Data Scientist

Quartz Advanced Partners; Cincinnati (OH); On-site; USD 110,000 - 140,000; Full time

Benefits offered by this job

Health insurance

401(k) with company matching

Tuition reimbursement

Online courses/workshops

Job summary

Quartz Advanced Partners in Cincinnati, OH seeks a Data Scientist to analyze complex data sets, build predictive models, and provide actionable insights to guide business decisions. The role requires a Master's degree and several years of data science experience, with strong Python, R, and SQL skills and experience in data visualization.

The company offers a comprehensive benefits package including health insurance, a 401(k) with company matching, and professional development opportunities.

Qualifications

• Master's degree in Data Science, Statistics, or related field.
• 2-4 years of experience in data science or a related role.
• Strong proficiency in Python and R.
• Experience with data visualization tools like Tableau or Power BI.
• Knowledge of machine learning algorithms and techniques.
• Excellent problem-solving skills and attention to detail.

Responsibilities

• Analyze large and complex data sets to identify trends and patterns.
• Develop and implement predictive models to forecast business outcomes.
• Create data visualizations and dashboards to communicate insights effectively.
• Collaborate with cross-functional teams to understand business requirements and translate them into data solutions.
• Optimize data processes and systems to improve efficiency and accuracy.
• Stay up-to-date with the latest advancements in data science and machine learning.

Skills

Python

R

Data analysis

Statistical modeling

Machine learning

Data visualization

Cross-functional collaboration

Education

Master's degree in Data Science/Statistics/related field

Bachelor's degree in Computer Science/Statistics/Mathematics/related field

Tools

Tableau

Power BI

SQL

Job description

Quartz Advanced Partners is currently recruiting for a Data Scientist position in Cincinnati, OH, which is a full-time role. In this capacity, you will be responsible for analyzing intricate data sets, creating predictive models, and delivering actionable insights that will guide strategic business decisions. Your expertise will be crucial in helping the company leverage data to achieve its business objectives. The role requires a strong background in data analysis, statistical modeling, and machine learning. You will work closely with cross-functional teams to understand business needs and translate them into data-driven solutions. The ideal candidate will have a Master's degree in a relevant field and several years of experience in data science. This position offers the opportunity to work in a dynamic and innovative environment, contributing to the company's growth and success.

As a Data Scientist, you will be responsible for analyzing complex data sets, developing predictive models, and providing actionable insights to drive business decisions. You will work closely with cross-functional teams to understand business needs and translate them into data-driven solutions.

Quartz Advanced Partners is a leading financial services firm specializing in investment management and asset servicing. You will be part of a dynamic team in Cincinnati, OH, working in a collaborative and innovative environment.

The annual salary range for this position is between $110,000 and $140,087, providing a competitive compensation package. Employees can expect comprehensive health insurance coverage, including medical, dental, and vision plans, to support their well-being. The company also offers robust retirement plans, such as a 401(k) with company matching, to help employees save for their future. Additionally, professional development opportunities are available, including tuition reimbursement and access to online courses and workshops, to support career growth and advancement.

To be successful in this role, you must have a Master's degree in Data Science, Statistics, or a related field. You should have experience with Python, R, and SQL. Familiarity with machine learning algorithms and data visualization tools is required.

What you will do:

1. Analyze large and complex data sets to identify trends and patterns.
2. Develop and implement predictive models to forecast business outcomes.
3. Create data visualizations and dashboards to communicate insights effectively.
4. Collaborate with cross-functional teams to understand business requirements and translate them into data solutions.
5. Optimize data processes and systems to improve efficiency and accuracy.
6. Stay up-to-date with the latest advancements in data science and machine learning.

What we need:

1. Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
2. 2-4 years of experience in data science or a related role.
3. Strong proficiency in programming languages such as Python and R.
4. Experience with data visualization tools like Tableau or Power BI.
5. Knowledge of machine learning algorithms and techniques.
6. Excellent problem-solving skills and attention to detail.