Senior Data Scientist - Remote ML & Analytics Leader

MaziCTools; United States; Remote; USD 100,000 - 130,000; Full time

Job summary

MaziCTools is seeking a Senior Data Scientist to develop and execute data science and analytics use cases. This role will focus on implementing scalable data analytics and machine learning solutions for critical business opportunities. Responsibilities include guiding junior data scientists, collaborating with stakeholders for impactful insights, and utilizing advanced statistical techniques.

The ideal candidate should have a Master’s degree and at least six years of relevant experience, proficiency in analytics tools like Python and R, and familiarity with big data frameworks.

Qualifications

• Master’s Degree in Statistics, Data Science, Mathematics, Computer Science, or a related field.
• Six or more years of related work experience.
• Advanced analytics tools such as Python, R, SAS, SQL for statistical and machine learning analysis.
• Experience with big data computing frameworks.
• Ability to create repeatable, automated processes and data pipelines.
• Familiarity with cloud technologies for model development and deployment.

Responsibilities

• Identify and prioritize actionable insights across core business fronts.
• Determine analytics techniques for addressing business problems.
• Develop advanced analytics models for predictive and prescriptive use cases.
• Build analytics solutions to drive business goals.
• Mentor junior data scientists and analysts.
• Communicate analytical insights and recommendations effectively.

Skills

Python

R

SAS

SQL

Statistical analysis

Machine learning

Data mining

Education

Master’s Degree in Statistics, Data Science, Mathematics, or related field

Bachelor’s degree with additional two years of experience

Tools

AWS Glue

AWS EMR

AWS SageMaker

Job description

MaziCTools is seeking a Senior Data Scientist to develop and execute data science and analytics use cases. This role will focus on implementing scalable data analytics and machine learning solutions for critical business opportunities. Responsibilities include guiding junior data scientists, collaborating with stakeholders for impactful insights, and utilizing advanced statistical techniques.

The ideal candidate should have a Master’s degree and at least six years of relevant experience, proficiency in analytics tools like Python and R, and familiarity with big data frameworks.