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Senior Data Engineer

Location: Chicago, IL (Hybrid)

Pay: $120k – $140k base + bonus

About the Company

We are partnered with a growth-stage fintech company building transparent, borrower-friendly financial products. The team is simplifying access to credit through data-driven decision-making, modern infrastructure, and a strong emphasis on customer outcomes. You will join a small, collaborative, and impact-oriented department.

Responsibilities

• Design, build, and maintain scalable data pipelines and infrastructure using Snowflake, Airflow, Fivetran, and dbt
• Develop and optimize SQL- and Python-based workflows for data ingestion, transformation, and automation
• Partner with business stakeholders to design and maintain reliable data marts, addressing data quality gaps and inconsistencies
• Implement robust testing and validation frameworks, particularly within dbt models, to ensure end-to-end data reliability
• Apply data platform reliability best practices, including monitoring and alerting (e.g., Datadog) for ETL workflows
• Collaborate cross-functionally to translate business needs into scalable data solutions
• Own projects end to end while contributing effectively within a collaborative team environment

Qualifications

• 3 – 5 years of experience in data engineering or analytics engineering roles (fintech or regulated environments preferred)
• Bachelor’s degree in a relevant field or equivalent practical experience
• Strong proficiency in SQL
• Hands-on experience with Python, Snowflake, Airflow, Fivetran, and dbt
• Solid understanding of data modeling, version control (Git), and CI/CD workflows
• Experience operating data platforms in cloud environments, preferably AWS
• Strong communication skills, business intuition, and the ability to troubleshoot complex data issues

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Senior Digital Strategist, Paid Social

$70,000 – $90,000 Base + Benefits

New York / Connecticut Preferred | Remote (ET/CST)

We’re partnered with a leading independent media agency looking to hire a Senior Media Strategist, Paid Social to join their growing digital team.

This is a hands-on role focused on owning paid social campaigns end-to-end across major platforms, working with a strong portfolio of clients across insurance, healthcare, finance, and consumer brands.

The Role

You’ll be responsible for building, launching, and optimizing paid social campaigns, working closely with internal media, analytics, and creative teams to drive performance.

• Execute and optimize paid social campaigns across Meta, LinkedIn, TikTok, Reddit, Snap, Pinterest, and X
• Develop campaign strategy based on audience, platform, and performance data
• Analyze campaign performance and provide actionable insights to improve KPIs
• Collaborate with cross-functional teams to align on media plans and execution
• Support creative direction by advising on best-performing formats and messaging

Your Background

• 4-5+ years of hands-on paid social experience
• Strong platform expertise across Meta and at least 2-3 additional channels (TikTok, LinkedIn, Snap, etc.)
• Proven ability to optimize campaigns and improve performance metrics (CPA, ROAS, conversions)
• Experience working in an agency environment preferred
• Comfortable owning campaigns end-to-end, from setup through reporting

What We’re Looking For

• A true executor – someone who enjoys being in-platform and driving performance
• Strong analytical mindset with a focus on results
• Collaborative, positive, and team-oriented
• Someone looking to grow within a stable, high-performing team (not a step-up title move)

Why Apply?

• Join a well-established agency with strong client relationships and continued growth
• Work across a diverse set of brands and industries
• Be part of a collaborative, high-performing paid social team
• Clear expectations, strong culture, and realistic work-life balance

If you’re a paid social specialist looking for a role where you can own campaigns and make a direct impact, apply now or reach out for more details.

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AI Consultant
London, 3 days in the office| Salary between £80,000 and £90,000

This is a high-impact opportunity to join a newly established AI lab within a large, data-rich organisation, where AI is central to future product innovation and client delivery. Sitting at the senior end of the consultant band, this role offers real influence over how advanced analytics and AI are applied to complex, real-world lending decisions.

The Company

They are a well-established data and analytics organisation operating at scale across financial services and adjacent industries. With access to extensive proprietary datasets, they support clients in making more accurate, responsible decisions through advanced analytics and modelling. Their AI lab is a growing centre of excellence designed to accelerate innovation and embed AI across the wider business.

