Harnham Careers Jobs in Usa

Senior Applied AI Scientist

Fully Remote - HQ in New York, New York

$190,000-210,000 base salary + equity

THE COMPANY

Harnham is partnering with an innovative health-tech startup building patient-focused agentic AI, multimodal computer vision and LLM applications to advance capabilities in medical claims and medical imaging in hospitals. The AI science team builds scalable, data-driven solutions that personalize user experiences and equip care providers with actionable insights, all while working with large-scale infrastructure and diverse technologies.

THE ROLE

• You will be responsible for computer vision and multimodal model research, building and development for the company's agentic AI product across imaging centers and hospitals
• You will report directly to senior leadership and work closely on technical direction
• Own applied AI research and quickly build into production, particularly focusing on novel AI, computer vision and LLM applications
• You will directly work with production team on implement and design code and build out to production using various machine learning, imaging and LLM techniques, owning machine learning modeling
• You will play an integral role of building out the AI team and scaling out its product
• Act as a thought leader role for AI across the business, mentoring junior team members

YOUR SKILLS AND EXPERIENCE

The successful Senior Applied AI Scientist will likely have the following skills and experience:

• 5+ years of commercial experience preferred with a focus on applied machine learning and computer vision research, building production-grade models with NLP and LLMs ideally with voice, image and multi-modal systems
• Experience working in a scaling startup is preferred
• Expertise in Python (TensorFlow, PyTorch) for production-grade work
• Commercial experience building novel AI platforms with large datasets
• History of working with and managing real-time AI applications in production settings
• Cloud experience in AWS, Azure or GCP
• DevOps exposure with CI/CD pipelines preferred
• History of working on models from concept to production / end-to-end / 0-1
• Applied research background in a commercial setting required
• Publication and/or patent history highly preferred
• Experience in settings wearing multiple hats
• Domain experience in healthcare, health-tech, med-tech or similar a plus; EHR, EMR, claims, HEOR or other medical data exposure highly preferred
• History of partnering with non-technical stakeholders required
• Experience owning projects
• PhD degree in Medical Imaging, Computer Science, Biomedical Imaging or similar

THE BENEFITS

A competitive base salary of $190,000-210,000 + benefits + equity

HOW TO APPLY

Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.

KEYWORDS

Machine Learning | AI | Artificial Intelligence | Technology | Applied Research | Health-tech | Healthcare | Medical | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Voice Bots | Chatbots | Natural Language Processing | EHR | Electronic Health | Electronic Medical | HEOR | Claims Data | Patient | Hospital | Docker | Kubernetes | Weights & Biases | PyTorch | TensorFlow | Publications | Patents | Computer Vision | Medical Imaging | MRI | Multimodal

Senior Analytics Engineer

Location: Northern Indianapolis (Hybrid, 2–3 days onsite)

About the Company

A fast-growing direct-to-consumer ecommerce brand is expanding its analytics capabilities to support continued growth. The team is modernizing its data stack and building scalable infrastructure to enable smarter, faster decisions across the business.

About the Role

The Senior Analytics Engineer will design and maintain data pipelines, models, and dashboards that power key insights for marketing, supply chain, and executive teams. This person will play a central role in the company’s transition to a BigQuery-based data warehouse and Looker for BI.

Key Responsibilities

• Build and manage ETL pipelines using Airbyte and dbt (or similar tools)
• Develop clean, efficient data models in BigQuery
• Create and maintain Looker dashboards for business stakeholders
• Analyze ecommerce and Shopify data to identify opportunities and trends
• Ensure data quality, consistency, and accessibility across systems
• Partner with teams to translate business needs into data solutions

Required Qualifications

• 4+ years of experience in analytics engineering, data engineering, or BI development
• Strong proficiency in SQL, Python, and data modeling (dbt or similar)
• Experience with Looker or another BI tool (e.g., Tableau, Power BI)
• Hands-on experience with BigQuery and PostgreSQL
• Familiarity with modern ETL tools (Airbyte preferred)
• Excellent communication and collaboration skills

Nice to Have

• Ecommerce or Shopify analytics experience
• Exposure to advanced analytics or data science workflows

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

Clinical Data Scientist

Redwood City, CA (Hybrid potentially remote options)

Salary: $150,000-$190,000

No Sponsorship Available

About the Role

We are seeking a Clinical Data Scientist to play a pivotal role in transforming complex clinical datasets into high‑quality, analysis‑ready outputs used to support clinical trials and real‑world evidence initiatives.

