NEW YORK DATA & AI RECRUITMENT AND STAFFING
OVERVIEW
Data recruitment in New York is an important sector in the city's technology industry. Companies use Harnham's New York Data & AI recruitment team to recruit data professionals because of our company's extensive database of qualified candidates, a wide range of search and selection services, and our ability to provide access to a global talent pool.
With our extensive list of Artificial Intelligence, data engineering, data science, and analytics roles, Harnham can help companies find the right employees for the right roles. Harnham also offers a variety of other services, including job postings, headhunting, and a comprehensive talent database. We also provide access to its network of data professionals, making it easy to find the best talent.
Additionally, Harnham has a wide range of industry-specific resources to help employers make informed decisions about their New York data recruitment needs.
DATA & ANALYTICS RECRUITMENT AND STAFFING
HOW WE DO IT
Just like the Data & Analytics professionals we place, Harnham use tried and tested models in our recruitment processes.
By gaining valuable market knowledge across a range of industries and regions, Harnham is able to provide a service which is second to none within our marketplace.
We have seen unprecedented growth in our specialist sector and always have a wide range of vacancies at both junior and senior level including Data Science jobs, Data Analyst jobs, and Big Data jobs, all available throughout the UK, Germany, France, United States, and the Netherlands
WHAT SETS US APART FROM OTHER NEW YORK DATA & AI RECRUITMENT AGENCIES?
Feedback shows it’s our relationship-building and data industry knowledge.
Harnham is the best Data & AI recruitment company in New York because we have an extensive network of industry contacts, a deep understanding of the technology and analytics market, and a commitment to providing the best possible service to our clients.
Our team is made up of experts in the data industry, with extensive expertise in recruitment, data analysis, and consulting. With this combination of experience and resources, we are well-placed to find the right data talent for any organization.
We provide a comprehensive range of data recruitment services, including executive search, permanent and contract recruitment, and job board advertising, and are passionate about helping our clients find the perfect data professionals to help them succeed.
We are a trusted and long-term partner for all our customers, so if you need to recruit or are looking for your next opportunity, contact us to find out how you can benefit from partnering with the Harnham New York Data & AI Recruitment Team.
JOBS
LATEST NEW YORK
DATA & AI JOBS
Harnham is a specialist Data & AI recruitment business with teams that only focus on niche areas.
Senior Commercial Data Scientist
New York
$150000 - $180000
+ Advanced Analytics & Marketing Insights
PermanentNew York
To Apply for this Job Click Here
Senior Commercial Data Scientist – Consulting | New York | $150,000-$180,000
Location: Midtown Manhattan (Hybrid)
Salary: $150,000-$180,000 +bonus + benefits
Industry: Revenue Growth Consulting
Company: Confidential (via Harnham)
The Opportunity
Harnham is partnering with a confidential consulting firm that helps global organizations drive revenue through advanced analytics. They’re expanding their client-facing Data Science function and hiring a Senior Commercial Data Scientist to join a high-impact, high-visibility team.
This is not a back-office DS role – you’ll sit directly with consulting teams, present to senior stakeholders, and build models that shape sales, marketing, and customer strategy.
What You’ll Work On
- Predictive modeling & ML for revenue growth
- Customer health scoring & churn prediction
- Next-best-offer and spend forecasting
- ICP modeling & commercial segmentation
- Hands-on technical delivery + mentoring junior DS associates
- Partnering with consultants in client meetings and strategy discussions
Why This Role Stands Out
- Client-facing from day one – influence strategy, not just outputs
- High technical depth – build and interpret ML models end-to-end
- Strong career runway – opportunity to move into BD / pre-sales support within ~12 months
- Forward-looking environment – expansion into AI/agentic solutions planned
- Collaborative, meritocratic consulting culture blending DS + commercial consulting
Ideal Background
- 3-7 years in Data Science (commercial, consulting, or client-facing preferred)
- Strong Python skills; ML modeling expertise
- Quant degree (Math, Stats, Econ, CS, etc.); Master’s a plus
- Experience leading junior analysts/associates
- Excellent communication + stakeholder skills
Compensation & Setup
- Base salary: $150,000-$180,000 (DOE)
- Bonus %
- Hybrid in NYC
- Full benefits package
Interested?
