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senior gcp data engineer

The Home Depot

<div>
 Req159943
 
 
 
 Position Purpose
 
 
 
 Decision Analytics associates produce insights that answer key enterprise questions around budget, priorities, courses of action, and important decisions. They develop frameworks for analysis by identifying the right metrics for consistent, effective insights that drive business outcomes. Decision Analytics associates are skilled in advanced analytics and analytical tools and languages such as GCP Big Query, Python, R, SQL, Jupyter Notebook, Adobe Analytics, and Tableau. While they may have the ability to support model development and AI/ML work, they are primarily focused on internal business insights (i.e., business intelligence). Decision Analytics associates possess the domain expertise to understand the businesses they support with their analysis.
 
 
 Senior Decision Analysts assist in the development of advanced analytics to support the company's strategic objectives. The role works cross-functionally with business partners from Merchandising, Finance, Operations, Supply Chain, Online and IT to design and implement decision analytics, tools, and new visibility/reporting capabilities. This role has responsibility for creating analytics, translating business questions to actionable insights, supporting ongoing analytical needs, designing new analytical tools, and collaborating with cross- functional teams to deliver high quality analytical solutions for The Home Depot. The Senior Decision Analyst monitors transformation of data and works with appropriate technology teams to resolve issues relating to incorrect mapping, business rules, and data deviations. This role is expected to leverage effective communication skills to translate complex analyses into understandable insights for business clients, internal teams and key decision makers.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 65% - Data Analytics - Analyzes large volumes of data and leverages data analytics tools to create new dashboards, reports and any additional ad-hoc requests, using a wide variety of database applications / analytical tools /languages including GCP BigQuery, SQL, SAS, R, Python, Jupyter Notebook, Adobe Analytics, and Tableau.
 </li>
 <li>
 10% - Management of Data - Collaborate with other decision analysts to explore new sources of data; cleanse, validate and test data.
 </li>
 <li>
 5% - Project Management &amp; Support - Supports end users, solve problems and troubleshoots numerous issues.
 </li>
 <li>
 15% - Solution Development - Collaborate with stakeholders, business partners, colleagues, developers, and business analysts to deliver high quality analytics solutions.
 </li>
 <li>
 5% - Technical Exploration &amp; Development - Develops additional technical competencies and subject matter expertise within core functional group, including but not limited to enhancements/modifications to systems and procedures.
 
 
 </li>
 </ul>
 
 Direct Manager/Direct Reports
 
 
 
 <ul>
 <li>
 This position reports to the Manager
 </li>
 <li>
 This position has 0 direct reports
 
 
 </li>
 </ul>
 
 Travel Requirements
 
 
 
 <ul>
 <li>
 No travel required.
 
 
 </li>
 </ul>
 
 Physical Requirements
 
 
 
 <ul>
 <li>
 Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions, there may be a need to move or lift light articles.
 
 
 </li>
 </ul>
 
 Working Conditions
 
 
 
 <ul>
 <li>
 Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Must be 18 years of age or older.
 </li>
 <li>
 Must be legally permitted to work in the United States.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Master's degree in a quantitative field (Statistics, Analytics, Computer Science, etc.) or relevant work experience
 </li>
 <li>
 6+ years of experience in in data mining, statistical analysis, auditing, and/or forecasting
 </li>
 <li>
 Demonstrated expertise on data analysis and data visualization
 </li>
 <li>
 Demonstrated expertise on how to translate analysis into effective presentations
 </li>
 <li>
 Demonstrated expertise utilizing data analysis to identify key insights that help solve business problems
 </li>
 <li>
 Ability to apply experience in a wide variety of database applications, analytical tools and languages including SQL, SAS, Tableau, R, Python, Teradata, Oracle and similar tools
 </li>
 <li>
 Working knowledge of Microsoft Excel and Power Point
 </li>
 <li>
 Manage requests and roadmaps for insights for the online merchandising, marketing, and ELT organizations
 </li>
 <li>
 Produce deep, statistical analysis in service of predictive insights
 </li>
 <li>
 Ability to partner with requesting organizations to build KPI frameworks
 </li>
 <li>
 Ability to code in Python, R, SQL, Jupyter Notebook, VertexAI and AutoML
 </li>
 <li>
 Ability to visualize data using Tableau
 </li>
 <li>
 Experience managing multiple projects and working in a fast-paced environment
 </li>
 <li>
 Critical thinking skills to identify the strengths and weaknesses of alternative solutions; ability to understand and foresee implications of new information for current and future problems solving.
 </li>
 <li>
 Strong written and verbal communications skills. Ability to persuade, inform, and influence others based on findings. A track record of taking complex results and communicating them in an easily understood way.
 </li>
 <li>
 Superior interpersonal skills and ability to collaborate actively and work in a team environment.
 </li>
 <li>
 Ability to quickly learn and adapt to new technologies, tools, and techniques.
 
