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.
Job Tags
Full time, Local area,