Front End Data Science Developer Jobs in California

AI Data Science Engineer III

Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring a Senior Consultant in Data Science to join our Human Capital practice and help shape the future of workforce analytics. In this role, you will build and design and deliver data-driven products and solutions that drive measurable impact clients. You will be part of a collaborative, multidisciplinary team that brings together data science, human capital strategy, and technology to advance what's possible for our clients.

This role is hands-on and delivery-oriented: you will design, build, and implement reusable analytics products and assets that extend our Human Capital service offerings.

Recruiting for this role ends on August 30, 2026

Work You'll Do:

As an AI Data Science Engineer III, you will work directly Human Capital product managers and clients to design and deliver data-driven workforce and human capital analytics solutions, owning end-to-end solutions from data modeling to stakeholder presentations. You will build dashboards, reports, and reusable analytics products, turning complex human capital data into clear, actionable insights.

Key Responsibilities:

• Lead the design, development, and delivery of analytics solutions that address complex workforce and human capital challenges for clients across industries.
• Build and maintain scalable data pipelines, dashboards, and reporting frameworks using SQL and Tableau (or equivalent visualization platforms).
• Translate ambiguous business problems into structured analytical approaches, communicating findings and recommendations clearly to both technical and non-technical stakeholders.
• Collaborate across service lines to embed AI-enabled capabilities and emerging data methodologies into client solutions.

• Support business development efforts including proposals, client presentations, and thought leadership content.
• Design and deliver intuitive, executive-ready reports and dashboards that make complex workforce data accessible and actionable.
• Apply economic and statistical reasoning to interpret workforce trends, model scenarios, and support evidence-based decision-making.

A successful candidate would possess these skills:

• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to provide clear guidance to others

The Team

HC Forward is a dedicated innovation partner accelerating the future of Human Capital by building market-aligned products, platforms, and services that apply AI, data, and engineering to modernize HR experiences and outcomes.

Required Qualifications:

• Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science)
• 4+ years of experience in data science, analytics, or a related field - with direct experience in client-facing or consulting environments.
• 4+ years of demonstrated proficiency in SQL for data extraction, transformation, and analysis across relational databases.

• 4+ years of demonstrated proficiency in Python or R for statistical modeling and data wrangling.

• 4+ years of hands-on experience with data visualization tools such as Tableau, Power BI, or equivalent platforms.
• 4+ years of building analytics solutions end-to-end: from data ingestion and modeling to visualization and stakeholder presentation.
• Ability to travel 0-25%, on average, based on client and project needs.
• Limited immigration sponsorship may be available

Preferred Qualifications:

• Advanced degree (MS/PhD) and/or relevant certifications (data science and AI/ML).
• Experience working with workforce, HR, or human capital data (e.g., headcount, attrition, compensation, organizational network analysis).
• AI fluency and familiarity with machine learning concepts, large language model applications, or AI-augmented analytics workflows.
• Economics background or acumen, with the ability to apply labor market economics principles to workforce problems.
• Experience in analytics product development - building repeatable tools, models, or platforms rather than one-off deliverables.
• Proficiency in Python or R for statistical modeling and data wrangling.
• Strong communication skills with the ability to convey complex analytical insights to diverse audiences.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $122,000 to $240,500.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

AI Data Science Engineer III

Our Deloitte Human Capital team transforms technology platforms, drives innovation, and helps make a significant impact on our clients' success. We are hiring a Senior Consultant in Data Science to join our Human Capital practice and help shape the future of workforce analytics. In this role, you will build and design and deliver data-driven products and solutions that drive measurable impact clients. You will be part of a collaborative, multidisciplinary team that brings together data science, human capital strategy, and technology to advance what's possible for our clients.

This role is hands-on and delivery-oriented: you will design, build, and implement reusable analytics products and assets that extend our Human Capital service offerings.

Recruiting for this role ends on August 30, 2026

Work You'll Do:

As an AI Data Science Engineer III, you will work directly Human Capital product managers and clients to design and deliver data-driven workforce and human capital analytics solutions, owning end-to-end solutions from data modeling to stakeholder presentations. You will build dashboards, reports, and reusable analytics products, turning complex human capital data into clear, actionable insights.

Key Responsibilities:

• Lead the design, development, and delivery of analytics solutions that address complex workforce and human capital challenges for clients across industries.
• Build and maintain scalable data pipelines, dashboards, and reporting frameworks using SQL and Tableau (or equivalent visualization platforms).
• Translate ambiguous business problems into structured analytical approaches, communicating findings and recommendations clearly to both technical and non-technical stakeholders.
• Collaborate across service lines to embed AI-enabled capabilities and emerging data methodologies into client solutions.

• Support business development efforts including proposals, client presentations, and thought leadership content.
• Design and deliver intuitive, executive-ready reports and dashboards that make complex workforce data accessible and actionable.
• Apply economic and statistical reasoning to interpret workforce trends, model scenarios, and support evidence-based decision-making.

A successful candidate would possess these skills:

• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to provide clear guidance to others

The Team

HC Forward is a dedicated innovation partner accelerating the future of Human Capital by building market-aligned products, platforms, and services that apply AI, data, and engineering to modernize HR experiences and outcomes.

Required Qualifications:

• Bachelor's degree in a STEM field (e.g., Computer Science, Engineering, Statistics, Data Science)
• 4+ years of experience in data science, analytics, or a related field - with direct experience in client-facing or consulting environments.
• 4+ years of demonstrated proficiency in SQL for data extraction, transformation, and analysis across relational databases.

• 4+ years of demonstrated proficiency in Python or R for statistical modeling and data wrangling.

• 4+ years of hands-on experience with data visualization tools such as Tableau, Power BI, or equivalent platforms.
• 4+ years of building analytics solutions end-to-end: from data ingestion and modeling to visualization and stakeholder presentation.
• Ability to travel 0-25%, on average, based on client and project needs.
• Limited immigration sponsorship may be available

Preferred Qualifications:

• Advanced degree (MS/PhD) and/or relevant certifications (data science and AI/ML).
• Experience working with workforce, HR, or human capital data (e.g., headcount, attrition, compensation, organizational network analysis).
• AI fluency and familiarity with machine learning concepts, large language model applications, or AI-augmented analytics workflows.
• Economics background or acumen, with the ability to apply labor market economics principles to workforce problems.
• Experience in analytics product development - building repeatable tools, models, or platforms rather than one-off deliverables.
• Proficiency in Python or R for statistical modeling and data wrangling.
• Strong communication skills with the ability to convey complex analytical insights to diverse audiences.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $122,000 to $240,500.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.