TEAM International
This range is provided by TEAM International. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range $65.00/hr - $75.00/hr
Direct message the job poster from TEAM International
US Citizens or Green Card holders only (W2 candidates only)!
Data Science & Analytics
San Diego, CA – Hybrid-3 days a week a candidate will be working onsite!
Role Type:
Full-Time Contract (6 Months)
Job Description
As a Senior Data Scientist specializing in Experimentation & Analytics, you will serve as a strategic analytical partner to senior leadership, translating complex data into compelling narratives that directly influence business strategy and decision-making. This role sits at the intersection of advanced statistics, business strategy, and product innovation—requiring you to design sophisticated experiments, apply causal inference methods, and deliver actionable insights that drive customer satisfaction, operational readiness, and revenue outcomes.
Your day-to-day will involve leading A/B testing and experimental design initiatives, applying Bayesian methods and causal modeling to uncover insights, and partnering with business operations, product, and engineering teams to evaluate program performance. You\'ll work closely with data engineering to ensure scalable, trustworthy data infrastructure supports your analyses, while collaborating with fellow data scientists in a highly innovative environment where your work directly shapes customer experiences and business results.
This role exists to bring analytical excellence and experimental rigor to critical business decisions, ensuring that product launches, operational changes, and customer experience improvements are grounded in statistical evidence and measurable impact. You\'ll report to data science leadership while working autonomously to define success metrics, establish measurement frameworks, and mentor junior analysts. The ideal candidate is passionate about applying advanced statistical methods to real-world business problems, thrives in fast-paced environments with multiple concurrent projects, and sees opportunities for innovation rather than just responding to assigned tasks.
Duties and Responsibilities
Lead the design, execution, and interpretation of A/B tests and experimental methodologies to evaluate program and product performance
Apply advanced statistical techniques including Bayesian methods and causal inference to improve customer experience and reduce friction in assisted service flows
Perform business analysis using statistical analysis, explanatory and predictive modeling, and data mining to drive measurable revenue outcomes
Partner with cross-functional leaders to define success metrics and establish robust measurement frameworks ensuring clear outcome tracking
Develop data-driven narratives and actionable insights that inform senior leadership strategy and guide business decision-making
Collaborate with data engineering teams to guide development and maintenance of reliable data marts enabling scalable, trustworthy analysis
Determine best practices and deliver recommendations for current business operations based on analytical findings
Work directly with internal clients to identify analytical requirements and translate business questions into rigorous statistical frameworks
Produce ad hoc data analysis and reports supporting time-sensitive business needs and strategic initiatives
Mentor and guide less experienced data analysts and scientists, fostering a culture of analytical excellence and continuous learning
Manage multiple concurrent projects in a fast-paced environment while maintaining high standards for statistical rigor and communication clarity
Required Experience/Skills
8+ years of experience in data science, analytics, or related analytical field with proven track record of business impact
Demonstrated expertise in experimental design including A/B testing, multivariate testing, and causal inference methodologies
Advanced statistical knowledge including Bayesian methods, hypothesis testing, and causal modeling techniques
Proven ability to extract insights from complex data and communicate compelling data-driven stories that influence executive decision-making
Excellent SQL skills for data extraction, manipulation, and pipeline development across large-scale datasets
Expert proficiency in data visualization tools (Tableau, Qlik) to create clear, impactful presentations for technical and non-technical audiences
Strong problem-solving and end-to-end quantitative thinking skills with ability to frame ambiguous business problems analytically
Experience establishing measurement frameworks and defining success metrics aligned with business objectives
