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Advanced Analytics Developer Jobs

16 jobs found

18d ago

Marketing Technology Developer

Suncoast Credit Union Tampa, FL

Tampa, FL

18d ago

$71k - $106k/yr Full time Marketing A/B Testing Advanced Analytics

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Job Description

Suncoast Credit Union is a place where software developers can build high-impact digital experiences while working in an inclusive culture that supports growth and community involvement. You will help deliver accessible, high-performing, user-centered online experiences across marketing-owned platforms, backed by benefits focused on financial well-being and wellness.

Location: Tampa, FL (Hybrid)
Schedule: Monday through Friday, 8:00 AM - 5:00 PM
Employment: Full Time
Compensation: USD 70,960 - 106,000 per year (based on experience and credentials)

What you’ll do

Develop, configure, and maintain components, templates, and page experiences within Sitecore XM Cloud.
Support reusable content components while building and maintaining landing pages, campaign pages, promotional content, and microsite experiences.
Help implement and maintain the marketing technology stack across marketing-owned digital platforms and vendors.
Partner with content teams to improve authoring efficiency and website governance.
Troubleshoot website issues and implement CMS enhancements.
Create responsive, cross-browser compatible web experiences using HTML, CSS, JavaScript, and modern front-end frameworks.
Implement enhancements using React, Next.js, and related technologies.
Ensure accessibility and performance best practices are applied to digital experiences.
Collaborate on custom integrations and component enhancements, supporting QA testing and deployment of website updates.
Create wireframes, mockups, page layouts, and visual concepts for digital experiences.
Apply user-centered principles to improve usability and conversion rates, including personalization and A/B testing.
Monitor website performance and engagement metrics, and partner with analytics teams on improvement opportunities.
Assist with SEO best practices and structured content strategies.
Work closely with marketing, product, content, compliance, and technology stakeholders during planning sessions, project reviews, and sprint activities.
Document development standards, component functionality, and design specifications.
Stay current on emerging technologies, Sitecore capabilities, and digital experience trends, including relevant laws and issues affecting the expertise area.
Attend educational events to expand professional knowledge and complete annual compliance and information security training to support effective compliance and security programs.

What you bring

Bachelor’s degree in web design, computer science, interactive media, marketing technology, or a related field (a comparable combination of work experience and training may substitute).
Minimum 2 years of experience in web development, digital experience platforms, and website management.
Experience with Sitecore or a comparable enterprise CMS platform.
Proficiency in HTML5, CSS3, and JavaScript, including responsive design principles.
Experience with modern front-end frameworks such as React or Next.js.
Knowledge of UX/UI design principles, user-centered design methodologies, and tools such as Figma and Adobe Creative Suite (or similar).
Knowledge of web accessibility standards.
Preferred: experience with Sitecore XM Cloud, headless CMS implementations, or Sitecore JSS; personalization and testing/optimization platforms; Google Analytics and Google Tag Manager; SEO best practices and performance optimization; regulated industries such as financial services, healthcare, or e-commerce; and basic APIs and integrations within marketing technology ecosystems.
Preferred: Git, Sitecore capabilities, Google Tag Manager, Google Analytics, Figma, Adobe Creative Suite, and personalization platforms.
Ability to prioritize tasks and manage competing priorities to meet deadlines.
Accurate, detail-oriented, and organized approach to task management.
Ability to analyze and resolve difficult, often complex problems.
Strong written, verbal, and interpersonal communication skills with members, staff, vendors, and government regulators.
Strong knowledge of credit union products, services, policies, and procedures.
Strong knowledge of regulatory compliance.
Strong knowledge of credit union computer systems and software applications required to perform job duties.

Benefits at Suncoast Credit Union

Financial well-being: Bonus Program up to 12%, 401K Matching up to 8%, Retirement Planning, Pay Increases based on Competency, Employee Loan Discounts, Flex Spending Accounts
Wellness: Medical Coverage, Dental and Vision Coverage, Access to 4,000+ Gyms, Mental Health Resources, PTO Wellness Days, Short Term and Long Term Disability Coverage
Work-life balance: 11 Paid Holidays, 3 weeks of Paid Time Off, 4 weeks of Paid Parental Leave, Birthday PTO
Community involvement: Paid Volunteer Hours
Growth: Degree Assistance up to $5,000 per year
For more information, including additional benefits: https://careers.suncoastcreditunion.com/benefits

Tools and technologies you’ll work with

Sitecore XM Cloud, HTML5, CSS3, JavaScript, React, Next.js
Figma, Adobe Creative Suite, Headless CMS, Sitecore JSS
Google Analytics, Google Tag Manager, Git
A/B testing, personalization, structured content strategies, SEO
APIs, integrations, marketing technology ecosystems
Sitecore capabilities and related Sitecore functionality

#LOVEWORK! Employees flourish in an inclusive culture celebrating growth and prioritizing the community. For more information, visit https://careers.suncoastcreditunion.com/.

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24d ago

Web Developer, Technical SEO

Keeper Security, Inc. Remote 🌍 Remote

Remote

24d ago

Full time Marketing Advanced Analytics Analytics

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Job Description

Keeper Security is hiring a Technical SEO/GEO Developer to help strengthen the technical performance, search visibility, and overall quality of its global web properties. This role sits within the Product Marketing and Search Optimization team, combining hands-on web development with technical SEO and GEO. You can work 100% remotely from select locations, with an option for a hybrid schedule if you’re in the Chicago, IL or El Dorado Hills, CA metro areas.

What you’ll work on

Run technical SEO audits covering crawlability, indexation, site architecture, internal linking, redirects, canonicalization, JavaScript rendering, and Core Web Vitals
Monitor and improve website health using tools such as Google Search Console, Screaming Frog, Ahrefs, Semrush, PageSpeed Insights, and analytics platforms
Identify technical issues that impact organic search performance, then partner with Development, Design, and Marketing to drive fixes
Support SEO implementation across WordPress, including metadata, structured data, XML sitemaps, robots.txt, redirects, templates, and page-level optimizations
Evaluate how Keeper content appears in Google AI Overviews, ChatGPT, Perplexity, and other AI search experiences
Apply GEO principles to improve content structure, entity clarity, topical authority, internal linking, and the accuracy of brand and product representation in AI-generated answers
Implement SEO and GEO recommendations directly where possible, or provide clear tickets and technical requirements for Development
Use AI-assisted tools such as Claude, ChatGPT, GitHub Copilot, or similar platforms for development support, technical analysis, debugging, auditing, and workflow efficiency
Automate recurring technical SEO workflows using scripts, APIs, or automation to streamline audits, reporting, and internal linking analysis
Support international SEO for localized web experiences, including hreflang implementation, localization coverage, and identification of missing or incorrect translations
Stay current on search engine algorithm updates, AI search behavior, structured data changes, and technical SEO best practices
Validate canonical tags, redirects, metadata, structured data, and other search-related website elements
Monitor crawlability and indexability, and troubleshoot directives such as robots.txt, XML sitemaps, canonical tags, and other signals
Find and resolve issues such as broken links, duplicate content, redirect chains, orphaned pages, and other site architecture problems
Strengthen discoverability by improving internal linking and information architecture
Validate SEO requirements during launches, migrations, redesigns, and new page development
Monitor production websites for technical regressions or unexpected changes that may affect search performance
Troubleshoot across HTML, CSS, JavaScript, rendering, APIs, and content management systems
Work with analytics and SEO platforms to identify opportunities, measure results, and prioritize technical improvements
Maintain clear documentation for technical SEO standards, development requirements, and recurring audit processes

What you bring

3+ years of professional web development experience with hands-on technical SEO responsibilities
Strong proficiency with HTML, CSS, and JavaScript
Experience developing, maintaining, and troubleshooting production websites
Hands-on experience implementing technical SEO requirements, including canonical tags, redirects, structured data, metadata, XML sitemaps, and robots.txt
Strong understanding of search engine crawling, rendering, and indexing behavior
Experience resolving issues involving duplicate content, canonicalization, redirects, and site architecture
International SEO experience including hreflang, localization, and multilingual website architecture
Knowledge of website performance, Core Web Vitals, and frontend optimization
Familiarity with modern frameworks, content management systems, and Git-based development workflows
Experience with technical SEO and web analysis tools such as Google Search Console, Screaming Frog, Sitebulb or similar platforms
Familiarity with web analytics platforms and using data to evaluate website and search performance
Strong debugging and problem-solving skills across both web development and SEO
Ability to work effectively across Product Marketing, Search Optimization, and Engineering teams
Attention to detail when working across large websites
Ability and willingness to use AI-assisted development and analysis tools effectively for coding, auditing, debugging, and documentation
Bachelor’s degree in Computer Science, Web Development, Information Systems, Marketing Technology, or a related field (or equivalent practical experience)

Benefits

Medical, Dental & Vision (inclusive of domestic partnerships)
Employer Paid Life Insurance & Employee/Spouse/Child Supplemental life
Voluntary Short/Long Term Disability Insurance
401K (Roth/Traditional)
A generous PTO plan that celebrates your commitment and seniority (including paid Bereavement/Jury Duty, etc)
Above market annual bonuses

Additional role details

Classification: Exempt

Tech stack you may work with

HTML, CSS, JavaScript
Google Search Console, Screaming Frog, Ahrefs, Semrush, PageSpeed Insights
Google AI Overviews, ChatGPT, Perplexity
WordPress, structured data, XML sitemaps, robots.txt, canonical tags, hreflang
Core Web Vitals, Sitebulb
Google Tag Manager, Google Analytics
Claude, GitHub Copilot
Git-based development workflows, React, Next.js
schema.org, CDN, caching, JavaScript SEO, A/B testing, Python

Keeper Candidate Privacy Notice (summary)

Keeper collects information you provide (contact details, CV/resume, cover letter, employment history, qualifications, work eligibility, application responses and uploaded documents), information generated during interviews (interview notes, assessments, communications, scheduling information), and information from others (recruiter/referral information, references with consent before a final offer, public professional profiles, and post-offer background verification). Data may be used to assess your application, manage recruitment, consider you for future roles, and comply with employment law obligations. Data may be shared internally (HR, hiring managers, interviewers, IT support) and with third-party service providers that support applicant tracking, recruitment systems, assessments, background verification, recruitment agencies (where applicable), and secure data storage. Your data may be accessed by Keeper entities globally for hiring and decision making. Retention is 24 months from your last application activity, then delete or anonymize (with exceptions for opting into a talent database or if hired). Keeper does not make hiring decisions using solely automated processing. You can contact privacy@keepersecurity.com with privacy questions.

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24d ago

Machine Learning Engineer 2, Business Platform

Intuit Mountain View, CA

Mountain View, CA

24d ago

$141k - $190k/yr Full time Python A/B Testing Advanced Analytics

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Job Description

Intuit is hiring a Machine Learning Engineer 2 embedded in a data science team to conceive, code, and deploy data science models at scale.

Responsibilities

Discover data sources, obtain access, import data, clean and prepare it to be machine learning ready
Partner with data scientists to create and refine features and build pipelines for training and deployment
Collaborate on machine learning and other algorithms: implement, refine, and support design efforts
Run recurring A/B tests, collect results, perform statistical analysis, and draw conclusions on model impact
Work cross-functionally with product managers, data scientists, and product engineers; communicate findings to peers and leaders
Explore new technology shifts and assess how they can connect to customer benefits

Requirements

BS, MS, or PhD in Computer Science or a related field, or equivalent work experience
1+ years of experience
Knowledge of data science tools and frameworks: Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark
Basic understanding of machine learning techniques: classification, regression, clustering
Understanding of machine learning principles such as training and validation
Knowledge of data query and processing tools: SQL
Computer science fundamentals: data structures, algorithms, performance complexity, and how computer architecture impacts software performance (including I/O and memory tuning)
Software engineering fundamentals: version control systems (such as Git and GitHub), workflows, and ability to write production-ready code
Experience deploying highly scalable software supporting millions or more users
Experience with GPU acceleration (such as CUDA and cuDNN)
Experience integrating applications and platforms with cloud technologies (such as AWS and GCP)
Strong oral and written communication, including leading meetings and presenting complex technical material to non-technical users

