Data Scientist

KellyMitchell Group; Glendale (CA); Hybrid; USD 96,000 - 138,000; Full time

Benefits offered by this job

Medical, Dental, & Vision Insurance

Employee-Owned Profit Sharing (ESOP)

401K offered

Job summary

KellyMitchell Group is seeking a Senior Data Scientist for a 1-year contract in Glendale, CA. Hybrid work arrangement with 2-4 days onsite; W-2 only; no third-party or C2C.

The role requires 5+ years of data science experience, strong ML background, and proficiency in Python and Snowflake. Responsibilities include building AI/ML solutions, end-to-end ML pipelines, and collaboration with engineering and data teams.

Qualifications

• Bachelor’s degree in a quantitative field.
• 5+ years of data science experience delivering projects.
• Proficiency in Python and ML libraries (scikit-learn, numpy, pandas).

Responsibilities

• Develop novel AI/ML solutions to advance content.
• Architect data models and production pipelines with telemetry.
• Design and deploy predictive models and ML algorithms.
• Analyze large datasets to identify trends and insights.
• End-to-end ML workflow: data collection, features, training, deployment.
• Monitor model performance and stay current with AI/ML trends.
• Provide technical guidance to engineers.
• Collaborate with data engineering to ensure data quality.
• Communicate insights to leadership.
• Contribute to Snowflake-based environments.

Skills

Python

Machine Learning

R/Scala

Data storytelling

Data analysis

Education

Bachelor’s degree in a quantitative field

Master’s degree

Tools

Snowflake

Databricks

BigQuery

dbt

Airflow

Streamlit

Job description

Job Summary

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.

Core Responsibilities

• 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

Required Skills/Experience (Must-Haves)

• 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

Preferred Skills/Experience (Nice-to-Haves)

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

Key Competencies & Behaviors

• 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

Work Environment

Location: Glendale, California

Hybrid, 2-4 days onsite

Compensation & Benefits

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

About KellyMitchell

At KellyMitchell, 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.