Senior Data Scientist - Remote & ML Lead

MAXIMUS; Lebanon (NH); Remoto; USD 153.000 - 182.000; Tempo pieno

Descrizione del lavoro

MAXIMUS is seeking a seasoned data analytics professional to interpret results, build predictive models, and guide stakeholders across the enterprise. You will lead analytics projects, refine data collection, and implement scalable anomaly detection and ML solutions to improve decision making.

The ideal candidate has a strong background in statistics, ML techniques, and SQL, with experience communicating complex findings to business users.

Competenze

• Bachelor's degree or equivalent plus 7+ years in data analysis/science with data-driven decision making.
• Excellent understanding of machine learning techniques and algorithms.
• Experience with data visualization tools and SQL in relational databases.

Mansioni

• Expertly interpret results using a range of techniques from data aggregation to advanced data mining.
• Select features and construct classifiers using cutting-edge ML techniques.
• Act as SME in data and analytics, guiding peers and stakeholders.
• Identify suitable decision technology techniques for analytical frameworks.
• Use statistical methods to forecast trends and maintain reliable predictions.
• Expand data collection procedures for robust analytical systems.
• Develop automated anomaly detection and monitor model performance.
• Lead project management and team communication to ensure timely execution.
• Stay abreast of emerging technologies and drive growth of team expertise.
• Drive execution of MAXIMUS strategic areas of interest.

Conoscenze

ML techniques

SQL

Data visualization

Statistics

Leadership

Communication skills

Empirical research

Formazione

Bachelor's Degree or equivalent in a related field

MS or PhD in Statistics, Mathematics, OR Operations Research, Computer Science

Strumenti

Data science toolkits

Distributed / cloud computing tools

Descrizione del lavoro

MAXIMUS is seeking a seasoned data analytics professional to interpret results, build predictive models, and guide stakeholders across the enterprise. You will lead analytics projects, refine data collection, and implement scalable anomaly detection and ML solutions to improve decision making.

The ideal candidate has a strong background in statistics, ML techniques, and SQL, with experience communicating complex findings to business users.