Senior Data Scientist

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 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.

Mines and analyzes complex and unstructured data sets using advanced statistical methods for use in data driven decision making.

Performs research, analysis, and modeling on organizational data.

Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions.

Provides findings and analysis for use in decision making.

Performs work with a high degree of latitude.

Handles the most complex issues.

Possesses expert knowledge of subject matter.

Provides leadership, coaching, and/or mentoring to subordinate group.

May act as a lead or first-level supervisor

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.

Oral and written communication skills

Problem/situation analysis

Ability to identify and seek needed information/research skills

Analytical thinking skills

Statistical knowledge

Technical expertise

Mathematical skills

Pay Transparency

Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.

Accommodations

Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at applicantaccom@maximus.com .

Minimum Salary

$153,000.00

Maximum Salary

$182,000.00