 
 </li>
 </ul>
 
 Minimum Education
 
 
 
 <ul>
 <li>
 The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 <ul>
 <li>
 The knowledge, skills and abilities typically acquired through the completion of a master's degree program or equivalent degree in a field of study related to the job.
 
 
 </li>
 </ul>
 
 Minimum Years Of Work Experience
 
 
 
 <ul>
 <li>
 5
 
 
 </li>
 </ul>
 
 Preferred Years Of Work Experience
 
 
 
 <ul>
 <li>
 6
 
 
 </li>
 </ul>
 
 Minimum Leadership Experience
 
 
 
 <ul>
 <li>
 No previous leadership experience
 
 
 </li>
 </ul>
 
 Preferred Leadership Experience
 
 
 
 <ul>
 <li>
 No previous leadership experience
 
 
 </li>
 </ul>
 
 Certifications
 
 
 
 <ul>
 <li>
 None
 
 
 </li>
 </ul>
 
 Competencies
 
 
 
 <ul>
 <li>
 Action Oriented
 </li>
 <li>
 Collaborates
 </li>
 <li>
 Drives Engagement
 </li>
 <li>
 Communicates Effectively
 </li>
 <li>
 Customer Focus
 </li>
 <li>
 Drives Results
 </li>
 <li>
 Manages Conflict
 </li>
 </ul>
</div>

ONLINE SR DECISION ANALYST

NiCE Actimize

<div><div>At NiCE, we don&rsquo;t limit our challenges. We challenge our limits. Always. We&rsquo;re ambitious. We&rsquo;re game changers. And we play to win. We set the highest standards and execute beyond them. And if you&rsquo;re like us, we can offer you the ultimate career opportunity that will light a fire within you.</div><div>
Overview

We are hiring a Senior Data Engineer to support our engineering data initiatives while collaborating with teams across SLC and Pune. The Senior Engineer will work closely with the Lead Engineer and key partners across the organization to execute critical components of our data strategy.

Key Responsibilities
<ul>
<li>Develop, optimize, and maintain data pipelines and data platform components.</li>
</ul><ul><li>Implement solutions supporting data federation, semantic modeling, and data governance frameworks.</li>
</ul><ul><li>Collaborate with Engineering, Analytics, and Product teams to deliver highquality data assets.</li>
</ul><ul><li>Apply AIdriven tools to accelerate development and improve data quality and productivity.</li>
</ul><ul><li>Investigate and adopt emerging data technologies aligned with organizational strategy.</li>
</ul><ul><li>Operate independently and deliver consistent results within distributed team environments.</li>
</ul>
Required Technical Background 

<ul>
<li>Strong expertise with Snowflake (highest priority).</li>
</ul><ul><li>Hands-on experience with Kafka, Flink, Spark, and Airflow.</li>
</ul><ul><li>Experience with semantic layers (e.g., Cube).</li>
</ul><ul><li>Experience with federated data layers (e.g., Trino).</li>
</ul><ul><li>Knowledge of distributed systems and modern data engineering patterns.</li>
</ul><ul><li>Proficiency with AI tools supporting data engineering workflows.</li></ul> 


Preferred Qualifications
<ul>
<li>Experience supporting or contributing to largescale data initiatives.</li>
</ul><ul><li>Strong selfdirection, problemsolving abilities, and eagerness to learn new technologies.</li>
</ul><ul><li>Solid communication and collaboration skills across remote teams.</li></ul></div><div> 
About NiCE
NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.</div></div>

