Senior Data Scientist (Remote)

MAXIMUS; Wilmington (DE); Teletrabalho; USD 153 000 - 182 000; Tempo integral

Resumo da oferta

MAXIMUS is seeking a senior data & analytics professional in the Wilmington, DE area to lead advanced data analysis, model development, and decision-analytic work. You will guide analysts and stakeholders, apply ML and statistical methods, and help shape data-driven strategies for health care programs and operations.

The role emphasizes independent work, strong communication, and collaboration within cross-functional teams, with opportunities to influence priority projects and performance

Qualificações

• Bachelor's Degree or equivalent experience and 7+ years
• BS, MS (preferred), or PhD in Statistics, Mathematics, Operations Research, Computer Science, ML or related field
• 7+ years of data analysis/science experience with data-driven decision making
• Strong understanding of ML techniques e.g., k-NN, Naive Bayes, SVM, Decision Trees
• Experience with common data science toolkits and data visualization tools
• Advanced applied statistics skills (distributions, tests, regression)
• Strong SQL and relational DB skills
• Experience with large datasets and distributed/cloud computing tools a plus
• Ability to work independently or in teams; excellent written/oral communication
• Leadership in prioritizing projects and evaluating data solutions
• Experience with business users requirements docs and ROI evaluation
• Experience with government health care programs desirable

Responsabilidades

• Interpret results using data aggregation, statistics, and data mining to identify patterns
• Select features and build classifiers using ML techniques for improved performance
• Act as SME in data and analytics for peers and stakeholders
• Identify suitable decision technologies (optimization, simulation, regression, trees, neural networks, clustering)
• Forecast trends using quantitative methods and maintain reliable predictions
• Expand data collection procedures for robust analytics systems
• Develop automated anomaly detection and monitor model performance
• Lead project management and facilitate team communication and strategy
• Stay updated on emerging technologies relevant to MAXIMUS initiatives
• Drive execution of additional MAXIMUS strategic areas

Conhecimentos

Statistical analysis

Machine learning

SQL proficiency

Data visualization

Distributed/cloud computing experience

Excellent communication

Independent work / team collaboration

Leadership in prioritizing projects

Formação académica

Bachelor's degree or equivalent experience

MS or PhD in related field (preferred)

Statistics/Math/OR/CS - ML or related field

Ferramentas

Python

R

SAS

TensorFlow

Spark

Descrição da oferta de emprego

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 documentationExperience with solution/vendor evaluation and evaluating product ROI
• Experience with government sponsored health care programs and operations desirable.

#MaxHP #maxcleared

EEO Statement

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.

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

[e-mail].

Minimum Salary

$153,000.00

Maximum Salary

$182,000.00