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Director Predictive Analytics Jobs in California

Happiest Baby, Inc.

Director of Operations

Los Angeles, CA · On-site

$115K - $145K/yr

... Director of Operations to lead and scale our supply chain as we grow domestically and ... Leverage AI tools (including Claude), dashboards, and predictive analytics to continuously improve ...

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Director Predictive Analytics information

What are the key skills and qualifications needed to thrive as a director of predictive analytics?

To thrive as a Director of Predictive Analytics, you need advanced expertise in statistics, machine learning, and data analysis, typically supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with tools such as Python, R, SQL, cloud-based analytics platforms, and relevant certifications in data science or analytics software are highly valued. Exceptional leadership, strategic thinking, and communication skills help you translate complex data insights into actionable business strategies and manage cross-functional teams effectively. These competencies are crucial for driving data-informed decision-making and maximizing the value of predictive analytics within an organization.

What jobs use predictive analytics?

Predictive analytics is used in a variety of roles such as data analysts, data scientists, business analysts, and marketing analysts. These jobs involve analyzing data to forecast trends, improve decision-making, and optimize processes using tools like statistical software and machine learning algorithms.

What is the difference between Director Predictive Analytics vs Data Scientist?

AspectDirector Predictive AnalyticsData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often requires leadership experienceBachelor's or Master's in Data Science, Statistics, Computer Science, or related field
Work EnvironmentLeads teams, manages projects, collaborates with executivesAnalyzes data, develops models, reports findings
Employer & Industry UsageUsed in corporate, finance, healthcare, and tech sectors for strategic decision-makingCommon across tech, finance, marketing, and research sectors for data analysis

The main difference is that the Director Predictive Analytics oversees teams and strategic projects, focusing on leadership and high-level decision-making, while Data Scientists primarily analyze data and build models to derive insights. Both roles require strong analytical skills and knowledge of data tools, but the director position emphasizes management and strategic alignment.

What are the typical collaboration points for a director of predictive analytics within an organization?

A Director of Predictive Analytics regularly collaborates with cross-functional teams, including data engineers, data scientists, business stakeholders, and IT departments. They are responsible for translating business needs into analytical solutions, ensuring data quality, and integrating predictive models into operational systems. Strong communication is essential, as the director must bridge technical teams and business leaders to drive data-driven decision-making throughout the organization.

What does a director of predictive analytics do?

A Director of Predictive Analytics leads teams that use data, statistical algorithms, and machine learning techniques to forecast future outcomes and trends for a business. They are responsible for developing and implementing predictive models that drive strategic decisions in areas such as marketing, operations, and risk management. This role often involves collaborating with executives, data scientists, and IT professionals to ensure analytics solutions align with organizational goals. Additionally, the Director oversees data quality, project management, and the adoption of analytical best practices across the company.

What are the most commonly searched types of Predictive Analytics jobs in California?

The most popular types of Predictive Analytics jobs in California are:

What cities in California are hiring for Director Predictive Analytics jobs?

Cities in California with the most Director Predictive Analytics job openings:

Director Predictive Analytics jobs near you

Data Scientist - Product Analytics & Growth Measurement *** Direct end client ***

Projas Technologies, LLC

Mountain View, CA • On-site

Other

Posted 5 days ago

Job description

Data Scientist - Product Analytics & ExperimentationJob Summary

We are seeking a Data Scientist to drive product growth, customer acquisition, and funnel optimization initiatives through advanced analytics, experimentation, and data-driven decision making. This role partners closely with Product, Marketing, Engineering, Design, and Business stakeholders to define key success metrics, measure product performance, identify growth opportunities, and influence strategic decisions.

The ideal candidate brings deep expertise in product analytics, A/B testing, causal inference, SQL, statistical modeling, and forecasting, along with experience building scalable reporting and measurement frameworks.