Ability to manage multiple projects simultaneously while maintaining attention to detail and analytical rigor
Excellent communication skills with ability to translate technical concepts for cross-functional stakeholders and senior leadership
Collaborative mindset with experience partnering across business operations, product, and engineering teams
Passion for mentorship and developing analytical talent within teams
Nice-to-Haves
Proficiency in Python or R for advanced analytics, statistical modeling, and workflow automation
Experience with big data platforms and tools such as Snowflake, Spark, or Databricks for large-scale data processing
Machine learning experience including predictive modeling, classification, and regression techniques
Familiarity with Generative AI applications and emerging AI/ML technologies in business contexts
Experience in fintech, financial services, or tax/accounting software environments
Background working in fast-paced innovation-focused teams where experimentation drives culture and product development
Knowledge of data engineering principles and experience collaborating on data infrastructure design
Experience implementing or developing systems to capture business operation information
Previous work in customer journey analytics, conversion optimization, or revenue analytics for consumer or small business products
Education
Bachelor\'s degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field required
Master\'s degree or PhD in Statistics, Data Science, Econometrics, or related quantitative discipline strongly preferred
Equivalent professional experience with demonstrated mastery of advanced statistical methods may be considered
Pay & Benefits Summary
Hybrid work flexibility with mix of on-site collaboration in San Diego and remote work options
Opportunity to work on high-impact projects directly influencing customer experience and revenue outcomes for millions of users
Collaborative environment working alongside talented data scientists, analysts, and cross-functional partners in a culture of innovation
Exposure to senior leadership with opportunity to influence strategic business decisions through analytical insights
Access to cutting-edge data platforms and tools including Snowflake, Tableau, and big data technologies
Professional development through mentorship opportunities and work on innovative experimentation methodologies
Work with a mission-driven company focused on powering prosperity and improving financial outcomes for customers worldwide
Seniority level
Mid-Senior level
Employment type
Contract
Job function
Engineering and Information Technology
Industries
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Base pay range $65.00/hr - $75.00/hr
Direct message the job poster from TEAM International
US Citizens or Green Card holders only (W2 candidates only)!
Data Science & Analytics
San Diego, CA – Hybrid-3 days a week a candidate will be working onsite!
Role Type:
Full-Time Contract (6 Months)
Job Description
As a Senior Data Scientist specializing in Experimentation & Analytics, you will serve as a strategic analytical partner to senior leadership, translating complex data into compelling narratives that directly influence business strategy and decision-making. This role sits at the intersection of advanced statistics, business strategy, and product innovation—requiring you to design sophisticated experiments, apply causal inference methods, and deliver actionable insights that drive customer satisfaction, operational readiness, and revenue outcomes.
Your day-to-day will involve leading A/B testing and experimental design initiatives, applying Bayesian methods and causal modeling to uncover insights, and partnering with business operations, product, and engineering teams to evaluate program performance. You\'ll work closely with data engineering to ensure scalable, trustworthy data infrastructure supports your analyses, while collaborating with fellow data scientists in a highly innovative environment where your work directly shapes customer experiences and business results.
This role exists to bring analytical excellence and experimental rigor to critical business decisions, ensuring that product launches, operational changes, and customer experience improvements are grounded in statistical evidence and measurable impact. You\'ll report to data science leadership while working autonomously to define success metrics, establish measurement frameworks, and mentor junior analysts. The ideal candidate is passionate about applying advanced statistical methods to real-world business problems, thrives in fast-paced environments with multiple concurrent projects, and sees opportunities for innovation rather than just responding to assigned tasks.