The Role

You will play a key role in developing and enhancing AI-driven solutions used across client and internal projects, with a strong focus on credit and lending use cases.

Responsibilities include:

• Designing and building AI and machine learning models to support lending, risk, and decisioning strategies.
• Developing and enhancing predictive models, including scorecards and other risk-focused approaches.
• Applying techniques such as LLMs, transformers, and applied ML to real business problems such as automation and decision support.
• Leading research and development activity for new AI-led solutions and product concepts.
• Communicating complex analytical outputs clearly through presentations, written outputs, and stakeholder discussions.
• Collaborating closely with analytics, engineering, and product teams across the organisation.

Your Skills and Experience

• Strong commercial experience in credit risk modelling within a lender, fintech, or credit bureau environment.
• Proven capability in developing predictive models, including scorecards or similar risk models.
• Hands-on experience applying AI or machine learning, such as LLMs, chatbots, or advanced ML techniques, to business problems.
• Strong Python and SQL skills for data analysis and model development.
• Experience exploring alternative or innovative AI-driven approaches to solve challenges within lending or collections.
• Confidence working autonomously and contributing at a senior consultant level.

What They Offer

• Salary between £80,000 and £90,000
• A key role within a growing AI lab with strong visibility and long-term progression opportunities.
• Exposure to a wide variety of projects across financial services and other data-intensive sectors.
• A collaborative, inclusive culture with strong retention and long-term career development.

How to Apply

Apply bellow or email me at

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Research Scientist, Human Attention and Spatial AI
Remote | Salary £60,000 to £75,000 plus equity

This is a rare opportunity to join a small, research-led team working on some of the most challenging problems in human-centred AI. The role offers genuine ownership, the chance to shape research direction, and the ability to see ideas move quickly from experimentation into real-world applications.

The Company

They are a human-centric research and development consultancy focused on modelling how people perceive, attend to, and interact with complex visual and spatial environments. Operating with a lean, startup-style culture, the team works closely with industry partners while actively expanding into new application areas such as aerospace, immersive technologies, and assistive systems.

The Role

You will work at the intersection of machine learning, computer vision, and cognitive science to build models that predict and interpret human attention and behaviour in visual and spatial contexts.

Key responsibilities include:

Designing and implementing machine learning models for human attention, perception, and interaction.
Running independent experiments, from hypothesis and data design through to evaluation and analysis.
Working with visual, temporal, and spatial data including images, video, 3D scenes, and gaze signals.
Translating research ideas into practical prototypes with support from a small engineering-focused team.
Contributing ideas proactively in an open, research-driven environment.

Your Skills and Experience

• PhD, near-complete PhD, in machine learning, computer vision, AI, cognitive science, neuroscience, HCI, robotics, or a related field.
• Evidence of strong research output such as publications at leading computer vision or AI venues, patents, or substantial open-source contributions.
• Strong hands-on experience with Python and modern deep learning frameworks, ideally PyTorch.
• Ability to design, run, and evaluate machine learning experiments independently.
• A genuine interest in human behaviour, attention, perception, or cognitive modelling.
• Clear communication skills and confidence working in a small, collaborative team.

What They Offer

• Salary between £60,000 and £75,000 depending on experience.
• Equity options ranging from 0.1 percent to 3.0 percent based on seniority and scope.
• Fully remote.
• High-impact research problems, real-world applications, and meaningful technical ownership.
• A supportive, creative culture that values curiosity, initiative, and thoughtful experimentation.

How to Apply

Apply below or email me at for more information.

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Staff Data Analyst, Product Analytics

Location: Remote

Salary: $200-250k

Join a rapidly growing, Series C cloud platform company recognized for innovation and leadership in modern technology. This high-impact role offers the opportunity to drive strategy, shape growth, and turn complex data into actionable insights that improve product performance and streamline operational efficiency.

About the Role

The Staff Data Analyst will play a key role in defining critical business metrics, creating scalable visualizations, and automating reporting systems. The position involves collaborating across teams to uncover insights, streamline processes, and optimize data usage to support growth.

Key Responsibilities

• Develop and implement key business metrics to measure performance and identify opportunities.
• Create dynamic visualizations and automate reporting workflows to support decision-making.
• Build and enhance analytics datasets to optimize growth strategies and reduce costs.
• Collaborate with product, business, and leadership teams to deliver data-driven solutions.
• Prototype dashboards and data tools to improve workflows and promote best practices.
• Support data accessibility by maintaining analytical technologies that ensure timely access to data.
• Shape the analytics roadmap, aligning data initiatives with organizational goals.

About You

• 6+ years of experience in a data-focused role such as Data Analyst, Product Analyst, or Business Analyst.
• Proficient in SQL and experienced in working with complex datasets.
• Familiarity with Python or R and applied statistics.
• Expertise in ELT data modeling and tools like Hashboard, Looker, or Omni.
• Strong communication skills with the ability to translate data into actionable insights.
• Adept at collaborating in a fast-paced, cross-functional environment.

This is an opportunity to join a dynamic team where data is at the core of driving decisions and innovation. If you’re passionate about transforming data into meaningful outcomes and enjoy working on high-impact projects, this role offers the chance to make a lasting contribution.

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Senior Analytics Engineer

Location: Remote

Salary: $150-170k base

We’re partnering exclusively with a fast-growing SaaS company to find a Senior Analytics Engineer to join their data team. This is a high-impact, high-autonomy role sitting at the intersection of data engineering and analytics, perfect for someone who takes pride in building data foundations that the whole business relies on.

What You’ll Be Doing

• Designing and building dimensional data models in Snowflake that underpin analytics across the business
• Developing and optimising dbt models to turn raw source data into clean, trusted datasets
• Partnering with analysts and business stakeholders to translate their needs into scalable data solutions
• Implementing data quality checks and owning the reliability of analytics datasets
• Contributing to data governance including PII handling, metadata management, and documentation
• Supporting strategic analytics across customer journeys, revenue metrics, and product usage
• Mentoring junior team members and championing best practices

What We’re Looking For

The company runs a best-in-class modern data stack built around Snowflake, dbt, and Monte Carlo, with data flowing in from Salesforce, HubSpot, Recurly, and core product databases. The team is evolving toward an AI-enabled, domain-oriented data organisation, so there’s real scope to shape the architecture, not just maintain it.

Essential:

• 5+ years in analytics engineering, data engineering, or a similar data-focused role
• Expert-level SQL: complex queries, CTEs, window functions
• Strong hands-on dbt experience
• Snowflake (or equivalent cloud warehouse: BigQuery, Redshift)
• Solid understanding of dimensional modelling and data warehouse design patterns
• Experience with SaaS metrics: MRR, churn, CLV etc.
• Python for data work or automation
• Familiarity with data orchestration tools (Airflow / MWAA)
• Comfortable working remotely and cross-functionally with distributed teams

Nice to have:

• Experience with reverse ETL tools such as Hightouch
• Exposure to BI tools (Hex preferred)
• Understanding of data mesh or domain-oriented architecture concepts

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Staff Product Analyst

Location: San Francisco (Remote Eligible)

Salary: $200K-$240K base + Equity

We’re hiring a Staff Product Analyst for a hyper-growth, Series E AI company valued at $3B+. This is an opportunity to play a key role in shaping product strategy and growth by leveraging data to drive decisions, optimize user experiences, and unlock new opportunities.

What You’ll Do:

• Shape product strategy with data-driven insights – Define key metrics, track user behavior, and identify trends that impact engagement and retention.
• Deep-dive into user journeys – Uncover friction points and growth levers to enhance adoption, conversion, and retention.
• Optimize experimentation and A/B testing – Design and analyze tests to improve product features, pricing, and personalization strategies.
• Develop self-service analytics tools – Build dashboards and automated reporting to empower teams with real-time data.
• Partner with Product, Engineering & Leadership – Translate complex data into clear, actionable recommendations to improve product performance and business outcomes.

What We’re Looking For:

• 7+ years of experience in Product Analytics, preferably within high-growth tech companies.
• Expert SQL skills and experience working with large-scale product datasets.
• Proficiency in Python or R, with a strong foundation in statistical analysis and experimentation.
• Hands-on experience with A/B testing methodologies and user segmentation.
• Experience with ELT data modeling and BI tools like Looker, Omni, or Hashboard.
• Strong executive communication skills, with the ability to influence product decisions through data.
• Thrives in a fast-paced, high-impact environment, with a passion for uncovering insights that drive product growth.

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Staff Analytics Engineer

Location: Remote
Salary: $200-250k

Are you a data expert ready to drive transformative analytics at a cutting-edge cloud platform company? This fast-growing Series C innovator is revolutionizing how teams build, preview, and deploy high-performance digital applications.

About the Role

The Staff Analytics Engineer will lead the design and implementation of robust data models and pipelines, enabling business units to uncover insights and make data-driven decisions. This role is a unique chance to collaborate with engineering, product, and business teams, building scalable analytics systems that power operational efficiency and growth.

Key Responsibilities

• Design and maintain scalable data models and pipelines to serve as a single source of truth across the enterprise.
• Develop tools to enhance data accessibility, auditing, and validation, ensuring consistent, trustworthy datasets.
• Partner with cross-functional teams to uncover actionable insights and support decision-making.
• Build self-service analytics tools and dashboards for key stakeholders, streamlining workflows.
• Collaborate on advancing the company’s data platform using cutting-edge tools like dbt, Snowflake, and Superset.
• Lead initiatives to improve data quality, governance, and discoverability, ensuring alignment with business goals.

About You

• 8+ years of experience in analytics engineering or a similar role in a modern tech company.
• Advanced proficiency in SQL, with experience working on complex datasets.
• Expertise in data platforms like Snowflake or BigQuery and transformation tools like dbt.
• Familiarity with programming languages such as Python, Java, or Go.
• Experience with BI tools like Hashboard or Superset, and a strong grasp of schema design and dimensional modeling.
• Strong communication skills and the ability to collaborate in a fast-paced environment.

Be part of a forward-thinking team where data is at the core of every decision. If you’re passionate about transforming data into meaningful insights, this role offers the chance to work on impactful projects, collaborate with top talent, and make a lasting difference.

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Senior Data Engineer

San Francisco, CA

$180-240K base + equity

We’re partnered with one of the most recognized developer platforms in the world, trusted by engineering teams at OpenAI, Meta, Netflix, and Adobe, who are scaling their data platform and looking to hire a Senior Data Engineer to own the pipelines and foundations at the core of their data ecosystem.

You’ll own the full pipeline lifecycle, from ingestion architecture through to analytics-ready data, working closely with Data Platform Engineers and partnering with analysts and data scientists who depend on what you build every day.

What you’ll do

• Design and build scalable ingestion pipelines and orchestration frameworks across structured, semi-structured, and event-based sources
• Own reliability, observability, and performance across the full pipeline lifecycle from raw ingestion to analytics-ready delivery
• Build and maintain dbt transformation pipelines serving as the single source of truth across Finance, Product, GTM, and Engineering
• Ensure revenue and billing data meets the accuracy and auditability required for public company reporting, including SOX compliance
• Apply software engineering principles throughout: CI/CD, testing, observability, version control, and automation
• Enable self-serve analytics through semantic layer development, strong abstractions, and clear documentation
• Champion data quality and governance across classification, ownership, access policies, and data lifecycle management

