, models, mathematics and statistical methods
• Expert data-driven storytelling skills to convey insights to business leaders and technical stakeholders and to drive impactful decisions, with an eye for great ways to visualize data
• Experience building and deploying full stack ML pipelines: data extraction, data mining, model training, feature development, testing, and deployment
• Machine learning expertise was repeatedly identified as the most important qualification
• Candidates should clearly demonstrate experience building ML models

• Master’s degree
• Experience with financial forecasting models
• Experience with cloud databases, such as Snowflake, databricks, and Big Query
• Familiarity with data processing tools like dbt and Airflow, UI layers like Streamlit is a big plus

• Advanced Analytical Solutions
• Technical guidance and mentorship
• Excellent problem-solving skills and the ability to think creatively
• Research and stay up-to-date on the latest AI/ML trends and technologies

Location:

Glendale, California

Hybrid, 2-4 days onsite

Pay Range:
The approximate pay range for this position is between $70.00 and $100.00 per hour Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

• Medical, Dental, & Vision Insurance Plans
• Employee-Owned Profit Sharing (ESOP)
• 401K offered

At Kelly Mitchell, our culture is world class. We’re movers and shakers! We don’t mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges.

As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice.