The Principal Data Scientist is a senior technical leader responsible for designing advanced analytics solutions developing machine learning models and guiding data-driven strategies across the organization. This role combines deep technical expertise with strategic thinking to solve complex business problems using data.
The Principal Data Scientist collaborates closely with engineering product analytics and leadership teams to build scalable data science solutions and drive innovation in artificial intelligence and predictive analytics.
This role also provides technical leadership and mentorship to data scientists and analysts while shaping the organizations long-term data strategy.
This is a fully remote position; however applicants must currently reside in the United States and be legally authorized to work in the U.S. Applications from individuals residing outside the United States will not be considered.
Key Responsibilities
-
Design and implement advanced machine learning and statistical models to solve complex business problems
-
Lead large-scale data science initiatives and cross-functional analytical projects
-
Develop predictive models recommendation systems and optimization algorithms
-
Work closely with engineering teams to deploy models into production environments
-
Analyze large complex datasets to extract meaningful insights and business value
-
Define best practices for model development validation and monitoring
-
Guide experimentation frameworks and A/B testing strategies
-
Mentor and provide technical leadership to data scientists and analysts
-
Communicate complex technical findings to executive stakeholders
-
Stay current with emerging trends in AI machine learning and data science
Required Qualifications
-
Masters or PhD in Data Science Computer Science Statistics Mathematics or a related quantitative field
-
812 years of experience in data science machine learning or advanced analytics
-
Strong programming skills in Python R or similar data science languages
-
Experience with machine learning frameworks such as TensorFlow PyTorch or Scikit-learn
-
Advanced knowledge of statistical modeling predictive analytics and machine learning techniques
-
Experience with big data technologies such as Apache Spark or Hadoop
-
Strong experience with SQL and large-scale data analysis
-
Proven ability to translate business challenges into data science solutions
Preferred Qualifications
-
Experience deploying models in cloud environments such as Amazon Web Services Google Cloud Platform or Microsoft Azure
-
Experience leading data science teams or technical initiatives
-
Background in building recommendation engines NLP systems or forecasting models
-
Experience with MLOps tools and model deployment pipelines
-
Strong experience with data visualization tools such as Tableau or Microsoft Power BI
-
Experience in industries such as technology finance healthcare or e-commerce
Compensation
Benefits
Eligible employees may receive the following benefits:
-
Comprehensive medical dental and vision insurance
-
401(k) retirement plan with employer matching
-
Paid time off (PTO) including vacation holidays and sick leave
-
Life insurance and disability coverage
-
Flexible remote work environment
-
Professional development and AI/ML conference sponsorships
-
Employee wellness and assistance programs
-
Potential equity or stock option grants
Work Authorization Requirement
Applicants must meet the following requirements:
-
Must currently reside in the United States
-
Must be legally authorized to work in the United States
-
Applications from individuals residing outside the U.S. will not be considered
The Principal Data Scientist is a senior technical leader responsible for designing advanced analytics solutions developing machine learning models and guiding data-driven strategies across the organization. This role combines deep technical expertise with strategic thinking to solve complex busines...
The Principal Data Scientist is a senior technical leader responsible for designing advanced analytics solutions developing machine learning models and guiding data-driven strategies across the organization. This role combines deep technical expertise with strategic thinking to solve complex business problems using data.
The Principal Data Scientist collaborates closely with engineering product analytics and leadership teams to build scalable data science solutions and drive innovation in artificial intelligence and predictive analytics.
This role also provides technical leadership and mentorship to data scientists and analysts while shaping the organizations long-term data strategy.
This is a fully remote position; however applicants must currently reside in the United States and be legally authorized to work in the U.S. Applications from individuals residing outside the United States will not be considered.
Key Responsibilities
-
Design and implement advanced machine learning and statistical models to solve complex business problems
-
Lead large-scale data science initiatives and cross-functional analytical projects
-
Develop predictive models recommendation systems and optimization algorithms
-
Work closely with engineering teams to deploy models into production environments
-
Analyze large complex datasets to extract meaningful insights and business value
-
Define best practices for model development validation and monitoring
-
Guide experimentation frameworks and A/B testing strategies
-
Mentor and provide technical leadership to data scientists and analysts
-
Communicate complex technical findings to executive stakeholders
-
Stay current with emerging trends in AI machine learning and data science
Required Qualifications
-
Masters or PhD in Data Science Computer Science Statistics Mathematics or a related quantitative field
-
812 years of experience in data science machine learning or advanced analytics
-
Strong programming skills in Python R or similar data science languages
-
Experience with machine learning frameworks such as TensorFlow PyTorch or Scikit-learn
-
Advanced knowledge of statistical modeling predictive analytics and machine learning techniques
-
Experience with big data technologies such as Apache Spark or Hadoop
-
Strong experience with SQL and large-scale data analysis
-
Proven ability to translate business challenges into data science solutions
Preferred Qualifications
-
Experience deploying models in cloud environments such as Amazon Web Services Google Cloud Platform or Microsoft Azure
-
Experience leading data science teams or technical initiatives
-
Background in building recommendation engines NLP systems or forecasting models
-
Experience with MLOps tools and model deployment pipelines
-
Strong experience with data visualization tools such as Tableau or Microsoft Power BI
-
Experience in industries such as technology finance healthcare or e-commerce
Compensation
Benefits
Eligible employees may receive the following benefits:
-
Comprehensive medical dental and vision insurance
-
401(k) retirement plan with employer matching
-
Paid time off (PTO) including vacation holidays and sick leave
-
Life insurance and disability coverage
-
Flexible remote work environment
-
Professional development and AI/ML conference sponsorships
-
Employee wellness and assistance programs
-
Potential equity or stock option grants
Work Authorization Requirement
Applicants must meet the following requirements:
-
Must currently reside in the United States
-
Must be legally authorized to work in the United States
-
Applications from individuals residing outside the U.S. will not be considered
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