What we’re looking for

• 5+ years in data engineering or a hybrid data/analytics engineering role, with a track record of owning pipelines end-to-end in high-growth or enterprise environments
• Advanced SQL and dbt (Core or Cloud), Snowflake or comparable cloud data warehouse, Python, and Airflow
• Experience with Kafka and streaming data systems, with working knowledge of ClickHouse, Iceberg, or similar technologies
• Experience with ingestion tools such as Fivetran, Airbyte, or Polytomic
• Cloud-native architecture experience across AWS, GCP, or Azure
• Exposure to designing data systems that meet compliance and governance requirements, including SOX or equivalent
• Strong communication and collaboration skills, with the ability to contribute as a technical voice across engineering and business stakeholders

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Staff GTM Data Scientist

Location: Remote

Salary: $190-220k base

We’re partnering with a fast-growing SaaS company to find a Staff Data Scientist for a senior, high-visibility role sitting at the heart of their product and go-to-market strategy. This isn’t a reporting role or a dashboard-builder position. It’s for someone who can drive a genuine shift toward data-driven decision making across the organization, and who has the technical depth and communication skills to bring leadership along with them.

What You’ll Be Doing

• Owning and advancing the company’s experimentation roadmap, focusing on high-leverage questions around customer workflows, churn risk, and long-term value
• Designing and analyzing complex A/B tests, multivariate experiments, and Bayesian methods to assess the real impact of product and business changes
• Applying causal inference techniques (DiD, synthetic control, propensity score matching, instrumental variables) where traditional RCTs aren’t feasible
• Building and governing a unified KPI framework that connects product health metrics to business outcomes
• Partnering with Data Engineering to build scalable, self-serve experimentation tooling and reusable analytical frameworks
• Translating complex statistical findings into clear, compelling narratives for VP and C-suite audiences
• Mentoring and training junior and mid-level data scientists on experimental design and causal modeling

What We’re Looking For

This is a senior individual contributor role reporting to the Director of GTM Data, acting as a strategic thought partner across Product, Marketing, Finance, and Engineering. The company is at an inflection point in how it uses data, and this person will be central to shaping that.

Essential:

• 6+ years in applied data science, economics, or product analytics
• Proven expertise in causal inference: DiD, PSM, instrumental variables, quasi-experimentation
• Deep experience in A/B testing methodology including sequential testing, CUPED, variance reduction, and network effects
• Advanced SQL and Python or R for statistical modeling
• Experience with Snowflake or similar cloud data warehouses
• Exceptional communication skills, comfortable presenting to and influencing C-suite stakeholders
• Demonstrated ability to drive change in organizations where experimentation culture is still maturing

Nice to have:

• Experience with dbt, Airflow, or Databricks
• Background in SaaS and product data science

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Senior Data Platform Engineer

Location: Los Angeles, CA

Salary: $160-200k base

We’re partnering with a fast-scaling, mission-driven advanced technology company building complex software and hardware systems deployed in real-world environments. Their platform processes and operationalizes high-volume data to power critical decision-making across the organization.

They are hiring a Senior Data Platform Engineer to design and scale the core data infrastructure that supports company-wide operations.

The Role

As a Senior Engineer on the Data Platform team, you will:

• Design and build scalable data pipelines and transformation frameworks
• Own ingestion and egress systems that unify multiple operational data sources
• Develop reliable, secure data models that power internal data products and applications
• Partner with engineering, product, and operations to translate business needs into production-grade systems
• Advocate for best practices across testing, CI/CD, data modeling, and security
• Debug and optimize complex transformation pipelines in production environments

What They’re Looking For

• 5+ years of experience in data engineering or backend engineering
• Strong programming skills in Python or similar languages
• Experience with Spark, PySpark, SQL, and dbt
• Familiarity with large-scale data platforms and cloud environments (AWS, Azure, or GCP)
• Experience with containerization and modern deployment practices
• Ability to operate autonomously in fast-moving environments
• Strong ownership mindset and attention to security best practices
• Must be a U.S. Person due to export-controlled information requirements

This is a high-impact role focused on building durable data systems that directly support operational execution at scale.

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