In this role, you will operate at the intersection of data science, clinical research, and statistical programming. You’ll be responsible for validating, cleaning, and structuring data originating from multiple sources—including expert manual abstraction teams, AI‑assisted pipelines, EMR feeds, and EDC systems.

You’ll collaborate closely with Clinical Operations, Data Engineering, and AI/ML teams to ensure accuracy, traceability, and compliance across every dataset delivered internally or externally.

This role is ideal for someone who is detail‑obsessed, technically versatile, and passionate about elevating the quality of clinical data used in drug development.

What You’ll Do

• Convert raw, manually abstracted, and AI‑processed datasets into standardized formats (e.g., CDISC SDTM/ADaM) or client‑specific data models.
• Ensure outputs meet quality, compliance, and traceability standards.
• Generate TLFs (Tables, Listings, Figures) for clinical reports and interim analyses using SAS, R, or Python.
• Perform robust data cleaning and QC checks.
• Investigate anomalies and troubleshoot issues across the data pipeline.
• Distinguish between upstream extraction issues and true clinical variations.
• Partner with Data Platform and AI teams to automate cleaning scripts, validations, and workflow logic.
• Serve as an early user and feedback partner for internal data tools.
• Maintain documentation for data derivations, specifications, and validation logic (e.g., Define.xml, Reviewers Guides).
• Support compliance and regulatory submission needs.
• Complete internal and external analysis requests to support clinical insights, client value, and platform performance.
• Apply HIPAA-aligned data safeguards and adhere to best practices across privacy, security, and data governance.

What You Bring

• Education:
• BSc/MSc in Statistics, Mathematics, Computer Science, Life Sciences, or related field.
• Experience:
• 2–5+ years in clinical data science, statistical programming, or data management in pharma/biotech.
• Technical Strengths:
• SAS, R, Python, SQL
• Experience with Git/version control preferred
• Industry Knowledge:
• Familiarity with clinical trial workflows
• Strong understanding of CDISC SDTM/ADaM
• Oncology endpoints (RECIST, survival) and RWD experience is a plus
• Data Wrangling:
• Comfort “stitching together” messy, real‑world clinical datasets
• Experience with unstructured text or NLP outputs is desirable
• Soft Skills:
• Exceptional attention to detail
• Clear, structured communicator
• Proactive, self‑directed, collaborative

**CAN BE HYBRID IN DALLAS, CHICAGO, ATLANTA, NYC, OR FORT WASHINGTON, MD**

Our client is seeking a highly skilled Lead Full Stack Engineer to join our Enterprise Architecture & Engineering team. This is a high-impact role responsible for supporting and enhancing existing web applications while driving innovation through modern cloud and full-stack technologies.

You will lead the design and delivery of scalable, cloud-native solutions using Azure, C#/.NET, React, Next.js, and Node.js, partnering closely with product and senior leadership to shape the technical roadmap.

This role requires deep technical expertise, strong architectural judgment, and proven leadership experience managing distributed (onshore and offshore) engineering teams.

Responsibilities

• Lead the design, development, and ongoing maintenance of full-stack applications using Azure, C#/.NET, React, Next.js, and Node.js
• Provide production support and ensure high availability, performance, and reliability of applications
• Troubleshoot complex production issues and drive durable, long-term solutions
• Architect and implement scalable, secure, cloud-native solutions
• Drive technical evaluations and Proofs of Concept (POCs) for emerging technologies
• Partner with product managers and senior stakeholders to translate business needs into technical solutions
• Establish and enforce architecture standards, coding best practices, and documentation
• Mentor and lead distributed engineering teams to deliver high-quality software on schedule
• Facilitate cross-functional alignment across engineering, product, and business teams
• Maintain architecture diagrams and technical documentation to support knowledge sharing

Required Qualifications

• 8+ years of hands-on software development experience, including experience in a Lead or Senior Full Stack role

Strong expertise in:

• Azure
• C# / .NET
• React and Next.js
• Node.js
• SQL Server and NoSQL databases (e.g., Cosmos DB)
• Solid understanding of microservices and event-driven architectures
• Experience with containerization technologies such as Docker and Azure Service Fabric
• Hands-on experience building and maintaining CI/CD pipelines (Azure DevOps, Jenkins, or similar)
• Strong front-end and back-end fundamentals (JavaScript, HTML5, CSS, REST APIs, database design)
• Knowledge of application and cloud security principles (PKI, cryptography, SSL/TLS, secure protocols)
• Proven experience leading and mentoring onshore/offshore teams
• Excellent communication skills with the ability to influence senior stakeholders

Preferred Qualifications

• Experience deploying large-scale, cloud-native applications on Azure
• Familiarity with Kubernetes or other container orchestration platforms
• Exposure to Python and AI/ML technologies (e.g., Azure Cognitive Services, LangChain, Azure Document Intelligence, Azure OpenAI)
• Understanding of cloud infrastructure and security best practices
• Experience designing and executing technical POCs

Role Overview

This is a senior, enterprise-scale leadership role responsible for architecting and transforming end-to-end supply chain planning from the ground up. The role owns enterprise planning, demand generation, and supply chain systems strategy, serving as the ultimate product and technology leader for planning capabilities.

The mandate includes modernizing and redesigning the digital planning ecosystem, upgrading online systems, and building a scalable, integrated supply chain infrastructure that seamlessly connects manufacturing operations and fabrication facilities (FABs).

This role combines long-term strategy creation with hands-on execution and requires deep technical fluency across supply chain architecture, planning systems, and manufacturing operations.

Core Responsibilities

Enterprise Planning & Demand Ownership

End-to-end ownership of:

• Demand planning and forecasting (market-driven and historical trend analysis)
• Inventory management and optimization
• Supply planning enablement
• Capacity planning aligned with manufacturing expansion
• Order orchestration and development
• Order fulfillment within a complex manufacturing environment

Develop high-quality demand signals by:

• Analyzing market trends, macro signals, and historical data
• Building predictive models to understand supply constraints
• Ensuring accurate forecasts to drive optimal inventory levels
• Aligning demand with what can be realistically manufactured

Sell only what can be built — with clear visibility into availability, lead times, and arrival timelines.

Supply Chain Architecture & System Modernization

• Redesign and modernize the end-to-end supply chain digital ecosystem
• Upgrade and enhance core online planning systems
• Architect planning systems and processes from scratch where required
• Build an internally connected supply chain linking:
• Manufacturing operations
• Fabrication facilities (FABs)
• Distribution and fulfillment networks
• Design scalable systems capable of supporting production volumes in the millions of microprocessing chips
• Develop multi-year technology roadmaps for enterprise planning
• Implement modern planning platforms, automation, AI/ML, and advanced analytics
• Drive ERP-integrated planning transformation and legacy system modernization
• Establish strong data governance and master data integrity

Manufacturing Expansion & Capacity Planning

• Support significant manufacturing footprint expansion, including new plant builds
• Assess how plant expansion impacts future capacity planning and supply constraints
• Develop factory start plans aligned with enterprise demand
• Enable scenario modeling to optimize factory efficiency and investment decisions
• Align planning outputs with long-term financial and operational strategy

Leadership & Organizational Development

• Lead and develop a team of 10–30+ professionals, including senior managers
• Operate as a “leader of leaders,” developing strong sub-leaders
• Define future skill requirements for modern planning organizations
• Establish structured approaches for upskilling and capability transformation
• Drive modernization of processes, governance, and DevSecOps capabilities

This is not a pure people-management role. The successful candidate must be technically credible and capable of challenging architectural decisions and influencing cross-functional technical direction.

Transformation & Change Management

• Lead enterprise-wide supply chain transformation initiatives
• Drive adoption of modern systems and new ways of working
• Act as the bridge between business, IT, operations, and manufacturing
• Ensure strong communication and training strategies across global teams

Harnham is a globally leading recruitment agency in the Data & AI space, and we’re continuing to grow in New York City. We’re now hiring an experienced Account Manager to take ownership of existing accounts where agreements are already in place, with a focus on expanding our footprint and growing revenue across an engaged client base.

This is a brand-new role within our NYC team, offering the opportunity to step into a warm desk with established agreements and build upon it to maximize success.

What You’ll Do:

• Manage and grow existing client accounts with active agreements in place.
• Deepen relationships by understanding client needs and expanding services offered.
• Partner with recruiters to deliver top Data & AI talent to clients.
• Identify cross-sell and up-sell opportunities within current accounts.
• Act as the primary point of contact, ensuring excellent client satisfaction and retention.
• Collaborate with leadership to shape account growth strategies.
• Drive new business development by identifying, pursuing, and securing new client partnerships to expand our portfolio.

What We’re Looking For:

• Proven experience in contract recruitment is a must.
• Strong account management or client services background within recruitment.
• Business development mindset with the ability to expand existing agreements.
• Excellent communication and relationship-building skills.
• Knowledge of Data & AI, tech, or related industries is a plus.
• Entrepreneurial approach and desire to grow within a fast-scaling business.

What We Offer:

• Competitive Base + Commission
• Opportunity to work with an established and engaged client base from day one.
• Career progression in a rapidly growing U.S. office.
• Hybrid working model
• Location: Financial District, NYC.

If you’re an experienced Account Manager with a strong background in contract recruitment, ready to make an impact by owning and expanding key client agreements, this is the opportunity to step into a warm desk and grow with one of the leading names in Data & AI recruitment.

Role Overview

We are seeking a hands-on, high-impact Global Network Director to lead, align, and deliver across a large, distributed global organization.

This leader will operate with a builder mindset — architecting, modernizing, and scaling a global network ecosystem that supports enterprise offices, hyperscale data centers, and private cloud infrastructure.

The role requires a rare combination of deep technical credibility, strategic alignment with executive leadership, and the ability to execute at speed. This is not a maintenance role — it is a transformation mandate.

Scope of Responsibility

Oversight includes:

• Enterprise administration offices
• Global sales offices
• Design offices
• Enterprise data centers
• Hyperscale data center environments
• Private cloud infrastructure with AWS and Azure footprint

You will lead approximately 40–55 professionals across global teams, including internal engineers, support functions, and managed service partners.

Budget ownership and operational accountability are expected at scale.

Core Mandate

• Lead and deliver a global network transformation
• Treat Network as a Product / Network as a Service
• Drive an automation-first infrastructure strategy
• Align network strategy tightly with enterprise vision and business objectives
• Build and evolve teams end-to-end (hire, mentor, scale, optimize)
• Execute both strategic roadmap creation and hands-on architectural oversight

Technical Requirements

Network Architecture

• Deep expertise in spine-leaf architecture (strong preference)
• Experience with Arista or Cisco (leading or participating in Cisco-to-Arista transformation preferred)
• Design and build enterprise and hyperscale data centers from scratch
• Modern network design principles and scalable architectures

Network Engineering & Automation

• Network engineering leadership at enterprise scale
• Strong automation mindset (Terraform / DevOps frameworks)
• Infrastructure-as-Code expertise
• SRE / NRE operational philosophy
• VPN technologies

Network Security

Hands-on experience with:

• Palo Alto
• Fortinet
• CIS Controller or similar security governance platforms

Security architecture must be integrated into network design from day one.

Data Center & Cloud Strategy

• Build and operate modern private cloud infrastructure
• Maintain strong AWS and Azure footprint
• Cloud-agnostic mindset with modern cloud-native mentality
• Lead investments in private data centers as GPU costs and scale requirements increase
• Balance on-prem infrastructure with evolving Software-as-a-Service models

Ideal Background

• Experience in high-growth technology environments preferred
• Proven track record delivering large-scale network and data center transformations
• Experience treating the network as a product rather than a utility
• Strong execution history — not just strategic oversight
• Experience managing significant budgets and large global teams

Candidates from highly traditional environments (e.g., purely finance or healthcare legacy infrastructures) may be less aligned with the transformation mandate.

Leadership Profile

• Builder mentality — energized by creating from scratch
• High energy, delivery-oriented, and hands-on
• Capable of learning, teaching, and scaling teams A–Z
• Strong alignment with executive leadership on strategy and execution
• Long-term ownership mindset

What Success Looks Like

• Fully modernized, automation-first global network
• Successful Cisco-to-Arista transformation
• Scalable private cloud and hyperscale data center capability
• Network operating as a product with strong internal service delivery
• High-performing global team aligned to strategy and execution

Lead Analyst

Austin, TX

Fully On-site

Starting at $150k Base Salary

About the Company

We’re partnering with a fast-paced technology company building advanced autonomous systems. The analytics team plays a critical role evaluating system behavior, integrating simulation and real-world data, and driving key decisions that impact safety and readiness. You’ll lead analytics efforts, help build and shape a team, and deliver high-impact insights used across engineering, product, and operations.

About the Role

We’re seeking a mathematically minded Lead Analyst to join a growing analytics team focused on evaluating complex technology systems. You’ll work with simulation, real-world, and structured datasets to assess system performance, design experiments, define metrics, and deliver actionable insights to stakeholders. This is a hands-on role with leadership opportunities as the team expands.

Responsibilities

• Lead a focus area in autonomous systems evaluation and experimentation.
• Define and build meaningful metrics to quantify system quality.
• Drive analytical frameworks that combine simulation, test, and real-world data.
• Collaborate with engineers and data teams to automate analyses and reporting.
• Mentor and grow analytical contributors.

Qualifications

• 4+ years of experience in analytics for complex tech products
• Strong Python and SQL skills — capable of building data pipelines and experiments.
• Solid statistical understanding and experience with experiment design.
• Proven leadership experience in technical analytics roles.
• Comfortable handling ambiguity and shaping processes in early-stage environments.

Nice-to-Have's:

• Experience in autonomy, robotics, or product quality analytics.

*Must have existing authorization to work in the U.S.*

Senior Credit Risk Associate

Location: Chicago (Hybrid, 3 days per week)

Salary: $115,000 to $130,000 base plus 15 percent bonus paid quarterly

Visa sponsorship not available

A fast-growing, data-driven financial services company is seeking a Senior Credit Risk Associate to join its analytics function and support credit acquisition strategy. This role focuses on making disciplined, data-led credit decisions that balance growth, risk, and regulatory compliance.

This is a strong opportunity for an experienced credit analyst who enjoys combining hands-on analytics with strategic input and cross-functional collaboration.

The Role

The successful candidate will focus on pre-enrollment credit risk strategy and play a key role across the customer lifecycle.

Key responsibilities include:

• Developing and enhancing credit risk strategies across acquisition and early lifecycle stages
• Analysing application data, credit bureau reports, trade lines, and portfolio performance
• Partnering with model development teams on scorecards and machine learning models
• Monitoring early risk indicators and overall portfolio health
• Ensuring compliance with ECOA, FCRA, and UDAAP regulations
• Presenting insights and recommendations to senior stakeholders
• Collaborating closely with sales, operations, and legal teams
• Conducting market and industry research to inform strategy

About You

This role suits someone who is analytically strong, commercially aware, and comfortable influencing decision-making.

Required experience:

• 4+ years of experience in credit analytics, underwriting, or consumer lending
• Strong background in acquisition strategy and credit decisioning
• Advanced SQL skills
• Experience with Python or R preferred
• Familiarity with Tableau, Snowflake, and cloud data environments
• Experience working with credit bureau data, scoring models, and underwriting frameworks
• Background in consumer-facing financial services or lending

Interview Process

• Short SQL-based technical assessment
• Virtual interview with the hiring manager
• Final interview with senior commercial leadership

Why Apply?

• High-impact role within a growing analytics team
• Strong business performance without aggressive headcount expansion
• Clear exposure to senior stakeholders and decision-makers
• Comprehensive benefits including employer-paid healthcare, flexible time off, and a 401(k) with immediate vesting

Senior Data Modeler

Hybrid 3-4 days onsite

Location: Phoenix, Arizona

Salary: $130,000 - $150,000 base

A large, operationally complex organization is undergoing a major modernization of its data platform and is building a new, cloud-native analytics foundation from the ground up. This is a greenfield opportunity for a senior-level data modeler to establish best practices, influence architecture, and help shape how data is organized and used across the business.

This role sits at the center of a multi-year transformation focused on modern analytics, scalable data products, and strong collaboration between data and business teams.

What You'll Be Working On

• Designing and implementing enterprise data models across conceptual, logical, and physical layers
• Establishing Medallion architecture patterns and reusable modeling assets
• Building dimensional and semantic models that support analytics and reporting
• Partnering closely with domain experts and functional leaders to translate business needs into data structures
• Collaborating with data engineers to align models with ELT pipelines and analytics frameworks
• Helping define modeling standards and upskilling senior engineers in modern data modeling practices
• Contributing hands-on to data engineering work where needed (SQL, transformations, optimization)
• Proactively identifying analytics opportunities and recommending data structures to support them

This role is roughly 40% data modeling, 30% hands-on engineering, and 30% cross-functional collaboration.

Must-Have Experience

• Strong, hands-on experience with data modeling (dimensional, canonical, semantic)
• Deep understanding of Medallion architecture
• Advanced SQL and experience working with a modern cloud data warehouse
• Experience with dbt for transformations and modeling
• Hands-on experience in cloud-native data environments (AWS preferred)
• Ability to work directly with business stakeholders and explain technical concepts clearly
• Experience collaborating closely with data engineers on execution

Nice to Have

• Python experience
• Familiarity with Informatica or reverse-engineering legacy data models
• Exposure to streaming or near-real-time data pipelines
• Experience with visualization tools (tool choice is flexible)

Who Will Thrive in This Role

• A senior individual contributor who enjoys building from scratch
• Someone who can act as a modeling expert and mentor in an organization formalizing this practice
• Comfortable working in ambiguity and taking initiative
• Strong communicator who enjoys partnering with both technical and non-technical teams
• Equally comfortable discussing business concepts and physical data models

Why This Role Is Unique

• Greenfield data modeling initiative with real influence
• Opportunity to define standards that will be used across the organization
• Work on large-scale, real-world operational and analytical data
• High visibility within a growing data organization
• Flexible work setup for individual contributors

If you're excited about shaping a modern data foundation and want to be the person who defines how data is modeled, understood, and used, this is a rare opportunity to make a lasting impact.

Staff Data Scientist – Post Sales

Location: San Francisco (Hybrid)

Salary: $200–250k base + RSUs

This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We’re expanding our data science organization to accelerate customer success after the initial sale—driving onboarding, retention, expansion, and long-term revenue growth.

About the Role

As the senior data scientist supporting post-sales teams, you will use advanced analytics, experimentation, and predictive modeling to guide strategy across Customer Success, Account Management, and Renewals. Your insights will help leadership forecast expansion, reduce churn, and identify the levers that unlock sustainable net revenue retention.

Key Responsibilities

• Forecast & Model Growth: Build predictive models for renewal likelihood, expansion potential, churn risk, and customer health scoring.
• Optimize the Customer Journey: Analyze onboarding flows, product adoption patterns, and usage signals to improve activation, engagement, and time-to-value.
• Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of onboarding programs, success initiatives, and pricing changes on retention and expansion.
• Revenue Insights: Partner with Customer Success and Sales to identify high-value accounts, cross-sell opportunities, and early warning signs of churn.
• Cross-Functional Partnership: Collaborate with Product, RevOps, Finance, and Marketing to align post-sales strategies with company growth goals.
• Data Infrastructure Collaboration: Work with Analytics Engineering to define data requirements, maintain data quality, and enable self-serve dashboards for Success and Finance teams.
• Executive Storytelling: Present clear, actionable recommendations to senior leadership that translate complex analysis into strategic decisions.

About You

• Experience: 6+ years in data science or advanced analytics, with a focus on post-sales, customer success, or retention analytics in a B2B SaaS environment.
• Technical Skills: Expert SQL and proficiency in Python or R for statistical modeling, forecasting, and machine learning.
• Domain Knowledge: Deep understanding of SaaS metrics such as net revenue retention (NRR), gross churn, expansion ARR, and customer health scoring.
• Analytical Rigor: Strong background in experimentation design, causal inference, and predictive modeling to inform customer-lifecycle strategy.
• Communication: Exceptional ability to translate data into compelling narratives for executives and cross-functional stakeholders.
• Business Impact: Demonstrated success improving onboarding efficiency, retention rates, or expansion revenue through data-driven initiatives.

Staff Data Scientist – Sales Analytics

Location: San Francisco (Hybrid)

Salary: $200–250k base + RSUs

This fast-growing Series E AI SaaS company is redefining how modern engineering teams build and deploy applications. We’re looking for a Staff Data Scientist to drive Sales and Go-to-Market (GTM) analytics, applying advanced modeling and experimentation to accelerate revenue growth and optimize the full sales funnel.

About the Role

As the senior data scientist supporting Sales and GTM, you will combine statistical modeling, experimentation, and advanced analytics to inform strategy and guide decision-making across our revenue organization. Your work will help leadership understand pipeline health, predict outcomes, and identify the levers that unlock sustainable growth.

Key Responsibilities

• Model the Business: Build forecasting and propensity models for pipeline generation, conversion rates, and revenue projections.
• Optimize the Sales Funnel: Analyze lead scoring, opportunity progression, and deal velocity to recommend improvements in acquisition, qualification, and close rates.
• Experimentation & Causal Analysis: Design and evaluate experiments (A/B tests, uplift modeling) to measure the impact of pricing, incentives, and campaign initiatives.
• Advanced Analytics for GTM: Apply machine learning and statistical techniques to segment accounts, predict churn/expansion, and identify high-value prospects.
• Cross-Functional Partnership: Work closely with Sales, Marketing, RevOps, and Product to influence GTM strategy and ensure data-driven decisions.
• Data Infrastructure Collaboration: Partner with Analytics Engineering to define data requirements, ensure data quality, and enable self-serve reporting.
• Strategic Insights: Present findings to executive leadership, translating complex analyses into actionable recommendations.

About You

• Experience: 6+ years in data science or advanced analytics roles, with significant time spent in B2B SaaS or developer tools environments.
• Technical Depth: Expert in SQL and proficient in Python or R for statistical modeling, forecasting, and machine learning.
• Domain Knowledge: Strong understanding of sales analytics, revenue operations, and product-led growth (PLG) motions.
• Analytical Rigor: Skilled in experimentation design, causal inference, and building predictive models that influence GTM strategy.
• Communication: Exceptional ability to tell a clear story with data and influence senior stakeholders across technical and business teams.
• Business Impact: Proven record of driving measurable improvements in pipeline efficiency, conversion rates, or revenue outcomes.

As the Head of Distributed Order Management, you will define and execute the strategy for modernizing and scaling enterprise-wide order management capabilities. You will lead transformation initiatives that enhance customer order commitment, optimize logistics networks, and improve inventory performance — all while building a future-ready digital architecture.

What You’ll Do

• Define and champion a compelling strategy and multi-year roadmap for Distributed Order Management aligned with enterprise goals
• Own the technology vision, architecture, implementation, and continuous improvement of the DOM platform
• Lead solution discovery workshops and translate complex business challenges into clear, executable outcomes
• Drive modernization initiatives using advanced analytics, AI, machine learning, automation, and emerging technologies
• Architect scalable, foundational systems that deliver quick wins while enabling long-term enterprise growth
• Ensure strong data governance and master data integrity across order management processes
• Partner cross-functionally with operations, logistics, manufacturing, product teams, IT, and senior leadership to align order commitments with business strategy
• Lead change management initiatives to drive adoption through communication, training, and stakeholder engagement
• Build and mentor a high-performing DOM team, defining critical skillsets and driving continuous development
• Oversee vendor relationships and support contract negotiations

Minimum Qualifications

• Bachelor’s degree in Computer Science, Engineering, Supply Chain, Data Science, or related STEM field (Master’s preferred)
• 5+ years of hands-on experience delivering Advanced Order Management solutions end-to-end within the manufacturing industry
• Order processing
• Scheduling
• Sourcing and routing optimization
• Order orchestration and fulfillment

Preferred Qualifications

• Decisive, forward-thinking leader who navigates ambiguity with confidence
• Strong functional expertise in order fulfillment and inventory optimization
• Deep understanding of software architecture and enterprise system design
• Strong knowledge of current and emerging technologies, including AI and automation
• Exceptional analytical and problem-solving skills
• Proven ability to influence stakeholders and drive consensus across functions
• Strong communication, collaboration, and interpersonal skills
• Experience in vendor management and contract negotiations
• Ability to thrive in fast-paced, interrupt-driven environments
• High energy, self-motivated, and committed to fostering a culture of accountability and integrity

Why This Role?

This is an opportunity to shape the future of enterprise order management at scale. You’ll play a pivotal role in improving customer satisfaction, optimizing supply chain performance, and building next-generation capabilities that drive long-term strategic growth.

If you’re ready to lead transformational change and build innovative, scalable solutions that power operational excellence — we’d love to hear from you.

The Senior Manager, Portfolio Analytics & Strategy leads strategy development and advanced analytics supporting the client's Operations and Portfolio Management functions. You will manage a team of Analysts and partner with leaders across Servicing, Legal, Risk, Finance, and Technology to optimize Servicing, pre- and post-charge-off strategy, digital communications, customer treatment models, productivity and loss improvements. This role sits at the intersection of business strategy, customer experience innovation and data science.

You will spend your time

• Leading analytics initiatives across operations to monitor portfolio performance, monitor strategies and recommend process and reporting improvements
• Guiding the formulation of contact and servicing strategies, portfolio segmentation, and channel optimization to evaluate algorithm performance and identify opportunities for continuous improvement.
• Managing and mentoring a high-performing analytics team, providing coaching, feedback, and long-term career development
• Designing and executing champion/challenger strategies and data-driven campaigns to improve customer experience and loss outcomes
• Partnering with cross-functional teams (Operations, Finance, Technology, Legal, Compliance, Product) to develop and implement portfolio and treatment strategies
• Guiding analyst through design, development and deployment of machine learning models across customer treatment, valuation, loss mitigation, and AI-powered decisioning with a hands-on approach
• Exploring and implementing opportunities using Generative AI and Large Language Models (LLMs) to modernize operations in partnership with Technology.
• Communicating clear, actionable recommendations through dashboards, presentations, and storytelling to senior stakeholders

What you will need to succeed

This role is ideal for an innovative analytics leader ready to shape strategy, apply machine learning techniques, and make a visible impact in Servicing. The ideal candidate combines strong technical skills in data analytics, modeling and AI with vast experience in portfolio performance. They are proven team leaders who can recruit, mentor, and develop talent, and they excel at turning insights into decisions that influence senior leadership. Success in this role requires comfort with fast-paced, ambiguous environments, very strong business acumen in collections and servicing, and expertise in data infrastructure, automation, and performance measurement. They should also be skilled in building complex models, explaining business metrics, and teaching others to do the same.

To be eligible

• Bachelor’s degree in a quantitative or business field required; advanced degree (MS, MBA, etc.) strongly preferred
• 5+ years in analytics or strategy, including 2+ years leading teams.
• Experience creating and maintaining data science algorithms in business environments and designing and analyzing statistical tests.
• Deep working knowledge of Python, SQL, and cloud-based platforms (e.g., Azure); GitHub experience a plus
• Strong results focus, project management, & teamwork
• Ability to explain complex concepts and communicate business insights to the team, other managers, with similar and different business backgrounds, and Senior Executives alike.