Senior Software Engineer,CX – Platform Data

<div><div>Position Purpose:
The Staff Fraud Engineer owns the design, implementation, and evolution of the enterprise fraud prevention technology stack, delivering scalable, real-time defenses across all channels. This role leads the technical strategy and architecture for AI-driven fraud decisioning, integrating best-in-class platforms and advanced analytics to detect and prevent emerging threats. As a hands-on technical leader, the position drives development of high-availability, high-performance fraud systems through direct coding, system design, and optimization. The role partners closely with fraud analysts, investigators, data scientists, and engineers to continuously adapt solutions to new attack vectors, while mentoring peers and championing innovation in fraud prevention technologies. 
Key Responsibilities:<ul><li>
100% Deliver Execution, Plans &amp; Aligns, Develop Others - Design, review and execute solutions to protect the enterprise; Lead, mentor and provide guidance; Facilitate vulnerability management programs across systems, networking and engineering teams; Develop, test, deply and operationalize security monitoring, assessment and response solutions</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position typically reports to Manager or Sr. Manager</li><li>
This position has 0 Direct Reports</li></ul> 
Travel Requirements:<ul><li>
No travel required.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Hands-on experience integrating and implementing fraud prevention platforms such as ThreatMetrix, Ekata, Forter, Kount, or similar.</li><li>
Architectural fluency in data pipelines (Kafka, Spark, ETL frameworks), APIs, and microservices for fraud signal ingestion and scoring.</li><li>
Experience with cloud platforms (AWS, GCP, or Azure) and microservices architecture.</li><li>
Strong knowledge of data structures, AI/ML implementation, and real-time data processing.</li><li>
Proven track record building and operationalizing real-time scoring pipelines for Account Takeover (ATO) and Account Origination (AO) fraud.</li><li>
Expertise in designing scalable fraud decision engines and rule orchestration layers.</li><li>
Strong background in digital fraud mitigation techniques&mdash;including device fingerprinting, IP reputation, velocity/rule checks, and anomaly detection&mdash;ideally in an e-commerce or retail context.</li></ul>
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
8</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Action Oriented</li><li>
Collaborates</li><li>
Drives Engagement</li><li>
Communicates Effectively</li><li>
Customer Focus</li><li>
Drives Results</li><li>
Manages Conflict</li></ul></div> 
Apply End Date: 03/26/2026</div>

Fraud Prevention Staff Engineer (AI & Decision Systems)

<div>Position Purpose:
The Senior Packaging Engineer position will support growth, quality, and productivity initatives to meet defined business needs. Responsibilities include initiating, planning, executing, and controlling packaging projects to deliver departmental strategic objectives. The senior packaging engineer will also participate in cross-functional teams to support new product introductions. Major tasks in this assignment include development of standard operating procedures, definition of packaging quality protocol, and conducting risk assessments to guide business decisions. As a subject matter expert in packaging, this position will also be required to support daily business transactions to resolve packaging deficiencies. The senior packaging engineer will focused on more complex projects with higher risks and business implications. The senior packaging engineer will report directly to the manager of packaging. 
Key Responsibilities:<ul><li>
Provide packaging support for merchant driven new product introductions.</li><li>
Identify, plan, execute, and control packaging projects to deliver strategic business needs for growth, productivity, and quality.</li><li>
Advise and consult on packaging best practices to enhance business performance. Direct corrective
</li><li>actions with service providers and vendors to resolve packaging issues.
</li><li>Deliver training (internally and externally), tailored to the needs of the specific audience.</li><li>
Develop packaging performance protocol and quality assurance standards.</li></ul> 

Direct Manager/Direct Reports:<ul><li>
Typically reports to Manager or Senior Manager, Packaging Engineer</li><li>
No associates report to this role on a permanent basis, but requires the leadership of a work group: assign and review work, train and contribute to performance appraisal (but not hiring, firing or disciplinary action).</li></ul> 

Travel Requirements:<ul><li>
Typically requires overnight travel 20% to 50% of the time.</li></ul> 

Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 

Working Conditions:<ul><li>
Typically in a comfortable environment but with regular exposure to factors such as temperature extremes, moving machinery, loud noise, and fumes which cause noticeable discomfort or a moderate risk of accident or illness.
</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 

Preferred Qualifications:<ul><li>
Bachelors degree in packaging engineering</li><li>
Desire advanced certifications (Project Management Professional, 6 Sigma, or
</li><li>Certified Packaging Professional)
</li><li>Operational experience in a manufacturing or engineering environment</li><li>
Computer skills sufficient to retrieve, manipulate, analyze, interpret, and present data</li><li>
Excellent communication skills required. Need to clearly articulate packaging and process concepts to business community through written and oral presentations.</li></ul> 

Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 

Preferred Education:<ul><li>
No additional education</li></ul> 

Minimum Years of Work Experience:<ul><li>
4</li></ul> 

Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 

Minimum Leadership Experience:<ul><li>
None</li></ul> 

Preferred Leadership Experience:<ul><li>
None</li></ul> 

Certifications:<ul><li>
None</li></ul> 

Competencies:<ul><li>
Knowledge and experience with packaging physical property test and inspection. - minimum 2 years</li><li>
Experience providing packaging support for consumer new product development - minimum 1 year</li><li>
Engineering standards development / review / enforcement - minimum 2 years</li><li>
Cross functional, multi-project management - min 2 years experience</li></ul></div>

Sr. Packaging Engineer

Cox Automotive

<div>This is a rare blend of strategic and hands-on. you'll partner directly with senior business leaders to shape data strategy while personally owning the end-to-end build of the solution, whether that's a dashboard, a lightweight app, an automation, or a full data product.
 
 
Act as a senior individual contributor serving as trusted strategic advisor to executives and customers, driving business transformation through AI-powered analytics solutions and strategic data products. Own end-to-end product development from market research through delivery and adoption, leveraging Cox Fleet's unique first and 3rd party data to create monetizable industry benchmarks and competitive advantage. Work independently with senior stakeholders to enable organizational divide-and-conquer execution. 
 
What You'll Do 
 
Key Responsibilities 
<ul><li>
Own strategic data products end-to-end from market research and competitive analysis through technical architecture, delivery, and customer adoption</li><li>
Design and build AI-powered products that transform Cox Fleet and customer operations; leverage AI as core product capability to deliver differentiated solutions</li><li>
Work independently with internal/external customers and executives; conduct customer discovery, gather requirements, and inspire decision-makers to adopt bold strategies without requiring direct management oversight</li><li>
Collaborate with Data Solutions leadership and CADS/CAPTG teams to define product roadmaps, prioritization frameworks, and strategic direction; influence technical architecture decisions with enterprise-wide impact</li><li>
Rapidly context-switch across strategic data products, automation solutions, AI implementations, and operational reporting-each requiring different technical stacks and stakeholder management approaches</li><li>
Mentor Managers and Senior Analysts on product thinking, customer engagement, technical architecture, and professional development; model owner mindset and business expertise</li></ul> 

Who You Are
 
 
Required Experience &amp; Expertise 
<ul><li>
Bachelor's degree in related discipline (e.g., Data Science, Data Analytics, Computer Science, etc.) and 8+ years of relevant experience; or an equivalent combination of education and experience (e.g., Master's degree and 6+ years, or PhD and 3+ years, or 12+ years total experience)</li><li>
Expert SQL and data manipulation; strong proficiency with Tableau (preferred) or similar BI platforms; experience with cloud data platforms (Snowflake, Redshift, BigQuery) and infrastructure (AWS, GCP, Azure)</li><li>
Python proficiency for data processing and automation; understanding of AI/ML concepts including model evaluation, feature engineering, and production deployment</li><li>
5+ years strategic-level analytics consulting working directly with senior stakeholders/executives to define initiatives and drive decision-making</li><li>
Proven track record delivering products that create measurable business value; experience conducting market research, competitive analysis, and customer discovery to inform product strategy</li><li>
Exceptional communication skills across technical and business audiences; ability to create compelling executive presentations and translate complex analyses into clear narratives that influence decision-making</li><li>
Comfort working independently with customers and executives without direct management oversight-ability to represent organization with credibility in senior forums</li><li>
Ability to manage complex multi-workstream projects with competing priorities; adaptability to rapidly changing business needs while maintaining quality and strategic focus</li></ul> 

Preferred Experience 
<ul><li>
Automotive/fleet management experience</li><li>
Experience with upply/demand matching algorithms or optimization problems; monetizable data products or industry benchmarks; mobile workforce or field service operations</li><li>
Experience creating AI-powered analytics products in production environments.</li></ul> 

Core Competencies (Advanced Level) 
<ul><li>
Drive for Results: High standards and self-excellence; takes ownership of complex enterprise-wide initiatives with urgency while maintaining strategic perspective</li><li>
Customer Focus: Acts as trusted advisor; anticipates customer needs and shapes product strategy; balances immediate requests with long-term vision</li><li>
Analytical Thinking: Applies sophisticated techniques to ambiguous problems; designs methodologies leverageable across use cases; identifies patterns others miss</li><li>
Business Acumen: Deep industry understanding; links technical solutions to business outcomes; articulates ROI and strategic positioning; identifies revenue opportunities</li><li>
Consulting &amp; Influence: Engages C-suite stakeholders; shapes thinking and inspires bold strategies; builds consensus across competing priorities; drives organizational change</li><li>
Innovation &amp; Technology Leadership: Stays current on emerging technologies; implements cutting-edge solutions that create competitive advantage; influences enterprise architecture</li><li>
Multi-Domain Expertise: Operates across strategic analytics, product development, AI implementation, and automation; applies appropriate frameworks while maintaining cohesive vision</li></ul> 

What's In It For You
 
 
Here's a sneak peek of the benefits at your disposal as a Cox employee: 
<ul><li>
A competitive salary and top-notch bonus/incentive plans.</li><li>
Exceptional work-life balance, flexible time-off policies and accommodating work schedules.</li><li>
Comprehensive healthcare, with multiple options for individuals and families.</li><li>
Generous 401(k) retirement plans with up to 8% company match.</li><li>
Mental health support, including counseling and access to virtual wellness resources such as CALM.</li><li>
Access to Care.com, with up to 10 days of subsidized care for children, seniors and pets.</li></ul> 
Check out all our benefits. 
 
USD 122,600.00 - 204,400.00 per year 
 
Compensation: 
 
Compensation includes a base salary in the range of $122,600.00 - $204,400.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program. 
 
Benefits: 
 
The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.</div>

Business Intelligence Senior Manager

<div>Position Purpose: 
Online Data Architect teams at The Home Depot coordinate with key stakeholders to determine data collection needs and write technical specs to support the translation of business requirements into databases, data warehouses, and data streams.
They work closely with engineers to ensure the internal customer&rsquo;s data needs are captured. They analyze, plan, and define data architecture framework, including security, reference data, metadata, and master data. Data Architects create and implement data management processes and procedures to ensure accuracy and accessibility. 
 
Key Responsibilities:<ul><li>
20% - Business Collaboration - Leverage extensive business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Partner with Other Orgs to understand potential for new tools and ways to maintain technical agility for advanced analytics.</li><li>
25% - Project Management &amp; Team Support - Lead and manage large and complex projects and teams; Provide direction on prioritization of work and ensure quality of work; Collaborate with managers and team in the distribution of workload and resources; Serve as a technical subject matter expert (SME) on both predictive and prescriptive analytics; Drive effective Agile project delivery protocols to assure we gather and surface reliable, actionable enterprise level analytics ; Ensure the team comprehends and applies the established processes and standards and mentor team on development.</li><li>
30% - Solution Development - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation; Develops solutions to transform data into useful, actionable information.</li><li>
25% - Technical Exploration &amp; Development - Guide and direct project teams in the requirements gathering, design, and development of complex applications/programs; Provide technical education on advanced analytics to analytics community; Drive analytics teams to get matured in predictive and prescriptive analytics.</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This Position typically reports to Senior Manager or Above.</li><li>
This role has 0 direct reports.</li></ul> 
 
Travel Requirements:<ul><li>
Typically requires overnight travel less than 5% to 20% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions, there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be 18 years of age or older.</li><li>
Must be legally permitted to work in the United States.</li><li>
Demonstrate 3 or more of the following:</li><li>
Knowledge on database architecture frameworks</li><li>
Procedures for increasing database accuracy and accessibility</li><li>
How to develop requirements for the business's data needs related to databases, data warehouses, and data streams</li><li>
Knowledge of the business to support stakeholder data needs</li></ul> 
Preferred Qualifications:<ul><li>
Masters in a quantitative field (Analytics, Computer Science, Math, Physics, Statistics, Management, etc.) or relevant work experience</li><li>
Experience writing specs and requirements and configure Adobe Analytics for site tagging</li><li>
Proficient with data tools such as GCP Big Query, Mini Tab, Workfront, or SQL</li><li>
Knowledge of how to support the infrastructure for clickstream data (social media impression data on the marketing side), so teams can pull for data products and insights</li><li>
Experience translating a request into the capturing needs, criteria involved, and variables involved</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a master's degree program or equivalent degree in a field of study related to the job.</li></ul>
Minimum Years of Work Experience:<ul><li>
5</li></ul> 
Preferred Years of Work Experience:<ul><li>
6</li></ul> 
Minimum Leadership Experience:<ul><li>
No previous leadership experience</li></ul> 
Preferred Leadership Experience:<ul><li>
No previous leadership experience</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Action Oriented</li><li>
Collaborates</li><li>
Drives Engagement</li><li>
Communicates Effectively</li><li>
Customer Focus</li><li>
Develops Talent</li><li>
Drives Results</li><li>
Manages Conflict</li></ul></div>

Online Lead Data Architect

Chick-fil-A Corporate

<div>How We Work At Chick-fil-A: Chick-fil-A, Inc. ('Chick-fil-A' or 'the Company') Staff members play a vital role in achieving our strategic goals by developing their skills, fostering inclusive teamwork, and embracing innovation. All Staff are expected to contribute to a compelling future by inspiring and motivating those around them. Growth and development are essential at Chick-fil-A. We want Staff to seek new perspectives and adopt new methods to drive continuous improvement and adaptation to evolving business needs. Lastly, we ask Staff to seek wisdom, expect the best, accept responsibility, respond with courage, and think others first.
 
 
Our Flexible Futures Model offers a healthy mix of working in person and virtually, strengthening key elements of the Chick-fil-A culture by fostering collaboration and community. Overview:

The Principal Data Scientist is a senior individual contributor responsible for defining and leading advanced analytical approaches to complex and ambiguous business problems. This role shapes modeling strategy and technical direction for high-impact analytics initiatives, primarily supporting Restaurant Development while influencing broader enterprise analytics capabilities. 
The role is responsible not only for building models but also for framing analytical problems, defining modeling approaches, and establishing reusable analytical patterns that other data scientists can build upon. The Principal Data Scientist works closely with cross‑functional partners including business stakeholders, data engineers, analysts, and product teams to translate large and complex problems into actionable insights. 
The ideal candidate combines deep expertise in statistical modeling, machine learning, and data analysis with strong problem‑solving and communication skills. This role contributes to high‑impact analytical initiatives and helps elevate analytical practices within project teams while remaining primarily focused on hands‑on modeling and technical delivery.
Responsibilities:

Responsibilities &ndash; Advanced Analytics &amp; Modeling<ul><li>
Define modeling approaches and analytical frameworks for complex or ambiguous problems where established solutions do not yet exist.</li><li>
Apply predictive modeling, forecasting, classification, clustering, and other advanced analytics techniques to large datasets.</li><li>
Explore and integrate diverse data sources including transactional, behavioral, demographic, geospatial, and operational data.</li><li>
Build and validate models using best practices for feature engineering, experimentation, and model evaluation.</li><li>
Translate analytical findings into clear insights and recommendations for business stakeholders.</li></ul> 
Responsibilities &ndash; Technical Contribution<ul><li>
Develop production‑ready analytical models and support their integration into data platforms and business workflows.</li><li>
Identify modeling risks early, including bias, data limitations, drift, and statistical assumptions that could impact model validity.</li><li>
Collaborate with data engineers and analytics teams to ensure data quality, model reliability, and scalable implementation.</li><li>
Contribute to the development of reusable analytical frameworks, code libraries, and modeling workflows.</li><li>
Support the evaluation and selection of appropriate analytical techniques and tools for specific use cases.</li><li>
Document analytical approaches, model assumptions, and results to ensure reproducibility and transparency.</li></ul> 
Responsibilities &ndash; Cross‑Functional Collaboration<ul><li>
Partner with business stakeholders to understand analytical needs and translate business questions into data science solutions.</li><li>
Communicate complex analytical results in a clear and concise manner to both technical and non‑technical audiences.</li><li>
Contribute to cross‑functional analytics initiatives and collaborate with engineering, product, and analytics teams.</li><li>
Provide guidance and knowledge sharing on modeling approaches and analytical methods within project teams.</li></ul>
Required Qualifications (Knowledge, Skills, &amp; Abilities):
<ul><li>6+ years of experience in data science, machine learning, or advanced analytics.</li><li>
Strong understanding of statistical modeling, machine learning algorithms, and predictive analytics.</li><li>
Proficiency in Python and SQL for data analysis and model development.</li><li>
Experience working with large datasets and modern data platforms.</li><li>
Strong problem‑solving, analytical thinking, and communication skills.</li></ul>
Preferred Qualifications (Knowledge, Skills, &amp; Abilities):
<ul><li>8+ years of experience in data science, machine learning, or advanced analytics.</li><li>
Experience with machine learning frameworks such as PyTorch, TensorFlow, or similar tools.</li><li>
Experience with distributed data processing frameworks such as Spark.</li><li>
Exposure to cloud‑based analytics platforms such as AWS, Azure, or GCP.</li><li>
Experience applying advanced analytics techniques such as geospatial analysis, optimization, or network modeling.</li></ul>
Required Years of Experience: 6 Preferred Years of Experience: 8 Travel Requirements: 10% Required Level of Education: Bachelor's Degree Preferred Level of Education: Master's Degree Major/Concentration: Statistics, Computer Science, Applied Mathematics, Data Science, Engineering, or a related quantitative field. Relocation Assistance Provided: No</div>

Data Scientist - New Restaurants

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