Principal Data Scientist
Location
United States
Posted
7 days ago
Salary
Not specified
Job Description
Role Description
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.
This role also provides technical leadership and mentorship to data scientists and analysts while shaping the organization's 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.
- 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
Qualifications
- Masters or PhD in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field
- 8–12+ 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
- Annual Salary Range: $160,000 – $210,000 USD, depending on experience, technical expertise
- Additional compensation may include performance bonuses, equity, or stock options
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
- 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
Job Requirements
- Masters or PhD in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field
- 8–12+ 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
- Annual Salary Range: $160,000 – $210,000 USD, depending on experience, technical expertise
- Additional compensation may include performance bonuses, equity, or stock options
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
- 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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