Key ResponsibilitiesProduct Analytics & Growth Measurement
  • Define, measure, and optimize key funnel and product performance metrics.
  • Identify opportunities to improve end-to-end customer journey performance.
  • Drive insights that influence product strategy and business outcomes.
  • Develop KPI frameworks and measurement methodologies for new initiatives.
Experimentation & Data Science
  • Design, execute, and evaluate A/B tests and controlled experiments.
  • Develop experiment instrumentation, success metrics, reporting, and statistical analysis.
  • Perform significance testing, causal inference analysis, and impact measurement.
  • Conduct ad hoc exploratory, directional, and causal analyses to support business decisions.
Reporting & Analytics Engineering
  • Automate KPI reporting and performance monitoring processes.
  • Build and maintain dashboards, data pipelines, and self-service analytics solutions.
  • Develop scalable reporting capabilities for product and business stakeholders.
  • Improve data quality, measurement reliability, and reporting efficiency.
Cross-Functional Collaboration
  • Partner with Product Managers, Marketers, Engineers, Designers, and Business Leaders.
  • Translate complex analyses into actionable recommendations.
  • Support product development, growth initiatives, and strategic planning efforts.
  • Drive a culture of experimentation and data-driven decision making.
Modeling & Forecasting
  • Develop forecasts and predictive models using time series and statistical techniques.
  • Analyze trends, customer behavior, and business performance drivers.
  • Support strategic planning through advanced analytics and scenario modeling.
Required Qualifications
  • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Business Analytics, Mathematics, Economics, or a related quantitative field.
  • Strong experience in Data Science, Product Analytics, or Business Analytics roles.
  • Advanced SQL skills and experience working with large-scale datasets.
  • Hands-on experience designing and analyzing A/B tests and experimentation frameworks.
  • Strong understanding of statistics, hypothesis testing, and causal inference methodologies.
  • Experience building dashboards, reporting frameworks, and KPI measurement systems.
  • Strong analytical thinking and problem-solving abilities.
  • Proven ability to work cross-functionally and influence stakeholders through data.
Preferred Qualifications
  • Experience in Financial Technology (FinTech), Payments, Digital Commerce, E-commerce, Consumer Technology, or Growth Analytics environments.
  • Experience with customer acquisition, referral programs, retention, or growth funnels.
  • Knowledge of time series forecasting and predictive analytics techniques.
  • Familiarity with data pipeline optimization and analytics engineering concepts.
  • Experience with AI-assisted workflows, Generative AI tools, or machine learning applications.
  • Experience developing self-service analytics and experimentation platforms.
Technical SkillsRequired
  • SQL
  • Product Analytics
  • A/B Testing
  • Experiment Design
  • Statistical Analysis
  • Causal Inference
  • Data Visualization
  • KPI Development
  • Funnel Analytics
  • Dashboard Development
  • Data Modeling
  • Business Analytics
Preferred
  • Python
  • R
  • Machine Learning
  • Time Series Forecasting
  • Growth Analytics
  • Analytics Engineering
  • Generative AI
  • Predictive Modeling
  • FinTech Analytics
  • Customer Journey Analytics

Senior Data Scientist, Data Scientist, Product Analytics, Growth Analytics, Experimentation, A/B Testing, AB Testing, Multivariate Testing, Statistical Analysis, Causal Inference, Hypothesis Testing, SQL, Advanced SQL, Product Data Science, Business Analytics, Customer Analytics, Funnel Analytics, Conversion Optimization, KPI Development, Data Visualization, Dashboarding, Tableau, Power BI, Looker, Data Modeling, Analytics Engineering, Predictive Analytics, Forecasting, Time Series Forecasting, Machine Learning, Python, R, FinTech, Financial Technology, Referral Programs, Customer Acquisition, Growth Strategy, Product Metrics, Data Pipelines, Experiment Design, Decision Science, Customer Journey Analytics, Digital Products, Generative AI, Artificial Intelligence, AI-Assisted Workflows, Cross-Functional Collaboration, Data-Driven Decision Making, Product Growth, E-commerce Analytics, Consumer Analytics, Quantitative Analysis, Senior Analytics Consultant, Insights Analytics, Product Measurement, Statistical Modeling

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