Senior Data Scientist - Remote | ML & Analytics Lead

MAXIMUS; San Diego (CA); Remote; USD 153,000 - 182,000; Full time

Job summary

MAXIMUS is seeking a senior data analytics professional to interpret results using a spectrum of methods from basic analytics to advanced data mining and pattern recognition. You will select features, build and refine classifiers, and serve as a SME, guiding analysts and stakeholders in analytical decisions.

You will lead efforts on identifying suitable decision-tech techniques, expanding data collection, and keeping models and systems up to date with emerging tech, while driving strategic

Qualifications

• 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 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.

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.
• Utilize appropriate statistical analysis and quantitative methods to thoroughly examine data, forecast future trends, and account for variability.
• 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
• 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

Communication skills

Empirical research

Leadership

Requirements gathering

ROI evaluation

Vendor evaluation

Problem solving

Education

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

Tools

SQL

Relational databases

Cloud computing tools

Data visualization tools

Job description

MAXIMUS is seeking a senior data analytics professional to interpret results using a spectrum of methods from basic analytics to advanced data mining and pattern recognition. You will select features, build and refine classifiers, and serve as a SME, guiding analysts and stakeholders in analytical decisions.

You will lead efforts on identifying suitable decision-tech techniques, expanding data collection, and keeping models and systems up to date with emerging tech, while driving strategic