Data Scientist

Linden National Corp.; Riverside (CA); Hybrid; USD 140,000 - 191,000; Full time

Benefits offered by this job

Health insurance

401(k) plan

Tuition reimbursement

Gym membership

On-site yoga

Team-building activities

Flexible hours

Remote work options

Job summary

Linden National Corp. in Riverside, CA, is seeking a Data Scientist to analyze data, build models, and create visualizations supporting strategic initiatives. The role collaborates with engineers, product managers, and designers in a dynamic, growth-oriented environment.

The candidate will develop ML models, drive data-driven decisions, and communicate insights to stakeholders, with a focus on quality, scalability, and impact. Flexible hours and remote options are available.

Qualifications

• Degree in Data Science, Statistics, Computer Science, or a related field.
• 3+ years of experience in data science with ML/statistical modeling.
• Proficiency in Python, R, and SQL.

Responsibilities

• Develop and implement data-driven strategies to drive business growth.
• Analyze large datasets to identify trends and insights.
• Build and deploy machine learning models to automate processes and improve decision-making.
• Collaborate with cross-functional teams to translate business needs into data solutions.
• Communicate complex data findings to non-technical stakeholders.
• Continuously improve data processes and systems.

Skills

Python

R

SQL

Data Visualization

Machine Learning

Statistical Modeling

Education

Master's or PhD in Data Science/CS/Statistics

Tools

Tableau

Power BI

Job description

Linden National Corp. seeks a Data Scientist in Riverside, CA, for a full-time position. This role involves leveraging data to drive business decisions and innovation.

The Data Scientist will analyze data, build models, and create visualizations to support strategic initiatives. Daily tasks include data cleaning, statistical analysis, and model development.

The Data Scientist will collaborate with a cross-functional team in Riverside, CA, a city known for its pleasant climate and diverse community. The workplace offers a professional environment with opportunities for growth, including mentorship programs and training sessions. The office is equipped with modern technology and ergonomic furniture to ensure comfort and productivity. The team is composed of individuals from various backgrounds, including engineers, product managers, and designers, fostering a collaborative and innovative atmosphere. The company values work-life balance and offers flexible work arrangements, such as remote work options and flexible hours. The workplace also provides access to wellness programs, including gym memberships and on-site yoga classes, to support the overall well-being of its employees. Additionally, the company organizes regular team-building activities and social events to strengthen relationships and promote a sense of camaraderie among team members.

The salary range for this position is between $140,000 and $190,561, which is competitive within the industry. In addition to the base salary, employees are offered comprehensive health insurance plans that cover medical, dental, and vision care. A robust retirement plan is also provided, which includes employer contributions to 401(k) accounts. Furthermore, opportunities for professional development are available, such as tuition reimbursement for further education or certifications, and access to workshops and seminars conducted by industry experts. These benefits are designed to support the overall well-being and career growth of the employees.

Candidates must have a degree in Data Science, Statistics, or a related field. Experience with Python, R, and SQL is required. Strong problem-solving skills and attention to detail are essential.

What You Will Do:

• Develop and implement data-driven strategies to drive business growth.
• Analyze large datasets to identify trends and insights.
• Build and deploy machine learning models to automate processes and improve decision-making.
• Collaborate with cross-functional teams to translate business needs into data solutions.
• Communicate complex data findings to non-technical stakeholders.
• Continuously improve data processes and systems.

What You Bring:

• A Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field.
• 3+ years of experience in data science, with a strong background in machine learning and statistical modeling.
• Proficiency in programming languages such as Python, R, or SQL.
• Experience with data visualization tools like Tableau or Power BI.
• Strong problem-solving skills and a keen attention to detail.
• A passion for data and a commitment to delivering high-quality results.