Data Scientist
Full Time
full time
$114,100 - $134,100/year
29 Jan 2025
Huntington Beach
Verified by Turrior
Content + Source + Freshness • 12 Dec 2025 • 95% confidence
79 / 100
Offer value
Moderate value due to competitive salary, role relevance in data analytics, and growth opportunities, but limited information on company stability.
- Salary range: $114,100 - $134,100 annually
- Strong growth pathway in data science
- Impactful role in a growing organization
- High expectations for model performance and innovation
Pros
- Salary range: $114,100 - $134,100 annually
- High demand for data science skills in the job market
- Pathway to advanced roles in data science
Cons
- Limited insight into company culture and stability
- High performance expectations for complex tasks
- Preference for onsite work may limit applicant pool
Who it's for
Mid-Level • Onsite in Huntington Beach, CA
Good fit
- Mid-level data scientists with analytical skills
- Individuals wanting to work in business intelligence
- Candidates ready to engage in continuous learning
Not recommended for
- Entry-level candidates without relevant experience
- Those preferring remote work
- Individuals not skilled in machine learning
Motivation fit
Desire to drive business decisions through dataInterest in managing complex data modelsWillingness to engage in continuous learning and improvement
Key skills
Data analytics and machine learningProgramming in Python and RStrong statistical analysis
Score: 79/100 AI verified analysis
About the job
Located in the vibrant coastal city of Huntington Beach, CA, this Data Scientist position offers a unique opportunity to work at the intersection of machine learning and predictive analytics. Our client is seeking a highly skilled professional who will contribute to the development of advanced datadriven solutions. This role is ideal for individuals who are passionate about leveraging data to drive business success and are eager to engage with both independent research and collaborative projects. With career growth opportunities leading to positions such as Lead Data Scientist and ML Architecture roles, this position promises both professional development and the chance to make a significant impact. Key Responsibilities Develop and implement machine learning models to solve complex business problems. Analyze large datasets to extract actionable insights and create predictive analytics solutions. Build and maintain data pipelines to ensure seamless model deployment. Collaborate with business stakeholders to gather and refine project requirements. Present analytical findings and model insights to executive teams effectively. Optimize model performance and accuracy through continuous evaluation and improvement. Maintain comprehensive documentation of methodologies and analytical processes. Ensure data quality and integrity across all projects. Implement A/B testing frameworks to validate model predictions. Conduct independent research to explore innovative data science methodologies. Design and execute feature engineering strategies to enhance predictive models. Required Qualifications MS or PhD in Data Science, Statistics, or a related field. Strong programming skills in Python and R are essential. Extensive experience with machine learning frameworks such as TensorFlow and PyTorch. Expertise in SQL and data manipulation techniques. Strong statistical analysis skills with a focus on practical applications. 37 years of experience in a Data Science role within an analytics setting. Excellent communication abilities to convey complex data insights to nontechnical stakeholders. Familiarity with big data technologies is a plus. Experience with data visualization tools to create clear and informative reports. Must be willing to work onsite in Huntington Beach, CA, and possess a strong appreciation for the local business environment. Compensation & Benefits Competitive salary range: $114,100 $134,100, depending on experience. Comprehensive medical, dental, and vision coverage to ensure overall wellbeing. Generous paid time off and holiday policies to promote worklife balance. Career advancement opportunities within a dynamic and growing organization. Access to ongoing training and certifications to support professional development.


