Data Scientist

Maple Premier Partners; Louisville (KY); Hybrid; USD 160,000 - 244,000; Full time

Benefits offered by this job

Health insurance

Retirement plan with employer matching

Paid time off

Professional development opportunities

Job summary

Maple Premier Partners, a financial services company in Louisville, KY, seeks a Data Scientist to analyze complex datasets and develop predictive models to guide business decisions. Proficiency in Python, R, and SQL is required, with collaboration across a diverse team in Louisville.

The role offers professional growth, mentorship, and exposure to state-of-the-art analytics in a dynamic office setting, with potential remote options. Bachelor’s degree and relevant experience are essential.

Qualifications

• Bachelor's degree in computer science or related field.
• Experience with data analysis and financial data is preferred.
• Strong communication and collaboration skills.

Responsibilities

• Analyze complex datasets to inform business decisions.
• Develop predictive models and ML algorithms.
• Create data-driven insights for stakeholders.
• Collaborate with cross-functional teams.

Skills

Statistical thinking

Data storytelling

Problem solving

Collaboration

Education

Bachelor's degree in Computer Science or related field

Tools

Python

R

SQL

Job description

Maple Premier Partners, a financial services company based in Louisville, KY, is seeking a full-time Data Scientist. This role involves leveraging data to drive business decisions and requires a skilled professional to analyze complex datasets and develop predictive models.

The Data Scientist will analyze datasets, develop models, and create insights. You will identify trends, patterns, and opportunities, translating findings into actionable strategies. Collaboration with a diverse team is essential for this role.

The Data Scientist will work in a collaborative environment with a diverse team in Louisville, KY, where they will be responsible for analyzing complex data sets to inform business decisions. This role involves using various data analysis tools and programming languages such as Python, R, and SQL to extract, transform, and load data. The Data Scientist will also be expected to create and maintain data models, perform statistical analysis, and develop predictive and machine learning algorithms. Additionally, they will work closely with cross-functional teams to understand business requirements and translate them into actionable insights. This role offers opportunities for professional growth and development within a dynamic financial services company, with access to continuous learning resources and mentorship programs. The ideal candidate will have a strong background in data science, with experience in financial data analysis and a degree in a related field.

The annual salary for this position ranges from $160,000 to $244,202, depending on experience and performance. The role involves managing a team of developers, overseeing project timelines, and ensuring the successful delivery of software products. Employees will use a variety of tools, including project management software, version control systems, and collaboration platforms, to streamline workflows and enhance productivity. The workplace is typically an office environment, but remote work options may be available. Candidates should have a bachelor's degree in computer science or a related field, along with several years of experience in software development or project management. Strong communication skills and the ability to work well under pressure are also essential. Benefits may include comprehensive health insurance, a retirement plan with employer matching contributions, and other standard employee benefits such as paid time off and professional development opportunities.

To excel in this role, you must have a strong background in data science, with experience in statistical analysis, machine learning, and data visualization. Proficiency in Python or R, and database management, is required. Strong communication skills are essential for presenting findings to stakeholders.

• Analyze complex datasets
• develop predictive models
• create data-driven insights
• identify trends
• patterns
• and opportunities
• translate findings into actionable strategiesStrong background in data science
• experience in statistical analysis
• machine learning
• and data visualization
• proficiency in programming languages such as Python or R
• solid understanding of database management
• strong communication skills