Data Scientist

Willow Elite Group; Indianapolis (IN); On-site; USD 120,000 - 177,000; Full time

Benefits offered by this job

Health insurance

Retirement plans with employer match

Professional development opportunities

Job summary

Willow Elite Group seeks a Data Scientist in Indianapolis, IN for a full-time role focused on advanced analytics and data-driven solutions in financial services. You will build predictive models, analyze complex datasets, and collaborate with cross-functional teams to translate business problems into data science solutions.

Requirements include a master's degree in a related field and experience with Python, R, and SQL, plus familiarity with ML algorithms and data visualization tools.

Qualifications

• Master's degree required in a related field.
• 3+ years of experience in data science or ML roles.
• Proficiency in Python, R or SQL and ML algorithms.

Responsibilities

• Develop and implement data-driven strategies to improve business outcomes.
• Analyze complex data sets to identify trends, patterns, and insights.
• Build and maintain predictive models to support decision-making processes.
• Collaborate with cross-functional teams to translate business needs into actionable data solutions.
• Communicate findings and recommendations to stakeholders clearly.

Skills

Python

R

SQL

Machine Learning

Data Visualization

Education

Master's degree in Data Science/Statistics/CS

Bachelor's degree in Data Science/Statistics/Mathematics or related field

Tools

Tableau

Power BI

Job description

Willow Elite Group seeks a Data Scientist in Indianapolis, IN, for a full-time role. You will develop and implement advanced analytics and data-driven solutions in the financial services industry. Your work will support informed decision-making through innovative data science techniques.

Daily, you will analyze complex data sets, build predictive models, and create data visualizations. You will collaborate with cross-functional teams to translate business problems into data science solutions. Your tasks will include data cleaning, feature engineering, and model deployment.

You will work in a collaborative environment with a team of data scientists, engineers, and business analysts. The workplace is in Indianapolis, IN, with opportunities for professional growth and development.

The salary range for this position is between $120,000 and $177,356 per year, with the exact amount depending on factors such as experience, location, and performance.

• In addition to the competitive base salary, employees can enjoy a comprehensive benefits package that includes health insurance, retirement plans, and professional development opportunities.
• The health insurance covers a wide range of medical services, including doctor visits, hospital stays, and prescription medications.
• The retirement plans offer a generous employer match, which can significantly boost an employee's savings over time.
• Professional development opportunities are also abundant, with access to training programs, workshops, and conferences to help employees enhance their skills and advance their careers.

You must have a master's degree in Data Science, Statistics, Computer Science, or a related field. Experience with Python, R, and SQL is required. Knowledge of machine learning algorithms and data visualization tools is essential.

The deadline for submitting applications is set for November 22, 2026. The position remains open until the deadline, allowing ample time for interested individuals to apply.

• Develop and implement data-driven strategies to improve business outcomes.
• Analyze complex data sets to identify trends, patterns, and insights.
• Build and maintain predictive models to support decision-making processes.
• Collaborate with cross-functional teams to translate business needs into actionable data solutions.
• Communicate findings and recommendations to stakeholders in a clear and concise manner.
• Bachelor's degree in Data Science, Statistics, Mathematics, or a related field.
• 3+ years of experience in data science, machine learning, or a similar role.
• Proficiency in programming languages such as Python, R, or SQL.
• Experience with data visualization tools like Tableau or Power BI.
• Strong understanding of statistical methods and machine learning algorithms.