Tech Stack

Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark
SQL, Git, GitHub
CUDA, cuDNN
AWS, GCP

Role Overview

Embedded in a data science team to help conceive, code, and deploy data science models at scale
Focus areas include data wrangling, scaled model deployments, model development, and building agentic systems

Location: Mountain View, CA (onsite)

Compensation: USD 140,500 - 190,000 per year

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2mo ago

Senior Machine Learning Engineer

TikTok USDS JV Los Angeles, CA

Los Angeles, CA

2mo ago Closed

$178k - $416k/yr Full time Ad Tech Advanced Analytics Ai Ml

This position is no longer accepting applications (closed Sep 20, 2026).

Job Description

TikTok USDS JV is hiring a Senior Machine Learning Engineer to join the TikTok USDS Ads shop team in Los Angeles, CA. In this onsite role, you will help build scalable machine learning systems that support ad ranking and improve advertiser marketing strategies across both open-loop and closed-loop shop ads.

The work centers on developing and experimenting with models and features, using machine learning to raise ad relevance and quality, and partnering with product and design collaborators to deliver next-generation shopping experiences on TikTok.

What you’ll do

Build highly scalable machine learning systems and state-of-the-art models to improve ad ranking quality and optimize advertisers’ marketing strategies, including click-through rate prediction, conversion rate prediction, intelligent format selection, and user journey optimization.
Explore, develop, and experiment with new features to improve model accuracy.
Apply modern machine learning to ads platform objectives to improve the relevance, quality, and quantity of ads delivered to end-users.
Collaborate with Global counterparts, Product Managers, Designers, and other disciplines to explore the next generation of shopping experiences on TikTok.

Required qualifications

5+ years experience as a Machine Learning Engineer and Data Scientist, with causal machine learning experience preferred.
Proficiency with SQL and Python, including data manipulation.
Experience with big data processing frameworks such as Hadoop and Spark, and distributed computing for efficient data mining on large-scale datasets.
Solid understanding of machine and deep learning concepts, including feature engineering, model evaluation, and optimization.
Strong analytical and problem-solving skills, including the ability to handle and derive insights from complex and unstructured datasets.
Master’s or advanced degree in Computer Science, Data Science, Statistics, or a related field.
Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams and explain technical concepts to non-technical stakeholders.
Highly self-motivated approach to driving business growth and advancing technical capabilities.
Work experience in user growth, marketing algorithms, recommendation algorithms, advertisement algorithms, or related fields is preferred.

Technologies

SQL
Python
Hadoop
Spark

Compensation

Annual base salary range for the selected city (Los Angeles, CA): $177,688 - $416,100. Compensation may vary outside this range based on qualifications, skills, competencies, experience, and location.

Benefits

Medical, dental, and vision insurance
401(k) savings plan with company match
Paid parental leave
Short-term and long-term disability coverage
Life insurance
Wellbeing benefits
10 paid holidays per year
10 paid sick days per year
17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure)
Additional discretionary bonuses/incentives
Restricted stock units

Reasonable accommodation

USDS is committed to providing reasonable accommodations in its recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs, or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, contact: https://tinyurl.com/USDS-RA.

Los Angeles County (Unincorporated) Fair Chance notice

Qualified applicants with arrest or conviction records will be considered for employment in accordance with federal, state, and local laws, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Criminal history may have a direct, adverse, and negative relationship to job duties, potentially resulting in withdrawal of a conditional offer. This includes interacting and occasionally having unsupervised contact with internal or external clients and colleagues, handling confidential information (including proprietary and trade secret information), and managing access to information technology systems, as well as exercising sound judgment.

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2mo ago

Sr Machine Learning Engineer

Disney Entertainment and ESPN Product & Technology Seattle, WA

Seattle, WA

2mo ago Closed

$142k - $199k/yr Full time Advanced Analytics Ai Ml Analytics

This position is no longer accepting applications (closed Sep 6, 2026).

