Data Scientist

Sterling South Partners; Los Angeles (CA); Presencial; USD 140.000 - 190.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Descripción de la vacante

Sterling South Partners in Los Angeles, CA seeks a Data Scientist to analyze large datasets, build predictive models, and deliver data-driven insights that drive strategic decisions in a dynamic financial services environment.

You will collaborate with the data team to understand business needs, develop scalable data solutions, and communicate results through dashboards and visualizations. Mastery of ML techniques and strong programming skills are required.

Formación

• Master's degree in Data Science, Computer Science, or a related field.
• Experience with Python, R, and SQL is required.
• Familiarity with machine learning algorithms and statistical analysis is essential.

Responsabilidades

• Analyze large datasets to identify trends, patterns, and insights.
• Develop and implement machine learning models to predict outcomes and solve business problems.
• Create data visualizations and dashboards to communicate findings effectively.
• Collaborate with cross-functional teams to understand business needs and translate them into data solutions.
• Optimize existing data processes and systems to improve efficiency and accuracy.
• Stay up-to-date with the latest advancements in data science and machine learning.

Educación

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

Herramientas

Python

R

SQL

Tableau

Power BI

Descripción del empleo

Sterling South Partners, a financial services firm, seeks a Data Scientist in Los Angeles, CA. This full-time role involves leveraging data to drive strategic decisions and enhance services.

The Data Scientist will collaborate with the data team to analyze complex datasets, develop predictive models, and generate data-driven insights. These efforts will help understand market trends, improve products, and deliver value to clients.

You’ll work in the data team at Sterling South Partners' office in Los Angeles, CA. The workplace is in a dynamic financial environment with opportunities for professional growth.

The salary range for this role is $140,000 to $189,795, reflecting a competitive compensation package that acknowledges the responsibilities and expertise required. Employees can expect comprehensive health insurance coverage, including medical, dental, and vision benefits, to support their well-being. The company also offers robust retirement plans, such as a 401(k) with a generous employer match, to help employees save for their future. Additionally, professional development opportunities are provided, allowing individuals to enhance their skills and advance their careers within the organization.

Candidates should have a Master's degree in Data Science, Computer Science, or a related field. Experience with Python, R, and SQL is required. Familiarity with machine learning algorithms and statistical analysis is essential.

What You Will Do:

• Analyze large datasets to identify trends, patterns, and insights.
• Develop and implement machine learning models to predict outcomes and solve business problems.
• Create data visualizations and dashboards to communicate findings effectively.
• Collaborate with cross-functional teams to understand business needs and translate them into data solutions.
• Optimize existing data processes and systems to improve efficiency and accuracy.
• Stay up-to-date with the latest advancements in data science and machine learning.

What You Bring:

• A Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field.
• Proven experience as a Data Scientist or similar role, with a strong portfolio of projects.
• Proficiency in programming languages such as Python or R.
• Experience with data visualization tools like Tableau or Power BI.
• Strong understanding of statistical methods and machine learning algorithms.
• Excellent communication and collaboration skills, with the ability to work independently and as part of a team.