Senior Data Scientist (Remote)

Maximus; Topeka (KS); Remote; USD 153,000 - 182,000; Full time

Benefits offered by this job

Health Insurance

401(k) with company match

Paid time off

HSA, disability coverage

Tuition reimbursement

Employee discounts

Wellness programs

EAP

Career development

Job summary

Maximus is seeking a senior data science professional in the United States to expertly interpret results across basic to advanced analytics, build robust classifiers, and act as a SME for stakeholders. You will identify suitable decision-technology tools and lead cross-functional projects to deliver data-driven insights on health-care programs.

The role emphasizes independent work, strong communication, and staying current with emerging technologies, including expanding data collection and

Qualifications

• BS, MS (preferred), or PhD in Statistics, Mathematics, Operations Research, Computer Science, Machine Learning or a related field.
• 7+ years of relevant professional experience in data analysis/science with heavy emphasis on data-driven decision making.
• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Trees, etc.
• Experience with common data science toolkits. Excellence in multiple of these is highly desirable
• Experience with data visualization tools
• Advanced applied statistics skills, such as distributions, statistical testing, regression, etc.
• Highly skilled in using query languages such as SQL and expert use of relational databases and SQL
• Experience working with large data sets, experience working with (not architecture design of) distributed or cloud computing tools a plus
• Ability to work independently with minimal supervision or work cooperatively in a technical team as required.
• Must possess superior oral and written communication skills.
• A strong passion for empirical research and for answering complex questions with data.
• Leadership in prioritizing projects and evaluating data analysis solutions
• Experience working directly with business users and requirements documentation
• Experience with solution/vendor evaluation and evaluating product ROI
• Experience with government sponsored health care programs and operations desirable.

Responsibilities

• Interpret results using a range of techniques, from basic data aggregation and statistical analysis to advanced data mining and pattern recognition.
• Select crucial features, construct, and refine classifiers using cutting-edge machine learning techniques for enhanced performance
• Act as a subject matter expert (SME) in data and analytics, providing guidance and expertise to peer analysts and operational stakeholders.
• Identify the most suitable decision technology techniques to apply within various analytical frameworks. Examples of decision technology tools that may be employed include optimization, simulation, regression, decision trees, neural networks, cluster analysis, mixed models, and more.
• Utilize appropriate statistical analysis and quantitative methods to thoroughly examine data, forecast future trends, and account for variability, particularly in generating and maintaining reliable predictions
• Expand and refine MAXIMUS data collection procedures to encompass information crucial for building robust analytical systems.
• Develop automated anomaly detection systems and consistently monitor model performance for continuous improvement.
• Lead project management activities and facilitate team communication and strategy implementation (meetings, etc.) to ensure timely and efficient execution.
• Stay abreast of emerging technologies and systems relevant to MAXIMUS initiatives, ensuring the continuous growth of the team's expertise.
• Drive the execution of additional MAXIMUS areas of strategic interest, further enhancing the organization's capabilities and impact.

Skills

Machine learning techniques

SQL

Data visualization

Statistics

Data analysis

Communication skills

Leadership

Education

BS/MS/PhD in Statistics/Mathematics/OR/CS/ML

MS preferred

Tools

Python

R

Spark

Job description

Why Maximus?

• Flexibility That Fits Your Life - Work/life balance support with flexibility designed to meet your personal and professional needs.

• Robust Health & Insurance Benefits - Choose from a variety of Medical, Dental, Vision, and Prescription plans, plus a partially funded HSA. You’ll also have access to Life Insurance and discounts on Auto, Home, Renters, and Pet Insurance.

• Build Your Financial Future - Take advantage of our 401(k) Retirement Savings Plan with Company Match to help you plan for what's ahead.

• Generous Time Away From Work - Recharge with PTO, paid holidays, extended sick leave, and Short and Long Term Disability coverage.

• Wellness Beyond the Workplace - Access resources that support your physical, emotional, and financial well-being through our Employee Assistance Program (EAP).

• Recognition That Matters - Celebrate achievements and recognize colleagues through our employee recognition platform.

• Invest in Your Growth - Continue your education and professional development with Tuition Reimbursement opportunities.

• Employee Discounts & Perks - Enjoy exclusive savings, special offers, and additional employee-only benefits.

• Wellness Programs & Resources - Explore a variety of programs and tools designed to support your overall health and wellness.

• Career Development Opportunities - Enhance your skills through training programs, workshops, conferences, and ongoing learning opportunities.

• Licensure & Certification Support - Maximus covers the costs associated with renewing required licenses and certifications.

Essential Duties and Responsibilities:

• Expertly interpret results using a range of techniques, from basic data aggregation and statistical analysis to advanced data mining and pattern recognition.

• Select crucial features, construct, and refine classifiers using cutting-edge machine learning techniques for enhanced performance

• Act as a subject matter expert (SME) in data and analytics, providing guidance and expertise to peer analysts and operational stakeholders.

• Identify the most suitable decision technology techniques to apply within various analytical frameworks. Examples of decision technology tools that may be employed include optimization, simulation, regression, decision trees, neural networks, cluster analysis, mixed models, and more.

• Utilize appropriate statistical analysis and quantitative methods to thoroughly examine data, forecast future trends, and account for variability, particularly in generating and maintaining reliable predictions

• Expand and refine MAXIMUS data collection procedures to encompass information crucial for building robust analytical systems.

• Develop automated anomaly detection systems and consistently monitor model performance for continuous improvement.

• Lead project management activities and facilitate team communication and strategy implementation (meetings, etc.) to ensure timely and efficient execution.

• Stay abreast of emerging technologies and systems relevant to MAXIMUS initiatives, ensuring the continuous growth of the team's expertise.

• Drive the execution of additional MAXIMUS areas of strategic interest, further enhancing the organization's capabilities and impact.

Minimum Requirements

'- Bachelor's Degree or equivalent experience and 7+ Years

• BS, MS (preferred), or PhD in Statistics, Mathematics, Operations Research, Computer Science, - Machine Learning or a related field.

• 7+ years of relevant professional experience in data analysis/science with heavy emphasis on data-driven decision making.

• Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Trees, etc.

• Experience with common data science toolkits. Excellence in multiple of these is highly desirable

• Experience with data visualization tools

• Advanced applied statistics skills, such as distributions, statistical testing, regression, etc.

• Highly skilled in using query languages such as SQL and expert use of relational databases and SQL

• Experience working with large data sets, experience working with (not architecture design of) distributed or cloud computing tools a plus

• Ability to work independently with minimal supervision or work cooperatively in a technical team as required.

• Must possess superior oral and written communication skills.

• A strong passion for empirical research and for answering complex questions with data.

• Leadership in prioritizing projects and evaluating data analysis solutions

• Experience working directly with business users and requirements documentation

• Experience with solution/vendor evaluation and evaluating product ROI

• Experience with government sponsored health care programs and operations desirable.

#MaxHP #maxcleared #SPC26

Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.

Minimum Salary

$153,000

Maximum Salary

$182,000