Duties and Responsibilities
Lead the design, execution, and interpretation of A/B tests and experimental methodologies to evaluate program and product performance
Apply advanced statistical techniques including Bayesian methods and causal inference to improve customer experience and reduce friction in assisted service flows
Perform business analysis using statistical analysis, explanatory and predictive modeling, and data mining to drive measurable revenue outcomes
Partner with cross-functional leaders to define success metrics and establish robust measurement frameworks ensuring clear outcome tracking
Develop data-driven narratives and actionable insights that inform senior leadership strategy and guide business decision-making
Collaborate with data engineering teams to guide development and maintenance of reliable data marts enabling scalable, trustworthy analysis
Determine best practices and deliver recommendations for current business operations based on analytical findings
Work directly with internal clients to identify analytical requirements and translate business questions into rigorous statistical frameworks
Produce ad hoc data analysis and reports supporting time-sensitive business needs and strategic initiatives
Mentor and guide less experienced data analysts and scientists, fostering a culture of analytical excellence and continuous learning
Manage multiple concurrent projects in a fast-paced environment while maintaining high standards for statistical rigor and communication clarity
Required Experience/Skills
8+ years of experience in data science, analytics, or related analytical field with proven track record of business impact
Demonstrated expertise in experimental design including A/B testing, multivariate testing, and causal inference methodologies
Advanced statistical knowledge including Bayesian methods, hypothesis testing, and causal modeling techniques
Proven ability to extract insights from complex data and communicate compelling data-driven stories that influence executive decision-making
Excellent SQL skills for data extraction, manipulation, and pipeline development across large-scale datasets
Expert proficiency in data visualization tools (Tableau, Qlik) to create clear, impactful presentations for technical and non-technical audiences
Strong problem-solving and end-to-end quantitative thinking skills with ability to frame ambiguous business problems analytically
Experience establishing measurement frameworks and defining success metrics aligned with business objectives
Ability to manage multiple projects simultaneously while maintaining attention to detail and analytical rigor
Excellent communication skills with ability to translate technical concepts for cross-functional stakeholders and senior leadership
Collaborative mindset with experience partnering across business operations, product, and engineering teams
Passion for mentorship and developing analytical talent within teams
Nice-to-Haves
Proficiency in Python or R for advanced analytics, statistical modeling, and workflow automation
Experience with big data platforms and tools such as Snowflake, Spark, or Databricks for large-scale data processing
Machine learning experience including predictive modeling, classification, and regression techniques
Familiarity with Generative AI applications and emerging AI/ML technologies in business contexts
Experience in fintech, financial services, or tax/accounting software environments
Background working in fast-paced innovation-focused teams where experimentation drives culture and product development
Knowledge of data engineering principles and experience collaborating on data infrastructure design
Experience implementing or developing systems to capture business operation information
Previous work in customer journey analytics, conversion optimization, or revenue analytics for consumer or small business products
Education
Bachelor\'s degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field required
Master\'s degree or PhD in Statistics, Data Science, Econometrics, or related quantitative discipline strongly preferred
Equivalent professional experience with demonstrated mastery of advanced statistical methods may be considered
Pay & Benefits Summary
Hybrid work flexibility with mix of on-site collaboration in San Diego and remote work options
Opportunity to work on high-impact projects directly influencing customer experience and revenue outcomes for millions of users
Collaborative environment working alongside talented data scientists, analysts, and cross-functional partners in a culture of innovation
Exposure to senior leadership with opportunity to influence strategic business decisions through analytical insights
Access to cutting-edge data platforms and tools including Snowflake, Tableau, and big data technologies
Professional development through mentorship opportunities and work on innovative experimentation methodologies
Work with a mission-driven company focused on powering prosperity and improving financial outcomes for customers worldwide
Seniority level
Mid-Senior level
Employment type
Contract
Job function
Engineering and Information Technology
Industries
Referrals increase your chances of interviewing at TEAM International by 2x
Senior Director, R&D Data Science & Digital Health, Real-World Evidence (RWE), Across Therapeutic Areas
San Diego, CA $173,000 - $299,000 3 hours ago
Senior Director, R&D Data Science & Digital Health, Real-World Evidence (RWE), Neuroscience
San Diego, CA $173,000 - $299,000 2 hours ago
Director, Clinical Data Management & Data Science
Data Science Manager, GenAI, Strategic Analytics - Data Science San Diego, CA $179,000 - $252,000 11 hours ago
Senior Scientist, Data Science and Algorithms
San Diego, CA $179,000 - $252,000 5 hours ago
Bioinformatics / Genetics Data Scientist San Diego, CA $231,000 - $312,500 5 hours ago
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr