Shapely Python Jobs Remote Jobs in Usa

About Us:

At Biz2Credit, we are looking for individuals who are ready to join a dynamic and innovative fintech company on a mission to change the lending landscape for small businesses. Our values of Collaboration, Responsibility, Empowerment, Disruption, Innovation, and Trust guide everything we do, and our purpose of helping small businesses succeed drives us forward.

As a company, we believe that with the right tools and support, small business owners can achieve their dreams, and we're here to make that happen. That's why we're dedicated to developing cutting-edge solutions, like our Biz2X platform, a fully configurable SaaS solution that leverages artificial intelligence and machine learning to make lending more efficient, effective, and accessible.

But we're more than just another FinTech company. We're a team of individuals who bring their unique personalities, backgrounds, and experiences to work every day. We believe that diversity makes us stronger, and that's why we value a culture that is inclusive and supportive. We're looking for people who are excited about the opportunity to make a difference, who want to work in an environment that is both challenging and fun, and who are eager to bring their whole selves to work.

So, if you're someone who is eager to join a company that is making a real impact, who values a positive and inclusive workplace culture, and who is ready to be a part of a team that is changing the lending landscape, we want to hear from you. Come join us and be a part of something truly special at Biz2Credit.

About the Role

Biz2Credit is launching a new small-business credit card, and we are hiring a Director Fraud Risk to build and scale the risk engine that powers the product. This role sits within the Risk organization and focuses on designing and executing the fraud and credit strategies required to safely grow a new card portfolio.

You will own fraud and credit risk strategy across the full lifecycle, partner with Data Science on model development, work with product and engineering to implement rules and logic, and collaborate with vendors who support fraud detection, identity verification, and credit decisioning. This is a hands-on, analytics-driven role for someone who has built or scaled card risk systems before.

Key Responsibilities

Fraud Risk Strategy & Analytics

• Develop and manage fraud strategies across the full credit card lifecycle: KYC, KYB, onboarding, transaction monitoring, disputes, and chargebacks
• Build and optimize fraud rules, signals, and decisioning logic
• Partner with Data Science to develop or enhance fraud models
• Monitor fraud KPIs, emerging patterns, and loss trends to adjust strategy
• Work with fraud vendors and platforms to implement rules, workflows, and detection capabilities

Credit Risk Strategy & Analytics

• Own credit line assignment, credit line increases (CLI), credit line decreases (CLD), and ongoing credit monitoring
• Develop and refine credit risk segmentation, cutoffs, and exposure strategies
• Partner with Data Science online assignment models and credit risk models
• Build dashboards and analytics to track credit performance, delinquencies, and portfolio trends
• Continuously optimize credit policies to balance growth and risk

Card Program Buildout & Scaling

• Contribute to building the fraud and credit risk foundation for a new credit card program
• Support scaling of the portfolio through iterative strategy, analytics, and model improvements
• Ensure risk systems, rules, and logic are implemented correctly across product, engineering, and vendor platforms

Cross‑Functional Collaboration

• Work closely with product, engineering, operations, and external vendors to launch and scale long duration programs
• Translate risk strategy into technical requirements for implementation
• Partner with compliance teams as needed; deep expertise not required, but familiarity with Reg Z, Reg B, FCRA, and UDAAP is helpful

Qualifications

• 5–10+ years of experience in credit card fraud risk, credit risk, risk analytics, or risk modeling
• Hands‑on experience with fraud lifecycle management: KYC, KYB, onboarding, transaction monitoring, disputes, chargebacks
• Experience with credit line strategy: limit assignment, CLI, CLD, and credit monitoring
• Strong analytics background; proficiency in SQL required, Python preferred
• Experience working with fraud and/or credit risk vendors and platforms (e.g., decision engines, fraud tools, KYC/KYB providers)
• Experience building or scaling risk strategies for a credit card program
• Ability to work cross functionally with product, engineering, data science, and vendors
• Familiarity with compliance requirements for credit cards; ability to partner with compliance teams

Who Thrives in This Role

• Someone who has built or scaled a credit card risk engine
• A fraud + credit strategist who is equally comfortable with rules, analytics, and models
• A hands-on operator who can design strategy and also dig into SQL
• Someone who enjoys cross-functional execution and long-term program building
• A risk expert who wants to shape the foundation of a new card product

8116 - Midtown Office - 2220 W. Broad Street, Richmond, Virginia, 23220

CarMax, the way your career should be!

Launch your career as a Strategy Analyst at CarMax. This role offers the opportunity to make meaningful contributions from day one, to build deep functional expertise in a critical area of our business, and to develop skills in analytics, strategy, and influence that will drive your career forward.

About Strategy at CarMax

CarMax operates one of the most complex retail and supply chain operations in the country as we sell over a million vehicles to our retail and wholesale customers a year, while serving millions of customers across 250+ locations and digital channels. Our Strategy teams tackle the key questions that define our business: Which vehicles should we acquire and from what channels? How do we efficiently move and recondition millions of cars? How do we allocate inventory across our network? How do we create seamless omnichannel experiences as customers shop online, via phone, and in stores? Our analysts partner closely with Product, Technology, and Operations leaders to answer these questions, driving both operational excellence and strategic innovation.

The Role:

• Analyze - Use your analytic skills to work with CarMax’s industry-leading data while solving unique business challenges. Create insights that drive our success and industry innovation
• Collaborate & Influence – Partner with leaders across the organization to deploy insights and shape strategies. Use presentation and communication skills to share analytic findings and effect positive change
• Learn & Grow - Tackle diverse business problems. Benefit from training & experiences that enhance both technical (e.g., coding, analytic methods) and soft skills (e.g., communication, storytelling)
• Contribute to our Community - Join a vibrant community of over 200 full-time analysts from diverse backgrounds. Build friendships and professional relationships that will enrich your experience and contribute to your future success.

Our Values:

Our analysts address important business opportunities, embodying CarMax’s four core values while bringing analytic solutions to life:

• Do the Right Thing: We uphold a culture of integrity, promoting a respectful and inclusive work environment.
• Put People First: We prioritize associate development, healthy work culture & ensuring a great experience for our customers.
• Win Together: Teamwork is key; we learn from each other and value diverse perspectives.
• Go for Greatness: We strive for continuous improvement, enhancing our skills and the products we create & solidifying CarMax’s industry leadership.

Core Competencies:

• Practical experience (coursework, projects, research, internships)
• Enthusiasm for growth, development, and learning
• Curiosity and critical thinking skills
• Passion for problem-solving and leadership development
• Proactivity and commitment to delivering results
• Dedication to continuous improvement and innovation

Requirements:

• Bachelor’s Degree required, in an analytical/quantitative major preferred
• 0-2 years of experience in an analytical role
• Proficiency with computers and database systems and/or software packages preferred (ex. SQL, Snowflake, Python, Tableau, PowerBI, Microsoft Suite)
• Excellent verbal, written, and interpersonal skills

Work Authorization:

Applicants must be currently authorized to work in the United States on a full-time basis. Sponsorship will not be considered for this specific role.

Work Location and Arrangement: This role will be based out of the CarMax Technology Innovation Center (Richmond, VA) and associates will work onsite 5 days per week.

About CarMax:

CarMax disrupted the auto industry by delivering the honest, transparent, and high-integrity experience customers want and deserve. This innovative thinking around the way cars are bought and sold has helped us become the nation’s largest retailer of used cars, with over 250 locations nationwide.

Our amazing team of more than 25,000 associates work together to deliver iconic customer experiences. Along the way, we help every associate grow their career and achieve their best, at work and in their community. We are recognized for our commitment to training and diversity and are one of the FORTUNE 100 Best Companies to Work For®.

Upon an applicant's request, CarMax will consider reasonable accommodation to complete the CarMax Job Application.

Manager of Analytics

LENDING | ORIGINATIONS STRATEGY | CREDIT PERFORMANCE | DECISION ANALYTICS

Chicago, IL (Hybrid)

$115,000 – $130,000 + Bonus + Benefits

Are you an analytically sharp professional looking to own core lending strategy?

A growing financial services organization is hiring a Manager of Analytics to help shape originations strategy, from who to market to, to who progresses through underwriting, to how performance is monitored across the lending lifecycle.

This is a high-impact, cross-functional role where you will work across Credit, Sales, Operations, and Leadership to deliver insights that directly influence approval strategy, risk performance, and profitability.

The Role

As Manager of Analytics, you will sit within the Credit & Analytics function and play a key role in evolving credit acquisition and decision strategy.

You will analyze applicant and portfolio performance, evaluate underwriting or rule changes, and assess how strategic adjustments impact approval rates, risk exposure, and unit economics.

Key Responsibilities

• Analyze acquisition and approval performance across the lending funnel
• Evaluate the impact of underwriting or policy changes on portfolio risk and profitability
• Monitor early risk indicators and performance trends across originated accounts
• Develop KPIs and dashboards to track originations health and commercial outcomes
• Partner with model development teams on scorecards and decision strategies
• Collaborate cross-functionally with Sales, Operations, and Legal on strategic initiatives
• Present insights and recommendations to senior leadership

Your Skills & Experience

You will thrive in this role if you combine strong technical analytics with a commercial understanding of lending economics.

Essential

• 3 to 7 years of experience in credit analytics, lending strategy, or risk analytics
• Strong SQL proficiency and experience working with large datasets
• Experience with BI tools such as Tableau or Power BI
• Clear understanding of lending economics and risk trade-offs
• Experience analyzing customer acquisition, segmentation, or lifecycle performance
• Strong communication and stakeholder management skills

Preferred

• Experience working with underwriting models or credit decision systems
• Python or R experience
• Background in consumer lending or financial services

Benefits

Competitive salary plus annual bonus

Comprehensive medical, dental, and vision coverage

Hybrid working model

401(k) match with immediate vesting

Clear progression within a growing, analytics-driven lending organization

Senior Interactive Experience Developer / Creative Coder

Location: Portland, Oregon | Hybrid (3 days in office)

Tandem Talent is partnering with an innovative, globally active creative technology company to recruit a Senior Interactive Experience Developer / Creative Coder. This role is ideal for a developer who enjoys combining strong programming skills with creativity to build immersive digital experiences that exist beyond traditional screens.

You will collaborate with designers, UX strategists, and fellow developers to create interactive environments used in corporate spaces, museums, universities, sports venues, and cultural institutions worldwide. The work focuses on developing experiences that blend digital and physical environments through interactive displays, sensing technologies, and responsive systems.

This is an opportunity to work with advanced technology while helping bring ambitious creative concepts to life in real-world environments.

The Role

As a Senior Interactive Experience Developer, you will play a key role in designing and building innovative front-end and interactive systems. You will work closely with multidisciplinary teams to develop engaging experiences, prototype new ideas, and help shape technical best practices.

Key responsibilities include:

• Leading front-end development for client projects and internal innovation initiatives
• Experimenting with emerging technologies and frameworks to create new digital experiences
• Defining and maintaining coding standards and development best practices
• Mentoring junior developers and supporting collaborative problem-solving
• Conducting project reviews to ensure technical performance and creative quality
• Producing documentation that supports both technical and non-technical stakeholders
• Working within development tools including Atlassian, GitHub, MS Teams, Visual Studio, and Figma
• Supporting installations and client projects, including occasional travel for site visits (approximately 2–3 per year)

What We’re Looking For

The ideal candidate combines strong programming capability with an interest in creative technology and immersive environments.

Required experience:

• Strong programming foundation with experience in creative coding and visual development
• Experience with digital creation platforms such as TouchDesigner, Notch, Pixera, Unreal, or Unity
• Programming experience with languages and APIs including Qt/QML, JavaScript (Three.js, WebGL, Canvas), Python, or Unreal Blueprint/C++
• Strong browser-based development experience, particularly building creative in-browser experiences
• Portfolio demonstrating engaging digital work beyond standard web applications
• Graphics programming experience using OpenGL/GLSL, Vulkan, or DirectX and understanding of the graphics pipeline
• Experience using Git/GitHub for collaborative development
• Experience designing touch interfaces or other natural user interaction systems
• Ability to rapidly prototype concepts and develop them into production-ready code
• Understanding of UX principles and how technical decisions influence user experience
• Strong communication and collaboration skills across technical and non-technical teams
• Curiosity, creativity, and enthusiasm for exploring new technologies

Desirable experience:

• Experience working with interactive hardware, sensors, or immersive technologies.

The Opportunity

This position offers the chance to work on highly creative and technically challenging projects that reach audiences globally. Developers in this team build experiences that appear on interactive display walls, projection-mapped environments, and sensor-driven installations that respond to people and environments in real time.

You will be working within a collaborative, multidisciplinary team where ideas are encouraged and technical experimentation is part of the culture.

Location

Hybrid role based in Portland, Oregon, with three days per week in the office.

Please note that visa sponsorship is not available for this position.

If you are interested in combining technical expertise with creative problem solving to build immersive digital experiences, Tandem Talent would be pleased to hear from you.

Purpose

As a foundational member of our AI Center of Excellence, you will serve as the data science lead for enterprise AI initiatives, architecting and deploying AI solutions that make a meaningful impact across our national retail footprint. The Data Scientist Lead will work with other members of the AI COE and business leadership to identify and execute the highest-impact initiatives, own the data science lifecycle, from hypothesis and feature engineering to model validation and performance monitoring; bridging the gap between cutting-edge AI capabilities and practical business applications.

This role requires a rare blend of deep technical mastery and sharp business acumen, to translate complex data into actionable insights and intelligent systems that enhance customer experience, optimize commercial operations, and enable smarter decision-making at scale. The ideal candidate is passionate about retail innovation, thrives in ambiguity, and is energized by the opportunity to shape AI strategy from the ground up.

You’ll Be Successful With

• Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field. Master's degree preferred.
• 5+ years in Data Science or Applied AI roles, preferably in retail or a customer-facing industry.
• Proven track record of moving models from development into production which deliver measurable impact to the business.
• Expert proficiency in Python and SQL. Comfortable with version control.
• Expertise in supervised/unsupervised learning and modern frameworks (e.g. scikit-learn, PyTorch, or TensorFlow).
• Hands-on experience building with LLMs, RAG architectures, prompt engineering, or AI agent development.
• Experience deploying and monitoring models at scale. Familiar with cloud data platforms (e.g. Databricks or Snowflake) and cloud infrastructure (Azure experience a plus).
• You understand how to apply AI to commercial problems such as demand forecasting, customer- and associate- facing applications, personalization, labor optimization, etc.
• The ability to translate "black box" model outputs into clear, actionable insights for business leadership.
• Proven ability to communicate complex technical concepts to non-technical stakeholders and influence decision-making through data-driven storytelling.
• Strong intellectual curiosity with a bias toward action and continuous improvement.
• Demonstrated ability to work autonomously while collaborating effectively within cross-functional teams.

Your Day Consists Of

• Buy vs Build leadership. Evaluate 3rd-party AI platforms and partnerships. Serve as the technical lead in vetting vendor methodologies, guiding the in-house vs external decisioning.
• Partner with business leadership to identify high-value AI opportunities, defining technical specifications and success metrics that align with enterprise strategy.
• Design, develop, and deploy custom machine learning models (impacting merchandising, commercial, labor, digital, etc.) within the Databricks environment.
• Lead experimentation design, including A/B testing and causal inference, to validate model performance and measure true incremental business lift (ROI).
• Collaborate with data engineers on feature development and with AI developers to wrap models into production-grade APIs and applications.
• Partner closely with the Customer Insights team to ensure model outputs are optimized for consumption within Power BI/DAX, turning complex predictions into actionable insights.
• Establish and enforce MLOps standards across the org, including model versioning, automated retraining, and drift monitoring.
• Serve as the primary ML subject matter expert for the broader Data Science & Insights team. Provide active coaching to analytics leaders, empowering them to identify ML-applicable use cases and effectively incorporate predictive outputs into their own functional workstreams.
• Contribute to the enterprise AI governance framework, ensuring ethical AI practices, data privacy compliance, and model transparency.
• Present findings, recommendations, and project updates to leadership and cross-functional partners in clear, compelling formats.
• Be compliant with all appropriate privacy and security protocols.

Working Conditions (travel, hours, environment)

• Limited travel required including air and car travel
• While performing the duties of this job, the employee is occasionally exposed to a warehouse environment and moving vehicles. The noise level in the work environment is typically quiet to moderate.

Physical/Sensory Requirements

Sedentary Work – Ability to exert 10 - 20 pounds of force occasionally, and/or negligible amount of force frequently to lift, carry, push, pull or otherwise move objects. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time.

Benefits & Rewards

• Bonus opportunities at every level
• Non-traditional retail hours (we close at 7p!)
• Career advancement opportunities
• Relocation opportunities across the country
• 401k with discretionary company match
• Employee Stock Purchase Plan
• Referral Bonus Program
• 80 hrs. annualized paid vacation (full-time associates)
• 4 paid holidays per year (full-time hourly store associates only)
• 1 paid personal holiday of associate’s choice and Volunteer Time Off program
• Medical, Dental, Vision, Life and other Insurance Plans (subject to eligibility criteria)

Equal Employment Opportunity

Floor & Decor provides equal employment opportunities to all associates and applicants without regard to age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, disability, veteran status, genetic information, ethnicity, citizenship, or any other category protected by law.

This policy applies to all areas of employment, including recruitment, testing, screening, hiring, selection for training, upgrading, transfer, demotion, layoff, discipline, termination, compensation, benefits and all other privileges, terms and conditions of employment. This policy and the law prohibit employment discrimination against any associate or applicant on the basis of any legally protected status outlined above.

The Marketing Insights team serves as stewards and strategic partners for brand and product marketing insights. They leverage deep consumer and brand understanding to support long-term growth goals and ensure that marketing and product strategies resonate with key audiences.

A senior Marketing Insights Researcher (contract) is needed to support product marketing insights and go-to-market strategy. This role sits at the intersection of product development, AI strategy, and brand growth, supporting high-priority initiatives across digital products and services.

The ideal candidate will operate as a strategic partner to Product, Brand, and cross-functional teams, bringing clarity to complex problems and translating consumer and product insights into actionable strategy. This person should be equally passionate about the work that comes before and after research as the research itself—scoping the right questions, integrating product usage data with user research and other inputs, and ensuring insights reach the right stakeholders at the right time.

Resilience, flexibility, and comfort with ambiguity are essential. While the majority of the work will focus on product-related insights, this researcher should also be comfortable with brand thinking and understand how product interactions shape broader brand perceptions. The role requires balancing strategic vision with hands-on execution.

The successful candidate will deliver insights that inform both near-term launches and long-term brand health while regularly partnering with stakeholders, leadership, and cross-functional teams.

• Serve as the primary insights partner for high-visibility product launches, ensuring research findings directly inform go-to-market and brand strategy

• Translate key business questions into holistic learning plans; manage competing priorities and evaluate research requests to ensure the right questions are being addressed

• Design and execute high-impact quantitative and qualitative research including foundational audience understanding, campaign development for product launches, creative and message testing, and go-to-market evaluation

• Analyze, integrate, and synthesize product usage data, user research findings, and other inputs to build coherent, data-backed strategic recommendations

• Partner with User Research, Data Science, and Marketing Analytics teams across planning, execution, and measurement to maximize the impact of marketing and product investments through comprehensive learning frameworks

• Influence decision-making, go-to-market planning, and goal-setting through clear communication with stakeholders at all levels, including leadership

• Proactively identify and scope new research opportunities and potential risks, helping teams navigate ambiguity and solve undefined problems

• Leverage and champion AI-powered research methodologies to accelerate insight generation, research delivery, and innovation in marketing measurement
  
  KEY SUCCESS FACTORS

• 8+ years of experience in market research, consumer insights, or strategic consulting

• Experience designing and executing both quantitative and qualitative research programs

• Proven ability to translate complex research into clear strategic recommendations that drive business outcomes

• Experience working closely with marketing or product teams, with a track record of influencing strategy and decision-making

• Experience synthesizing information from multiple sources to build holistic and compelling strategies

• Experience solving both undefined and well-defined business problems using appropriate research methodologies

• Strong analytical skills with experience in data analysis tools (e.g., SPSS, R, Python, SQL)

• Experience with survey design and programming tools (e.g., Qualtrics, SurveyMonkey)

• Excellent communication and presentation skills with demonstrated ability to influence senior stakeholders

• Experience in brand building, brand strategy development, and product marketing

• Experience with AI products, features, or technology marketing

• Experience in consumer technology, digital media, or entertainment-related industries

• Experience collaborating with User Research, Data Science, and cross-functional product teams

• Familiarity with brand health measurement, tracking studies, and preference research

• High fluency in AI-powered research tools and agentic workflows

• Master’s or PhD in a relevant field (marketing, psychology, communications, social sciences, statistics)
  

Information collected and processed through your application with INSPYR Solutions (including any job applications you choose to submit) is subject to INSPYR Solutions’ Privacy Policy and INSPYR Solutions’ AI and Automated Employment Decision Tool Policy: By submitting an application, you are consenting to being contacted by INSPYR Solutions through phone, email, or text.

Job Title: Director of Analytics & Insights (Amazon Agency)

Location: Milwaukee, WI

Alternate location: Or home based anywhere in the US

Industry: Ecommerce (Amazon Agency)

Channel: Mostly Amazon and

Direct Reports: Team of 5-6 Analysts

Visa: No sponsorship possible. Must have valid work authorization

Job ID: ZR_9557_JOB

Remote work policy: Full remote

Job Seniority: Executive Level, Middle Management Level

Company size: Medium (50-1000 ppl)

Company Ownership: Privately Owned

Industry(ies): Ecommerce, Consumer Goods,

Function(s): eCommerce,

Region(s): Arizona, Atlanta, Boston, Chicago, Cincinnati, Las Vegas, Los Angeles Area, New Orleans, NORTH AMERICA, USA, Dallas, California, Fort Lauderdale / West Palm Beach, Houston, Colorado, Connecticut, San Francisco Area, Florida, Miami, Georgia, Illinois, Louisiana, Massachusetts, Michigan, Minnesota, Nevada, New Jersey, New York City area, North Carolina, Ohio, Pennsylvania, Texas, Utah, Washington DC, Maryland, Delaware, Washington

Company Description

Our client is a well-established ecommerce services organization that supports brands in building and scaling their presence across major online marketplaces (Amazon and mostly). With a long-standing track record in digital commerce, the firm provides strategic and operational support spanning retail, media, creative and performance enablement. Its environment is collaborative, entrepreneurial and data-driven, with a strong emphasis on translating complexity into clear business value.

Objective of the Role

Our client is seeking a Director of Analytics & Insights to lead the strategic development of its measurement and insights capability. This individual will define how performance is measured, interpreted and communicated across client engagements, with a particular focus on ecommerce, digital advertising effectiveness and broader brand growth.

The role is designed for a senior leader who can combine technical depth with business judgment. The successful candidate will establish a clear vision for analytics and reporting, strengthen the quality of insight generation across the organization, and help create scalable frameworks that enable client teams to translate data into action. This position will also play an important role in shaping how advanced tools, automation and artificial intelligence support a modern analytics function.

Ideal Profile

The ideal candidate will bring a strong background in ecommerce analytics, digital advertising measurement and commercial insight generation, ideally gained within a brand-led environment, an agency, or a similarly complex client-facing business. A deep understanding of marketplace ecosystems is essential, particularly in relation to Amazon advertising, Amazon Marketing Cloud, omnichannel measurement and upper-funnel media effectiveness.

This person should be equally credible in technical and executive settings: capable of engaging with analysts, data partners and technical teams while also presenting clear, actionable conclusions to senior leadership. The right profile will combine strategic thinking, intellectual curiosity, sound judgment and the ability to bring structure to an evolving function.

Responsibilities

• Define and advance the analytics and insights vision for the organization.
• Establish scalable measurement frameworks covering retail performance, advertising effectiveness, brand growth and operational health.
• Lead and develop the analytics team, strengthening capabilities, role clarity and professional growth.
• Create clear standards for reporting, dashboards and insight delivery across client accounts.
• Improve the quality of interpretation by ensuring data is translated into commercial recommendations and action plans.
• Serve as a subject matter expert on advanced ecommerce measurement, including Amazon Marketing Cloud and omnichannel analytics.
• Partner with internal technology and engineering teams to improve data infrastructure, automation and reporting efficiency.
• Evaluate the current operating model and clarify ownership between analytics, reporting and client-facing teams.
• Support the development of advanced analyses that go beyond standard dashboard reporting and provide deeper strategic value.
• Ensure analytical output remains relevant, accurate, decision-oriented and aligned with the evolving needs of clients and the business.

Requirements

• Significant experience in analytics and insights leadership, including team management.
• Strong expertise in digital advertising measurement and ecommerce performance analysis.
• Demonstrated knowledge of Amazon advertising tools, metrics and measurement methodologies, including Amazon Marketing Cloud.
• Familiarity with omnichannel measurement, customer journey analysis and upper-funnel media evaluation.
• Advanced capability in SQL and experience with business intelligence and visualization platforms such as Tableau, Looker or similar tools.
• Working knowledge of statistical or analytical tools such as Python, R or equivalent.
• Ability to design measurement frameworks that connect media investment to broader business outcomes.
• Strong communication skills, with the ability to simplify complex analysis for non-technical audiences.
• Experience operating in a fast-paced, evolving environment with multiple stakeholders.
• Bachelor’s degree required; an advanced degree is advantageous.

Who We Are

At Feetures, movement is our business. And we believe that a meaningful business begins with authentic values—and our values were forged by the bonds of family.

What started as a bold idea around a kitchen table has grown into a fast-moving, purpose-driven brand redefining performance. As a family-owned company in North Carolina, we’re fueled by the belief that better is always possible—and that energy drives both our products and our culture.

Movement is at the heart of everything we do. From our socks to our team and to our communities, we are always pushing forward. If you are ready to grow, challenge the status quo, and help shape the next chapter of a brand that is always in stride, come move with us. Feetures is Meant to Move. Are you?

Role Summary:

The Data Analytics Manager is responsible for owning and optimizing the organization’s end-to-end data ecosystem, ensuring that data infrastructure, governance, and analytics processes effectively support business operations. This role leads the design and management of the data stack—from source system integrations and NetSuite Analytics Warehouse to reporting and business intelligence tools—while establishing strong data governance standards, quality monitoring, and documentation practices. The manager also oversees and mentors analytics team members, prioritizes analytics requests, and coordinates cross-functional data workflows. Acting as the central authority for data reliability and insights, the role ensures consistent metric definitions, scalable data models, and accurate reporting while translating complex data into clear, actionable insights for business stakeholders.

Responsibilities:

Data Architecture & Tooling

• Own the end-to-end data stack — from source system integrations and the NetSuite Analytics Warehouse to downstream reporting layers
• Evaluate, select, and implement tools that improve data accessibility, reliability, and performance
• Ensure alignment between data infrastructure and evolving business needs across distribution operations
• Design and maintain scalable data models, SuiteQL queries, and saved searches within NetSuite

Data Governance & Quality

• Define and enforce data standards, metric definitions, and naming conventions across all business domains
• Establish data ownership, lineage documentation, and access governance policies
• Implement monitoring and alerting for data quality issues across source systems and the warehouse
• Build and maintain a data dictionary that serves as the single source of truth for the organization

Orchestration of Analysts & Systems

• Manage and mentor the Data Analyst and Business Analyst — prioritizing requests, unblocking work, and validating outputs
• Triage and prioritize the analytics request queue in alignment with business stakeholders and IT leadership
• Coordinate cross-functional data workflows and ensure handoffs between systems and analysts are clean and documented
• Serve as the escalation point for data discrepancies, report failures, and analytical questions from the business

Qualifications:

Required

• 3-5 years of experience in data analytics, business intelligence, or data engineering
• 2+ years in a lead or management role overseeing analysts or data team members
• Strong proficiency in SQL; experience with SuiteQL or similar ERP query languages
• Hands-on experience with NetSuite, including Analytics Warehouse, saved searches, and reporting
• Proven track record establishing data governance standards and documentation practices
• Experience integrating and managing multiple data sources across SaaS and ERP platforms
• Demonstrated ability to translate complex data into clear, actionable insights for non-technical stakeholders

Preferred

• Experience in distribution, wholesale, or supply chain environments
• Familiarity with SaaS BI platforms (e.g., Tableau, Power BI, Looker, or embedded analytics)
• Exposure to scripting or automation (JavaScript, Python, or similar) for data workflows
• Background working within IT-led or hybrid IT/Analytics teams

Benefits:

• Health insurance
• Dental insurance
• Vision insurance
• Life & Disability insurance
• 401(K) with company match

Company Paid holidays and PTO:

• Feetures offers 20 PTO Days which are available to you on day one of employment and are available to all employees, no matter your role. After working at Feetures for 5 years, your PTO days will increase to 25 days. Days can be used for vacations, appointments and sick days.
• We offer 10 company paid holidays and 1 floating holiday per year.

Perks:

• Parking provided (Charlotte office and onsite at Hickory office)
• Employee Engagement team
• Monthly stipend to pursue an active lifestyle

Feetures is an Equal Opportunity Employer that welcomes and encourages all applicants to apply regardless of age, race, sex, religion, color, national origin, disability, veteran status, sexual orientation, gender identity and/or expression, marital or parental status, ancestry, citizenship status, pregnancy or other reasons protected by law.

We are looking for a highly motivated AI Engineer to join our IT team. This role is ideal for someone passionate about building real-world AI solutions and eager to work across the full AI technology stack—from model integration and retrieval pipelines to agentic AI workflows, multi-agent orchestration, and application-level features used by business teams. You will also contribute to data engineering efforts that feed AI capabilities, working alongside a modern analytics platform built on Microsoft Fabric.

As an AI Engineer, you will help design, develop, and deploy AI capabilities. You will contribute to production-grade AI features in areas such as Open-to-Buy planning, Sales Forecasting, Intelligent Order Management Systems (OMS), Product Copy Generation, and Image Generation.

This is a unique opportunity to work on meaningful, high-impact AI initiatives while implementing modern AI infrastructure, LLMOps practices, and scalable system design.

This role will work from our Greenwich, CT office and report to the Senior Director of System Integration & Operation on our current hybrid schedule, 3 days in office and 2 days remote.

Key Responsibilities:

AI Application Development

Build and maintain AI-powered features including:

• Open-to-Buy optimization and inventory planning models
• Sales forecasting and demand prediction solutions
• Intelligent OMS features for routing, allocation, and automation
• Marketing AI tools such as product copy generation and AI-assisted image generation

Integrate custom and foundation LLMs into internal applications using API and SDK interfaces, leveraging structured outputs, function/tool calling, and prompt caching to optimize reliability and cost.

RAG, GraphRAG, + Vector DB Engineering

• Develop retrieval pipelines using vector embeddings and similarity search (Azure AI Search, FAISS, Pinecone, or equivalent).
• Implement chunking, embedding, indexing, query routing, and relevance-tuning strategies, including advanced reranking and hybrid search techniques.
• Maintain a high-quality knowledge base to support AI features via Retrieval-Augmented Generation.
• Explore and implement GraphRAG patterns to improve knowledge retrieval over structured enterprise data and entity relationships.

AI Agents & Orchestration

• Design and build AI agents capable of planning, tool use, and multi-step reasoning using frameworks such as LangGraph, PydanticAI, CrewAI, or Google ADK.
• Implement Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocol integrations to connect AI agents with internal tools, APIs, data systems, and other agents in a standardized, interoperable way.
• Build guardrails, evaluation frameworks, and human-in-the-loop checkpoints to ensure reliable and safe agent behavior in production.

AI Infrastructure & System Architecture

• Maintain private cloud LLM instance landscape, ensuring secure and efficient usage.
• Assist in deploying scalable inference pipelines, batching, and caching layers.
• Collaborate with DevOps and Data Engineering on CI/CD, model deployment workflows, monitoring, and integration with the Microsoft Fabric data platform (including Fabric MCP for agent-to-data connectivity).

Data Engineering, Pipelines & Model Training

• Clean, transform, and prepare datasets for ML/AI pipelines; contribute to data engineering workflows including ELT pipeline design, medallion architecture patterns, and data transformation within the Lakehouse layer.
• Train, validate, and fine-tune models where appropriate (LLMs, forecasting models, classification models, etc.); familiar with parameter-efficient techniques such as LoRA and QLoRA.
• Evaluate model performance and optimize latency, accuracy, and cost using LLM evaluation and observability frameworks (e.g., RAGAS, LangSmith, Langfuse, Helicone, or custom evals); manage prompt versioning and regression testing.

Required Qualifications:

• Bachelor’s degree in Computer Science, Data Science, AI/ML, Engineering, or related field.
• Strong foundations in Python, data structures, and machine learning concepts.
• Comfortable working with LLM APIs, embeddings, vector databases, and RAG patterns; exposure to agentic patterns, tool use, and GraphRAG concepts is a strong plus.
• Familiarity with cloud environments (Azure preferred; AWS or GCP also acceptable).
• Understanding of systems diagrams, architecture patterns, and AI infrastructure components.
• Exposure to SQL/NoSQL databases.
• Exposure to data engineering concepts such as ELT/ETL pipelines, data transformation, and data modeling.
• Awareness of responsible AI principles including bias detection, fairness, and model interpretability.
• Awareness of AI agent frameworks and orchestration concepts (e.g., LangGraph, PydanticAI, Semantic Kernel, CrewAI, or Google ADK).
• Familiarity with prompt engineering best practices including chain-of-thought, few-shot prompting, and structured output design.

Preferred Qualifications:

• Familiarity with Microsoft Fabric (OneLake, Lakehouse, Spark notebooks, semantic models) and Power BI; experience with Fabric MCP integrations is a strong differentiator.
• Experience implementing MCP (Model Context Protocol) servers or A2A (Agent-to-Agent) protocol endpoints, or integrating AI agents with external tools and APIs.
• Exposure to multimodal AI capabilities (vision-language models) for applications such as product image analysis or document understanding.
• Experience building small AI apps, demos, or tools—portfolio/GitHub encouraged.

What you'll Gain:

• Hands-on impact in designing enterprise AI capabilities from the ground up.
• Opportunities to work with cutting-edge LLM technologies in a private, secure environment, alongside a modern Microsoft Fabric data platform.
• A chance to shape AI products used across supply chain, marketing, and e-commerce.

Company Overview:

Established in 2005, Marc Fisher Footwear company is a leading full-service, product-driven fashion footwear company with knowledge and expertise in design, sales, sourcing, distribution and marketing – all with dedicated and strategic direction for each brand within the portfolio, which includes GUESS, G by Guess, Nine West, Tommy Hilfiger, Earth, Calvin Klein, Kenneth Cole Men's, Hunter Boots, Rockport, Bandolino, indigo rd., Unisa, and Easy Spirit along with the namesake brands – Marc Fisher and Marc Fisher LTD.

Our diverse portfolio of globally recognized brands – available domestically and internationally via wholesale and retail channels – consistently meets the widest range of consumers’ fashion footwear needs, from classic to contemporary, sport to dress, men’s to women’s. Headquartered in Greenwich, Connecticut, with showrooms in New York City, Marc Fisher Footwear is sold worldwide through department stores, specialty stores and e-commerce channels.

Marc Fisher Footwear is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with a disability. EEO Employer/Vet/Disabled.

The mission of The New York Times is to seek the truth and help people understand the world. That means independent journalism is at the heart of all we do as a company. It's why we have a world-renowned newsroom that sends journalists to report on the ground from nearly 160 countries. It's why we focus deeply on how our readers will experience our journalism, from print to audio to a world-class digital and app destination. And it's why our business strategy centers on making journalism so good that it's worth paying for.

We're looking for a hands-on Director of People Analytics to infuse your passion for complex people data into actionable insights that directly inform enterprise-wide HR and business strategies. You will lead the integration of workforce analyticsincluding recruitment funnel performance, workforce trends, employee listening strategies, and organizational designinto executive decision-making processes.

You will help conduct root cause analyses and recommending targeted interventions. You will synthesize data across systems, connect people metrics to operational outcomes (e.g., job architecture initiative), and shape HR strategy to align with evolving business needs.

Also, you will play an important role in the design and execution of HR analytics projects, process optimization and administrative effectiveness initiatives, helping identify inefficiencies and opportunities for improvement across HR workflow and delivery. You will develop a team focused on increasing automation, building data quality processes and dashboards. You will report to the Vice President, HR Process and People Analytics.

Responsibilities:

• You will leverage Workday data and analytics modules, and other platforms, to strengthen workforce insights.
• You will provide proactive and actionable insights on workforce trends, employee engagement, risks, and opportunities using advanced analytics.
• You will support succession planning, job architecture alignment, compensation planning and organizational design through scenario modeling.
• You will partner with HR, Finance, Legal and Shared Services, Enterprise Tech to ensure data consistency, governance, accessibility and integration across systems.
• You will drive data literacy and cultivate a culture of curiosity, enabling the effective use of analytics in daily operations.
• You will enable HR teams with self-service analytics and reduce manual reporting through automation and scalable tools.
• You will model thought leadership on workforce analytics, staying current on trends, technologies, and best practices.
• You will manage a team effectively and in a collaborative manner, creating a positive work environment.
• Demonstrate support and understanding of our value of journalistic independence and a strong commitment to our mission to seek the truth and help people understand the world.

Basic Qualifications:

• 8+ years of experience in People Analytics, Workforce Planning, or HR Strategy roles
• 7+ years of management experience, including leading cross-functional teams and project management.
• Expertise in Workday reporting and analytics;
• You have strong knowledge of HR processes (talent, culture, performance, retention) and ability to translate them into measurable outcomes.
• Exceptional analytical, problem-solving, and communication skills, with the ability to influence senior leadership.
• You can operate independently, anticipate organizational needs, and manage change in a complex and nuanced environment.
• Demonstrated success in leading analytics initiatives in a global, matrixed environment.
• Ability to manage multiple priorities and deliver high-impact outcomes under tight timelines.
• Strong analytical and modeling skills; experience with data visualization tools, such as Excel, SQL, Python, R, and visualization tools like Power BI or Tableau.

Preferred Qualifications:

• You have familiarity with AI-enabled workforce analytics techniques
• An advanced degree in a related field
• 1+ years of experience with additional HRIS systems, data visualization tools, and advanced analytics techniques

The annual base pay range for this role is between: $180,000 - $200,000 USD

For roles in the U.S., dependent on your role, you may be eligible for variable pay, such as an annual bonus and restricted stock. Benefits may include medical, dental and vision benefits, Flexible Spending Accounts (F.S.A.s), a company-matching 401(k) plan, paid vacation, paid sick days, paid parental leave, tuition reimbursement and professional development programs.

For roles outside of the U.S., information on benefits will be provided during the interview process.