Data Scientist

Trinity North Inc.; Los Angeles (CA); On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

Health insurance

Retirement plan (401(k) or pension)

Job summary

Trinity North Inc. in Los Angeles, CA is seeking a Data Scientist to develop data-driven strategies and ML models to optimize logistics and supply chain operations. You will analyze large datasets, build predictive models and collaborate with cross-functional teams to deliver actionable insights.

The role emphasizes communication, teamwork and ongoing learning, with a negotiable salary and benefits including health insurance and retirement plans.

Qualifications

• Master's degree in data science, statistics or related field required.
• 3-5 years of experience in data science or related field.
• Proficiency in Python, R and SQL.
• Experience with data visualization tools like Tableau or Power BI.
• Knowledge of ML algorithms and statistical modeling.
• Experience with big data technologies (Hadoop/Spark/AWS).
• Excellent communication and interpersonal skills.

Responsibilities

• Develop data-driven strategies to optimize logistics and supply chain ops.
• Analyze large datasets to identify trends and insights for decisions.
• Build and deploy ML models to predict demand and optimize routes.
• Collaborate with cross-functional teams to translate requirements into solutions.
• Create data visualizations and reports for stakeholders.
• Stay updated with data science trends and technologies.
• Mentor junior team members on data science best practices.
• Participate in continuous improvement of data-driven decisions.

Skills

Python

R

SQL

Machine learning

Statistics

Data visualization

Communication

Teamwork

Big Data

Hadoop

Spark

AWS

Education

Master's degree in Data Science, Statistics, or related field

Bachelor's degree in Computer Science, Statistics, Mathematics, or related field

Tools

Tableau

Power BI

Matplotlib

Hadoop

Spark

AWS

Job description

Trinity North Inc., a leading logistics and supply chain management company, seeks a Data Scientist in Los Angeles, CA, FULL_TIME position. Your expertise in data analysis and machine learning will drive strategic decisions and optimize operations.

You will be responsible for developing and implementing data-driven solutions, collaborating closely with cross-functional teams to ensure alignment and effectiveness. Your insights will directly contribute to improving operational efficiency, reducing costs, and enhancing customer satisfaction. By leveraging data analytics and advanced technologies, you will identify opportunities for optimization and innovation, driving measurable improvements in business performance. Your work will not only streamline processes but also foster a culture of continuous improvement, ultimately leading to a more competitive and customer-centric organization.

You will join a collaborative team in Los Angeles, CA, with opportunities for professional growth. The workplace is dynamic and fosters innovation.

The salary is negotiable, allowing for a discussion and agreement on the final amount. Benefits include competitive compensation, which ensures that the salary is fair and in line with industry standards. Health insurance is provided, offering coverage for medical expenses, ensuring that the employee has access to necessary healthcare services. Additionally, retirement plans are available, which may include options like a 401(k) or pension plan, providing financial security for the employee's future.

You must have a Master's degree in Data Science, Statistics, or related field. Experience with Python, R, and SQL is required. Knowledge of machine learning algorithms and statistical modeling is essential.

The deadline for submitting your application to Trinity North Inc. is November 23, 2026.

Responsibilities:

• Develop and implement data-driven strategies to optimize logistics and supply chain operations.
• Analyze large datasets to identify trends, patterns, and insights that drive business decisions.
• Build and deploy machine learning models to predict demand, optimize routes, and improve inventory management.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Create data visualizations and reports to communicate findings to stakeholders.
• Stay up-to-date with the latest industry trends and technologies in data science and machine learning.
• Mentor and coach junior team members on data science best practices.
• Participate in continuous improvement initiatives to enhance data-driven decision-making processes.

Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• 3-5 years of experience in data science, machine learning, or a related field.
• Proficiency in programming languages such as Python, R, or SQL.
• Experience with data visualization tools like Tableau, Power BI, or Matplotlib.
• Strong understanding of statistical methods and machine learning algorithms.
• Experience with big data technologies such as Hadoop, Spark, or AWS.
• Excellent communication and interpersonal skills.
• Ability to work independently and as part of a team.