Apply directly or reach out to Harnham for more details. This role offers a rare blend of deep technical ownership, client exposure, and strategic impact.
To Apply for this Job Click Here
VP of Data
New York
$250000 - $275000
+ Advanced Analytics & Marketing Insights
PermanentNew York
To Apply for this Job Click Here
VP of Data
Fintech
Hybrid in NYC area
$250,000 – $275,000 base + equity + benefits
THE COMPANY
Harnham is working with an innovative fintech that creates real economies in virtual worlds to help studios and creators embed frictionless payments and digital currencies.
They are looking for a VP of Data who will lead data strategy, owning everything from infrastructure to insights. The mission: turn raw data into a powerful engine for smarter decisions, faster operations, and bold product innovation-while keeping compliance rock solid.
RESPONSIBILITIES
- Own data strategy, roadmap and vision
- Instill data governance practices, driving governance standards for relevant financial regulations
- Lead data architecture – modernizing data ecosystem, warehouse, data lakes, ETL pipelines
- Lead the company’s data and machine learning strategy
- Partner with cross-functional departments and C-suite stakeholders (engineering, product, marketing, advertising)
- Manage data products – build & scale applications to automate processes
- Oversee business intelligence function – driving insights, dashboards and reports
SKILLS AND EXPERIENCE
- 10+ years in data roles, including 3+ years in leadership (VP/Director).
- Proven success in FinTech, payments, or regulated financial services.
- Expertise in data governance, quality, and risk management.
- Cloud data warehouses (Snowflake, BigQuery, Redshift).
- ETL/ELT, orchestration tools (Airflow, dbt), CI/CD for pipelines.
- BI tools (Looker, Tableau, Metabase), SQL & Python.
- AWS data stack (Redshift, Glue, S3) and Terraform.
Bonus
- Experience in crypto or gaming industries.
- Degree in Computer Science, Statistics, or related field.
BENEFITS
The compensation package contains a base salary, equity and a comprehensive benefits package.
HOW TO APPLY
Please register your interest by sending your CV via the Apply link on this page.
KEY TERMS
Data Science | Business Intelligence | BI | Engineering | Fintech | Production | Real Time | Gaming | Regulation | Python | Compliance | Regulatory | Startup | Executive | Data Governance | Data Architecture | Artificial Intelligence
To Apply for this Job Click Here
Consulting Data Engineer (Remote)
New York
$75 - $95
+ Data Engineering
ContractNew York
To Apply for this Job Click Here
Consulting Data Engineer – Professional Services
As a Consulting Data Engineer, you’ll be at the forefront of helping enterprises transform how they manage and leverage big data and AI. In this role, you’ll partner with clients to help design modern data architectures, guide migrations, and enable advanced analytics solutions that drive real business outcomes.
You won’t just deliver technology, you’ll deliver innovation. You’ll help organizations turn data into actionable insights. If you thrive in dynamic environments, love solving complex challenges, and want to make a measurable impact, this is the role for you.
What You’ll Do
- Lead high-impact projects that enable clients to modernize their data platforms and accelerate AI adoption.
- Design and implement scalable, cloud-based architectures that power advanced analytics and machine learning.
- Collaborate with technical teams and business stakeholders to ensure seamless delivery and measurable success.
- Act as a trusted advisor, guiding clients through migrations, deployments, and best practices for big data and AI.
- Share insights and feedback to continuously improve solutions and shape the future of data innovation.
What We’re Looking For
- 6+ years of experience in data engineering, analytics, or cloud architecture.
- Strong coding skills in Python or Scala.
- Expertise in at least one major cloud platform (AWS, Azure, or GCP) and familiarity with others.
- Deep knowledge of distributed computing frameworks (e.g., Apache Spark).
- Experience with CI/CD, MLOps, and designing end-to-end data solutions.
