Senior Data Scientist: Predictive AI & Cloud ML Expert

MaziCTools

United States

Remote

USD 100,000 - 140,000

Full time

14 days+

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Benefits offered by this job

Company-paid life insurance
Medical, prescription drugs, dental and vision coverage
401(k) retirement savings plan
Employee stock purchase plan
Paid time off (PTO)
Holidays
Paid parental leave (PPL)
Transportation benefit plan
Employee store discount
Voluntary life and personal accident insurance

Job summary

MaziCTools is looking for a Senior Data Scientist to leverage advanced data science and machine learning techniques to generate insights and support consulting efforts. The role requires a Bachelor’s degree with at least four years of experience in data science or a related field.

Key responsibilities include building predictive models, collaborating with various teams, and communicating findings effectively. The ideal candidate should have expertise in SQL, Python, and experience with cloud computing platforms.

Qualifications

  • Bachelor’s degree with minimum four years in data science or High School/GED with seven years.
  • MS in computer science, statistics, or related field preferred.
  • Experience with large data sets and designing machine learning models.

Responsibilities

  • Build models using machine learning and statistical techniques.
  • Interpret large data sets and develop analytical solutions.
  • Collaborate with teams to define product requirements.

Skills

Machine learning
Statistical modeling
Data visualization
SQL
Python
Predictive modeling
Data mining

Education

Bachelor’s degree or equivalent experience
MS in STEM or related field

Tools

PySpark
TensorFlow
Snowflake
Azure

Job description

MaziCTools is looking for a Senior Data Scientist to leverage advanced data science and machine learning techniques to generate insights and support consulting efforts. The role requires a Bachelor’s degree with at least four years of experience in data science or a related field.

Key responsibilities include building predictive models, collaborating with various teams, and communicating findings effectively. The ideal candidate should have expertise in SQL, Python, and experience with cloud computing platforms.

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