Data Scientist

GetJobSmart; San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

Forge Global Partners in San Francisco, CA seeks a Data Scientist for a full-time role focused on data-driven decision-making. You will analyze complex datasets, build predictive models for market forecasting, and collaborate with teams to implement data solutions using SQL, Python, and Tableau.

The role emphasizes data cleaning, analysis, and visualization with clear stakeholder communication. The workplace emphasizes innovation, collaboration, and continuous learning in a modern, open

Qualifications

• Bachelor's degree in a related field is required.
• Experience with data visualization and business intelligence platforms is a plus.
• Strong communication and data analysis proficiency are essential.
• Experience with financial data is preferred.

Responsibilities

• Analyze complex datasets.
• Build predictive models.
• Collaborate with cross-functional teams.
• Present findings to stakeholders and make data-driven recommendations.
• Develop and implement data solutions.

Skills

Analyze datasets

Predictive modeling

Cross-functional collaboration

Data science fundamentals

Statistical analysis

Machine learning

Financial data experience

Education

Bachelor's degree in a related field

Tools

SQL

Python

Tableau

Job description

Forge Global Partners, a financial services company, seeks a Data Scientist in San Francisco, CA, for a full-time role focused on driving data-driven decision-making.

As a Data Scientist, you'll analyze complex datasets to identify trends, build predictive models for market forecasting, and collaborate with teams to implement data solutions.

Join a dynamic team in San Francisco, CA, in a collaborative environment that values innovation and data-driven insights. This role involves working closely with cross-functional teams to develop and implement data solutions, utilizing tools like SQL, Python, and Tableau. You'll be responsible for data cleaning, analysis, and visualization, presenting findings to stakeholders and making data-driven recommendations. The workplace is modern and open, fostering a culture of continuous learning and professional growth. Requirements include a bachelor's degree in a related field, proficiency in data analysis tools, and strong communication skills. Previous experience with data visualization and business intelligence platforms is a plus.

The pay for this role is discussed at the interview stage, with additional benefits to be confirmed during the hiring process.

You should have a strong background in data science, with expertise in statistical analysis, machine learning, and programming languages such as Python or R. Experience with financial data and a degree in a related field are also preferred.

• Analyze complex datasets
• Build predictive models
• Collaborate with cross-functional teamsStrong background in data science
• Expertise in statistical analysis and machine learning
• Experience with financial data
• Degree in a related field