Job Description

Located in the vibrant city of Pasadena, CA, this Data Scientist position offers an exciting opportunity to specialize in machine learning and predictive analytics. As a key member of our client’s team, you will play a pivotal role in driving data-driven insights and solutions that directly impact business outcomes. The position demands a strong background in statistical analysis, machine learning algorithms, and data modeling, with a focus on practical applications to solve complex business challenges.

Key Responsibilities

• Develop and implement machine learning models to address business needs.
• Analyze large datasets to extract actionable insights.
• Create predictive analytics solutions for various business units.
• Build and maintain data pipelines for model deployment.
• Collaborate with business stakeholders to gather and refine requirements.
• Present analytical findings and insights to executive teams.
• Optimize model performance and accuracy continuously.
• Maintain comprehensive documentation of methodologies and processes.
• Ensure data quality and integrity in all analyses.
• Implement and manage A/B testing frameworks.
• Conduct independent research to explore innovative data solutions.
• Engage in cross-functional collaboration to support diverse business initiatives.

Required Qualifications

• MS/PhD in Data Science, Statistics, or a related field.
• Strong programming skills in Python and R.
• Extensive experience with ML frameworks such as TensorFlow or PyTorch.
• Proficiency in SQL and data manipulation.
• Expertise in statistical analysis and data visualization tools.
• 3-7 years of experience in Data Science within an analytics setting.
• Familiarity with Pasadena’s local data regulations and business environment.
• Ability to engage with Pasadena-based stakeholders effectively.

Compensation & Benefits

• Competitive salary range: $111,000-$131,000, depending on experience.
• Comprehensive medical, dental, and vision coverage.
• Paid time off and holidays.
• Career advancement opportunities, including potential roles as Lead Data Scientist or ML Architect.
• Ongoing training and certification opportunities to enhance professional skills.

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