Job Description

The Senior Machine Learning Engineer role supports Disney Entertainment and ESPN Product & Technology, within the Ad Platforms Decisioning Fleet/Selection squad. The position focuses on building services and machine learning models that improve ad fill efficiency across Hulu, Disney+, ESPN, and other properties, with emphasis on scalable, performant, and testable software in a microservices environment.

Key Responsibilities

Design, implement, and test ad-serving logic that satisfies business criteria using rule-based or ML-based approaches for a high-throughput, low-latency microservices environment.
Improve system observability by implementing appropriate metrics, monitors, and alerting.
Review product user stories and translate them into actionable tasks across both frontend and backend components.
Own one or more domain areas within the team.
Use automated tools (AI) in alignment with company policy.
Participate in on-call rotations according to the team’s escalation policy and support schedule.

Required Qualifications

BS or MS in Computer Science / Engineering, or relevant work experience.
5+ years of software engineering experience with dedicated ML experience.
Proficiency in Java.
Experience with large-scale ML/DL platforms and processing technology stacks.
Experience with large-scale machine learning using tools such as scikit-learn, Spark MLLib, and pytorch.
Experience developing LLM-based applications using LLM-as-a-service providers such as AWS Bedrock, Azure Cognitive Services, or Google Vertex AI.
Experience building agents with frameworks such as LangGraph, Crew AI, and strands sdk.
Experience with vector databases and retrieval-augmented generation.
Strong analytical and problem-solving skills, including knowledge of implementing AI/ML technologies and applying mathematical and statistical concepts.
Effective communication and collaboration skills with both technical and non-technical audiences.

Technologies

Java, scikit-learn, Spark MLLib, pytorch, AWS Bedrock, Azure Cognitive Services, Google's Vertex AI, LangGraph, Crew AI, strands sdk, vector databases, retrieval-augmented generation, SpringBoot, Spring, DynamoDB, Redis, ValKey, MemCache, Apache Kafka, Kinesis, AWS, Terraform, Docker, Kubernetes

What You Will Do Daily

Communicate and collaborate across teams and systems to support delivery.
Apply an understanding of project ownership.
Demonstrate interest in mentoring, learning, and adapting in a dynamic, fast-paced environment.
Work with micro-service encapsulation and loose coupling principles.
Understand ML models and how to leverage them in both online and offline settings.
Define technical and operational metrics to measure system health and manage risk.
Practice kindness and pragmatic optimism.

Preferred Qualifications

Experience with SpringBoot and related Spring projects.
Experience with non-relational database technologies such as DynamoDB.
Experience with caching datastores including Redis, ValKey, or MemCache.
Experience with data streaming mechanisms such as Apache Kafka and/or Kinesis.
Experience with AWS.
Experience with modern DevOps tools such as Terraform, Docker, and Kubernetes.
Domain knowledge in the Ad Tech industry.

Location and Compensation

Location: Seattle, WA (onsite)
Salary: USD 141,900 - 199,400 per year
Office requirement: Engineers are expected to be in the office four days a week.
Hiring locations: Glendale, Seattle, San Francisco, or Santa Monica

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3mo ago

Machine Learning Engineer

Photon New Jersey

New Jersey

3mo ago Closed

Full time Python Advanced Analytics Ai Ml

This position is no longer accepting applications (closed Aug 30, 2026).

Job Description

Photon seeks a skilled Machine Learning Engineer for an onsite role in New Jersey. The position focuses on designing and deploying analytics models through statistical and machine learning approaches, collaborating with product and engineering teams to solve complex business problems, and delivering end-to-end ML solutions in production using Python, Spark, and Databricks.

Responsibilities

Assess business use cases and design analytics models using statistical and machine learning methods tailored to specific requirements.
Develop machine learning algorithms to personalize customer experiences and generate actionable business insights.
Apply data mining and ML techniques, including forecasting, prediction, segmentation, recommendation, and fraud detection.
Augment company data with third-party sources to broaden analytics capabilities.
Improve data collection processes to capture information essential for analytics systems.
Prepare raw data for analysis, including cleaning, imputing missing values, and standardizing formats using Python data frameworks (Pandas, NumPy).
Implement ML models with attention to performance and scalability using PySpark in Databricks.
Design and build infrastructure to support large-scale data analytics and experimentation.
Utilize tools such as Jupyter Notebooks for data exploration and model development.

Requirements

Bachelor's or graduate degree in Computer Science, Mathematics, Physics, or related fields; PhD preferred but not required.
Minimum five years of experience in data analytics with a strong understanding of core statistical algorithms, including classification and regression.
Strong experience with Python-based machine learning libraries such as scikit-learn, TensorFlow, and PyTorch.
Proficiency with analytics platforms like Databricks for large-scale data processing.
At least four years of continuous experience with Spark, particularly PySpark.
Hands-on experience with data processing and analysis tools including Pandas, NumPy, and Jupyter Notebooks.

Technologies

Python
Spark
Databricks
Pandas
NumPy
Jupyter Notebooks
PySpark
scikit-learn
TensorFlow
PyTorch

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3mo ago

Manager, Front-End Application Developer

Publicis Groupe Holdings B.V New York, NY

New York, NY

3mo ago Closed

$125k - $158k/yr Full time Manager Advanced Analytics Analytics

This position is no longer accepting applications (closed Aug 19, 2026).

Job Description

Onsite in New York, NY, this role offers a salary range of USD 125,424 to 158,067 per year for an experienced Front End Application Developer focused on analytics, ML workflows, and complex decisioning.

Responsibilities

Design, develop, and maintain frontend applications powering analytics, ML driven workflows, and internal platforms
Own frontend codebases end to end, including architecture, implementation, testing, and ongoing enhancements
Establish and maintain reusable UI components, design patterns, and frontend standards
Translate data science, analytics, and optimization use cases into intuitive, user friendly interfaces
Build dashboards, configuration panels, and workflow interaction screens that support complex decisioning
Partner with data science, analytics, and product teams to ensure UIs accurately reflect underlying logic and workflows
Integrate UI components with backend services, APIs, and data pipelines
Consume and manage JSON based APIs and asynchronous data flows
Collaborate closely with backend and data engineering teams to define contracts, schemas, and interaction patterns
Ensure applications meet high standards for usability, performance, responsiveness, and accessibility
Optimize front end performance for data heavy views, dashboards, and real time interactions
Implement testing, debugging, and monitoring practices to maintain application reliability
Act as a front end technical owner, influencing architectural decisions and best practices
Mentor other engineers and contribute to shared UI frameworks and design system
Collaborate cross functionally with engineering, analytics, data science, and product stakeholders

Requirements

Strong experience with modern front end frameworks such as React, Angular, or similar
Proficiency in JavaScript / TypeScript, HTML, and CSS
Experience building component based architectures and reusable UI libraries
Strong understanding of REST APIs, JSON based integrations, and asynchronous communication patterns
Familiarity with MCP servers or comparable service oriented / agent based architectures
Experience integrating front end applications with complex backend systems
Familiarity with data visualization libraries (e.g., D3, Chart.js, Vega, or similar)
Experience building dashboards and interactive analytics views
Ability to present complex data and ML outputs in clear, actionable ways
Working knowledge of Python for scripting, prototyping, or lightweight backend integration
Understanding of basic data concepts (schemas, metrics, aggregations) to support analytics driven UIs
Demonstrated experience building internal or enterprise grade applications
Familiarity with authentication, authorization, role based access, and secure application patterns
Experience working in cross functional, platform oriented environments
Experience supporting analytics platforms, ML workflows, or decisioning systems
Familiarity with design systems and UX collaboration workflows
Exposure to cloud based application deployment and CI/CD pipelines

Technologies

React
Angular
JavaScript
TypeScript
HTML
CSS
REST APIs
JSON
MCP servers
D3
Chart.js
Vega
Python
CI/CD pipelines

Why this role matters

This role ensures that advanced analytics and machine learning capabilities are usable, understandable, and actionable. The successful candidate will shape how users interact with data driven intelligence, enabling better decisions at scale.