- Databricks experience is a *MUST*.
- Exceptional communication and problem-solving skills.
This is a Contract Role. The initial term will be six months, with a strong possibility for extension, and the workload will be 40 hours per week.
Why Join Us?
You’ll work on projects that shape the future of data and AI. You’ll collaborate with passionate experts, learn continuously, and make an impact that matters. If you’re ready to help organizations harness the power of data, apply here.
**WE WIL NOT BE UTILIZING THIRD PARTY AGENCIES FOR THIS ROLE**
To Apply for this Job Click Here
Applied Scientist
New York
$60 - $75
+ Data Science & AI
ContractNew York
To Apply for this Job Click Here
What You’ll Do
Experiment and Develop
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Lead the full model development lifecycle, from research and prototyping to production deployment.
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Apply best practices for reproducibility, model governance, and high-quality software delivery.
Collaborate
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Work closely with product, engineering, and research teams across multiple regions.
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Mentor teammates, share knowledge, and contribute to a culture of technical excellence.
Deliver
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Translate complex business needs into scoped, actionable ML and NLP projects.
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Ensure timely, well-managed delivery in a dynamic, fast-paced environment.
Innovate
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Explore new methods, frameworks, and model architectures.
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Drive experimentation with emerging NLP, IR, and LLM techniques.
Inspire
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Communicate findings clearly to both technical and non-technical audiences.
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Help guide enterprise adoption of modern AI technologies.
Basic Qualifications
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Master’s degree in a relevant field or equivalent applied experience.
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3+ years building NLP, IR, or ML systems from inception through production.
-
Strong software engineering skills for prototyping and iterative development.
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Demonstrated experience transforming research concepts into functional prototypes with clear objectives.
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Ability to collaborate effectively within diverse, cross-functional teams.
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Hands-on exploration of novel NLP or IR models to address real-world challenges.
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Experience thriving in fast-paced, agile environments.
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Excellent communication skills and strong data-driven decision making.
Technical Requirements
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Solid understanding of classical ML methods for NLP tasks.
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Strong knowledge of deep learning approaches, including transformer-based architectures.
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Familiarity with the internals and behavior of large language models.
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Experience working on text-heavy NLP projects.
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Practical experience with Generative AI techniques such as:
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prompt engineering
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in-context learning
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chain-of-thought prompting
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prompt optimization and evaluation
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controlled generation
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function calling
-
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Experience with RAG architectures, model fine-tuning, and creating training datasets.
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Exposure to agentic frameworks (LangGraph, AutoGen, Semantic Kernel, etc.).
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Proficiency in Python, Git, and cloud environments (AWS or Azure) for model development and deployment.
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Experience with rapid prototyping, lightweight UIs, and agile iteration.
Preferred Qualifications
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5+ years designing NLP, IR, or ML systems in industry or research settings.
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Background in building search or Q&A systems across large document corpora.
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Experience with long-document summarization or high-volume text processing.
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Familiarity with legal-tech or document-heavy enterprise workflows.
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Publications at major conferences such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR, ICML, or similar.
To Apply for this Job Click Here
Director of Data Engineering
New York
$300000 - $350000
+ Data Engineering
PermanentNew York
To Apply for this Job Click Here
Director of Data Engineering
Location: San Francisco or New York (Hybrid)
Compensation: $300-350K base + Equity
A $3B+ Series E SaaS company at the forefront of AI-powered enterprise transformation is looking for a Director of Data Engineering to scale its Data Platform and Analytics Engineering functions. This is a rare opportunity to lead the next phase of data infrastructure, powering everything from LLM-based product experiences to executive analytics and real-time experimentation.
What You’ll Lead:
- Data Platform Strategy: Define the roadmap for scalable, cloud-native infrastructure-streaming, compute, and storage-including technologies like Apache Iceberg, Kafka, and Snowflake.
- Team & Technical Leadership: Grow and mentor a high-performing data engineering team (2 → 10+), setting engineering standards and fostering technical excellence.
- Cross-Functional Collaboration: Partner with ML, Security, Legal, and Product teams to enable AI/ML platforms, telemetry pipelines, and governance at scale.
- Systems at Scale: Architect robust, real-time pipelines and petabyte-scale infrastructure with streaming pre-aggregations, observability, and cost efficiency.
- Operational Maturity: Drive platform reliability and compliance-readiness as the company prepares for IPO-implementing best practices in governance, testing, and infrastructure as code.
What We’re Looking For
- 10+ years in data engineering, with 5+ years of engineering leadership
- Deep experience scaling data platforms in high-growth SaaS, infrastructure or AI-first environments
- Expert in Kafka, Apache Iceberg, Snowflake, dbt, and cloud infrastructure (AWS or GCP)
- Proven success supporting ML/AI platforms and structured/unstructured data needs
- Strong track record of partnering with legal and compliance to build IPO-ready systems
- A collaborative, technical leader who thrives in fast-paced, high-impact settings
Why This Role
- Lead the data engineering charter at one of the most innovative companies in enterprise AI
- Own systems that power product analytics, experimentation, personalization, and LLM workloads
- Work side-by-side with the C-suite and play a pivotal role in company-scale transformation
To Apply for this Job Click Here
Senior Marketing Analyst
New York
$120000 - $145000
+ Advanced Analytics & Marketing Insights
PermanentNew York
To Apply for this Job Click Here
Senior Data Analyst – Marketing Analytics
Location: NYC – Hybrid | Salary: $120,000 – $145,000
We’re partnered with an innovative technology company that’s redefining how people engage with live and digital experiences.
With a strong commitment to data-driven decision-making, their Marketing Analytics function plays a central role in shaping growth strategy, optimising performance across channels, and deepening understanding of the customer journey.
They’re now seeking a Senior Data Analyst to join this high-impact team – someone who can bridge the gap between marketing strategy, business objectives, and analytical insight to drive measurable results.
The Role
-
Partner closely with Growth, Marketing, and Product teams to identify opportunities, measure campaign performance, and guide strategic decision-making.
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Own analytical projects end-to-end, from scoping business questions to delivering actionable insights and recommendations.
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Analyse and optimise customer acquisition, engagement, and retention across multiple marketing channels.
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Develop and maintain core marketing datasets and dashboards using tools such as Looker, dbt, and Hex.
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Evaluate campaign and channel effectiveness through experimentation and advanced statistical techniques.
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Communicate complex analytical findings clearly and persuasively to both technical and non-technical stakeholders.
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Act as a thought partner, using analytics to influence broader marketing and growth strategy.
What You’ll Bring
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4+ years’ experience in Marketing Analytics, Growth Analytics, or a related data-driven role (ideally within tech, ecommerce, or consumer products).
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Strong SQL skills and proficiency in Python or R for data manipulation and modelling.
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Proven experience analysing marketing funnel performance, attribution, and ROI.
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Hands-on experience with experimentation, A/B testing, or incrementality analysis.
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Strong understanding of digital marketing channels, CRM, and performance metrics.
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Excellent storytelling and presentation skills – able to translate data into strategic insight.
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A proactive, collaborative mindset and a passion for driving business impact through analytics.
Desirable: experience in B2B2C environments, working with marketing automation or attribution platforms, and exposure to data infrastructure (dbt, event tracking, marketing APIs).
Tech Stack
Airflow | Fivetran | Python | dbt | Redshift | mParticle | Eppo | Mixpanel | Looker | Hex | GitLab
If you’re passionate about using data to drive marketing performance and influence strategic growth decisions, this is an opportunity to make a tangible impact within a forward-thinking organisation.
Get in touch with the Harnham team today to learn more.
#MarketingAnalytics #DataAnalytics #GrowthAnalytics #Harnham #DataJobs #AnalyticsCareers
To Apply for this Job Click Here
Lead AI Scientist
New York
$240000 - $260000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Lead AI Scientist
$240,000-$260,000 base + bonus + benefits
Remote
About the Organization
Join a global financial services company delivering intelligent information and technology solutions to professionals in legal, tax, compliance, and corporate sectors. The team is part of the organization’s innovation hub, focused on applying AI, LLM, and data science to create forward-looking tools.
The environment combines the best of both worlds: startup energy with enterprise support. Projects include building agentic systems to automate tax prep and document summarization for legal and financial workflows.
About the Role
This is a tech-lead, model building / development-focused role-ideal for someone with a strong foundation in applied AI research and a passion for making machine learning work in the real world. You’ll own experiments, iterate on PoCs, and help define how ML models are built for in production environments.
What You’ll Bring
- 7+ years of machine learning and NLP / LLM modeling experience in applied research and production environments
- PhD in Computer Science, Computational Linguistics, Statistics or similar highly preferred
- Technical leadership experience required; direct people management a plus
- Experience with LLMs, agentic AI or generative AI for customer-facing applications
- Background in: deep learning or NLP preferred; experience building neural networks like CNNs, RNNs, LSTM, or similar
- Cloud environments (provider-agnostic), AWS or GCP a plus
- Python, PyTorch, TensorFlow, Hugging Face, BERT, RAG experience preferred
- Publication and patent history a plus
- Strong collaboration and communication skills, including experience working with non-technical stakeholders
- Independent problem-solver with a proactive mindset
HOW TO APPLY
Please register your interest by sending your résumé to Tim Jonas via the Apply link on this page.
KEYWORDS
Machine Learning | GenAI | Gen AI | Generative AI | LLMs | Large Language Models | Artificial Intelligence | Applied Research | Production | AI | Artificial Intelligence | Publications | Patents | PyTorch | Python | Deployment | Hugging Face | RAG | Retrieval Augmented Generation | Agents | Agentic AI | Generative AI | NLP | Natural Language Processing | Chatbots | NER | Information Extraction | Information Retrieval
To Apply for this Job Click Here
Senior Product Analyst
New York
$120000 - $145000
+ Advanced Analytics & Marketing Insights
PermanentNew York
To Apply for this Job Click Here
Senior Data Analyst – Product Analytics
Location: NYC – Hybrid | Salary: $120,000 – $145,000
We’re working with a fast-growing technology company that’s transforming how people experience live and digital events.
They’re on a mission to create seamless, data-driven experiences for millions of users, powered by an exceptional Product Analytics function. This team sits at the centre of the business – driving strategic decision-making across Product, Engineering, and Design through insight, experimentation, and deep analytical thinking.
They’re now looking for a Senior Data Analyst who can connect data to strategy, thrive in ambiguity, and identify high-impact opportunities that drive both user engagement and business growth.
The Role
-
Partner with Product, Design, and Engineering teams to shape product strategy using data-led insights.
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Lead analytical projects end-to-end, from opportunity sizing to experimentation and performance diagnostics.
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Design and evaluate A/B tests to measure product changes and uncover growth opportunities.
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Build and optimise datasets and analytical tools (e.g. Looker, dbt, Hex) to enhance decision-making.
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Act as a strategic thought partner, ensuring analytics sits at the core of key product decisions.
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Mentor peers and champion a culture of curiosity, collaboration, and analytical excellence.
What You’ll Bring
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4+ years’ experience in Product Analytics, Data Science, or similar roles (ideally within tech, ecommerce, or consumer platforms).
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Strong SQL skills and proficiency in Python or R.
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Experience designing and interpreting A/B tests and experimentation frameworks.
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Excellent communication and storytelling skills – able to translate complex data into clear, actionable insights.
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Strong product intuition and systems-thinking mindset, connecting data to wider business strategy.
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Collaborative and proactive approach to working with cross-functional teams.
Desirable: experience in B2B2C environments, building data infrastructure (dbt, event tracking), or AI-driven products.
Tech Stack
Airflow | Fivetran | Python | dbt | Redshift | mParticle | Eppo | Mixpanel | Looker | Hex | GitLab
If you’re passionate about using data to shape exceptional product experiences and want to join a team where analytics drives meaningful change, get in touch with the Harnham team today.
#DataAnalytics #ProductAnalytics #AnalyticsJobs #Harnham #DataScience #Hiring
To Apply for this Job Click Here
Senior MLOps Engineer
New York
$225000 - $250000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Senior MLOps Engineer
New York, New York
$225,000-250,000 base salary + equity; $300,000-$350,000 total
THE COMPANY
Harnham is partnering with a unicorn AI adtech that builds AI platforms which enhance performance by delivering real-time relevance at critical points in the customer journey. Using intelligent systems and a global digital commerce framework, the platform powers high-volume interactions between millions of users and major brands. Following a significant valuation increase in early 2025, they are expanding rapidly across international markets, particularly in AI. The AI engineering team builds scalable, data-driven solutions that personalize user experiences and equip marketers with actionable insights, all while working with large-scale infrastructure and diverse technologies.
THE ROLE
- You will be responsible for machine learning model deployment and scalability for the company’s AI platform
- You will report directly to senior leadership and work closely on technical direction
- Own AI infrastructure and quickly build into production, particularly focusing on novel AI and LLM applications
- You will implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning workflow operations and distributed systems
- Own CI/CD pipelines for MLOps / LLMOps
- 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
YOUR SKILLS AND EXPERIENCE
The successful Senior MLOps Engineer will likely have the following skills and experience:
- 5+ years of commercial experience preferred with a focus on building and deploying machine learning and LLM models
- Experience working in a scaling startup is highly preferred (having seen multiple funding rounds ideally)
- 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
- Fluency with low-latency distributed systems is preferred
- Cloud experience in AWS, Azure or GCP
- DevOps experience with CI/CD pipelines required
- History of working on models from concept to production / end-to-end / 0-1
- Experience in settings wearing multiple hats
- Domain experience in adtech or similar a plus
- History of partnering with non-technical stakeholders required
- Experience owning projects directly preferred
- BS or MS degree in Computer Science, Statistics, Applied Mathematics, Computer Engineering or similar
THE BENEFITS
A competitive base salary of $225,000-250,000 + 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 | MLOps | LLMOps | Adtech | Advertising | Unicorn | Startup | Deployment | Production | LLMs | LLM | Large Language Models | GenAI | Gen AI | Generative AI | Distributed Systems | Low Latency | Real-time | Natural Language Processing | Infrastructure | Architecture | CI/CD | Continuous Integration | Continuous Deployment | Real Time Bidding | Auction | Recommendation Engine | Recommender System | Personalization | Bespoke | Target Audience
To Apply for this Job Click Here
Senior Data Engineer
New York
$70 - $90
+ Data Engineering
ContractNew York
To Apply for this Job Click Here
Job Summary:
Seeking a highly skilled and experienced Senior Data Engineer to join our growing data team. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that support data-driven decision-making across the organization. You’ll play a key role in transforming raw data into actionable insights, working with tools like Redshift, Airflow, AWS, DBT, Git, and modern CI/CD practices.
Responsibilities:
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Design, build, and maintain robust ETL/ELT pipelines using tools such as Apache Airflow and DBT.
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Develop and optimize data models and warehouse structures in Amazon Redshift.
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Collaborate with data analysts, data scientists, and business stakeholders to understand data needs and deliver solutions.
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Implement and manage CI/CD pipelines for data workflows to ensure high-quality, reliable deployments.
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Ensure data quality, consistency, and integrity across systems through validation and testing practices.
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Manage infrastructure on AWS, leveraging services like S3, Lambda, Glue, and CloudWatch.
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Monitor performance and troubleshoot data pipeline issues to ensure timely and accurate data availability.
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Enforce best practices in data governance, security, and access controls.
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Participate in code reviews, technical design discussions, and contribute to overall architecture planning.
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Mentor junior data engineers and support team development.
Required Skills and Qualifications:
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5+ years of professional experience in data engineering or a related field.
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Strong expertise in Amazon Redshift, including performance tuning and schema design.
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Hands-on experience with Apache Airflow for orchestration of data pipelines.
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Proficient with AWS cloud services related to data engineering.
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Expertise in building and managing DBT models and transformations.
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Solid understanding of ETL/ELT processes and data integration patterns.
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Experience with version control systems like Git and implementing CI/CD workflows.
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Proficient in SQL and at least one programming language such as Python.
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Familiar with data warehousing, dimensional modeling, and big data concepts.
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Strong problem-solving skills and attention to detail.
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Excellent communication and collaboration abilities.
Preferred Qualifications:
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Experience in real-time data processing or event-driven architecture.
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Familiarity with containerization tools (e.g., Docker) and infrastructure-as-code (e.g., Terraform).
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Background in analytics, statistics, or data science.
To Apply for this Job Click Here
Graphic Research Engineer
New York
$60 - $90
+ Computer Vision
ContractNew York
To Apply for this Job Click Here
Computer Graphics Research Scientist (Dental R&D)
Harnham, the leading recruitment specialist in Data and AI, is currently partnering with a pioneering dental technology company that is redefining digital dentistry through innovation in 3D modeling, computer graphics, and simulation-based design. The company’s advanced CAD platform empowers dental professionals worldwide to deliver precision prosthetics and enhance patient outcomes through cutting-edge computational research.
Role – Computer Graphics Research Scientist (Dental R&D)
Location – Fully Remote (U.S.)
Pay – $60-$90 per hour
Length – 3-month contract-to-hire
Utilization – 40 hrs/week
Benefits – W2 employees are eligible for health, dental, vision, and 401k benefits.
As a Computer Graphics Research Scientist, you will lead groundbreaking research and technical development at the intersection of computer graphics, computational geometry, and biomechanics. You’ll design advanced algorithms for 3D mesh processing, simulation, and rendering-driving innovation in digital dental prosthetics and shaping the next generation of dental design systems.
Key Responsibilities:
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Conduct advanced research in computer graphics algorithms for dental prosthetics design and manufacturing.
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Develop and optimize 3D mesh processing algorithms for STL and PLY file formats used in dental CAD workflows.
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Design and implement physical simulation systems for biomechanical analysis of dentures and crowns.
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Create novel rendering and visualization techniques for dental prosthetics modeling.
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Build robust 3D geometry processing pipelines to manage complex dental mesh data.
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Collaborate with dental professionals, CAD designers, and AI/ML engineers to integrate cutting-edge graphics algorithms into clinical and research workflows.
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Publish findings in leading computer graphics and medical technology conferences.
Requirements:
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Ph.D. in Computer Science, Computer Graphics, or a related field.
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Strong publication record in computer graphics, computational geometry, or related domains.
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Expertise in C++ and Python for high-performance graphics and simulation development.
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Deep understanding of 3D geometry processing, mesh algorithms, computational geometry, and finite element analysis.
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Experience with STL, PLY, and other 3D file formats.
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Knowledge of physics simulation frameworks and finite element modeling methods.
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Familiarity with machine learning frameworks (TensorFlow, PyTorch) and CUDA for graphics applications.
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Industry experience is a plus.
This is an excellent opportunity for a research-driven computer graphics expert to apply their technical depth and creativity to real-world applications-advancing the future of digital dentistry and biomechanical design.
To Apply for this Job Click Here
Data Scientist / Software Engineer (AI)
New York
$65 - $90
+ Data Science & AI
ContractNew York
To Apply for this Job Click Here
Data Scientist / Software Engineer (AI)
Lead Software Engineer (AI) position having experience in classic and generative AI techniques, and responsible for design, implementation, and support of Python based applications.
What you’ll do:?
- Deliver client engagements that use AI rapidly, on the order of a few weeks
- Stay on top of current tools, techniques, and frameworks to be able to use and advise clients on them
- Build proofs of concept rapidly, to learn and adapt to changing market needs
- Support building internal applications for use by associates to improve productivity
What you’ll need:
7+ years of experience in classic AI techniques and at least 1.5 years in generative AI techniques. Demonstrated ability to run short development cycles and solid grasp of building software in a collaborative team setting.
Must have:
- Experience building applications for knowledge search and summarization, frameworks to evaluate and compare performance of different GenAI techniques, measuring and improving accuracy and helpfulness of generative responses, implementing observability.
- Experience with agentic AI frameworks, RAG, embedding models, vector DBs
- Experience working with Python libraries like Pandas, Scikit-Learn, Numpy, and Scipy is required.
- Experience deploying applications to cloud platforms such as Azure and AWS.
- Familiarity with AWS Bedrock / Azure AI / Databricks Services.
- Solid grasp of building software in a collaborative team setting – use of agile scrum and tools like Jira / GitHub.
- Demonstrated ability to run short development cycle.
- Excellent written, verbal, and interpersonal communication skills with the ability to present technical information in a clear and concise manner to IT Leaders and business stakeholders.
Nice to have:
- Experience in finetuning Language models.
- Experience in MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc.,
- Experience in Machine learning models and techniques like NLP, BERT, Transformers, Deep learning.
- Experience building scalable data models and performing complex relational databases queries using SQL (Oracle, MySQL, PostgreSQL).
Who you are:
- Effective time management skills and ability to meet deadlines.
- Excellent communications skills interacting with technical and business audiences.
- Excellent organization, multitasking, and prioritization skills.
- Must possess a willingness and aptitude to embrace new technologies/ideas and master concepts rapidly.
- Intellectual curiosity, passion for technology and keeping up with new trends.
- Delivering project work on-time within budget with high quality.
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With over 10 years experience working solely in the Data & AI sector our consultants are able to offer detailed insights into the industry.
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I've been a Senior Data Engineer for about 4-5 years and Harnham is one of the best recruitment agencies I worked with. There was a time when my offer fell through and the recruiter I was working with at Harnham jumped in to the rescue and scheduled interviews for me within a couple of days. Really good agency and some great people.
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Candidate – Market Research Analyst
Thanks to Harnham, I am now in a role that suits me. My recruiter was able to quickly identify the skills I had to offer and match me up with his client. It was a win-win for everyone. I was given great advice throughout the process, and I also appreciated the follow-ups that I received.
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Client – Data Direction – Broadcast Media
I have worked with Harnham for over 2 years now as our main Analytics Recruiter partner and I am very pleased with the overall service and the people we have hired via Harnham. Harnham’s team is very good at understanding our recruitment needs and always come back with relevant and well scanned CVs, which saves me precious time.
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Data Direction – Broadcast Media
Candidate – Chief Data Officer
It was a real treat to work with Harnham. My recruiter consistently went above and beyond to ensure that I navigated through the recruitment process as smooth as possible. I had been in contact with other professional at Harnham in the past and I can attest that the level of professionalism is always top-notch.
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Chief Data Officer
Candidate – Data Analyst
I’ve had a great experience with Harnham. The recruiter provided great advice and ensured that I understood everything, and even followed up with me after I started my new role to see how I was settling in. I would recommend Harnham as a great recruitment company for anyone looking for a role in data and analytics.
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Data Analyst
Client – Director of Customer Data Science – Apparel
The team at Harnham have been outstanding in helping our company build a market-leading data science team. Harnham’s communication is great, and the recruiter’s take a consultative approach that’s really focused on provided value for both their clients and their candidates. They provide strong candidates that help us fill our roles with high achievers who are also a great fit for our culture.
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Client – Director of People Operations
We’ve been collaborating with Harnham to recruit some key positions for our company, and they have been incredible partners. They team has been great and efficient. They understood our needs perfectly and provided us very talented candidates. We'll keep collaborating with them in the future. Thank you for your excellent job!
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Candidate – Digital Media and Analytics
I've recently got a short-term contract role through Harnham, and things couldn't have gone better! My recruiter was incredibly helpful throughout the entire process. They also provided incredible admin support so that I could focus on the actual job in hand, rather than having to spend too much time dealing with these matters.
