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India

  • Build and own data infrastructure, ensuring a solid foundation.
  • Analyze product usage and user behavior to identify patterns.
  • Build models that ship, including LLM-based systems and traditional ML.

SQL Python Databricks LLM ML

20 jobs similar to Senior Data Scientist & Engineer

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$151,000–$205,000/yr
US Unlimited PTO

  • Extend, optimize, and maintain core data models for reports, machine learning, and generative AI.
  • Implement automation and operationalize ML models to streamline operational processes and improve efficiency.
  • Partner with engineering, product, and analytics teams to deliver seamless integrations and customer-facing data products.

Boulevard provides a client experience platform for appointment-based, self-care businesses, helping customers enhance client experiences. They value diversity and inclusivity, offering equal opportunities and aiming to create a supportive work environment.

  • Build and maintain context infrastructure for AI tools.
  • Design and run evaluation frameworks for AI-generated insights.
  • Build and orchestrate AI agent systems for analytics tools.

Airtable is a no-code app platform empowering people to accelerate critical business processes. More than 500,000 organizations rely on Airtable to transform how work gets done, suggesting a large company size and a culture of innovation.

$104,000–$164,000/yr
US

  • Build and manage business data pipelines and transform Firefox telemetry data into structured datasets.
  • Partner with data scientists, product, and marketing teams to turn datasets into models and metrics.
  • Ensure data accuracy and performance using observability tools and resolve data issues.

Mozilla Corporation is a technology company backed by a non-profit that has shaped the internet, creating brands like Firefox. With millions of users globally, they focus on areas including AI and social media while remaining focused on making the internet better for people.

US Europe

  • Become a trusted data and AI advisor to clients, helping them translate business questions into AI-ready data architectures.
  • Design and implement AI-optimized data platforms, including cloud data warehouses, ETL/ELT pipelines, and analytic layers.
  • Engineer modern ELT/ETL pipelines that handle structured, semi-structured, and unstructured data to support AI and analytics use cases.

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. They work alongside the most innovative software providers in the data engineering space to solve their clients' toughest business problems and believe in blending modern tools and techniques with tried-and-true principles to deliver optimal data engineering solutions.

US UK

  • Become a trusted advisor, partnering with data owners, analysts, business users, and executive stakeholders to translate business needs into scalable analytics solutions.
  • Work independently as part of a small team to solve complex analytics engineering use-cases across a variety of industries.
  • Design and develop the analytical layer, including curated data models, semantic layers, metrics definitions, and transformation pipelines.

Aimpoint Digital is a dynamic and fully remote data and analytics consultancy. We partner with innovative software providers in the data analytics & engineering space to solve our clients' toughest business problems.

$150,000–$200,000/yr
US Unlimited PTO

  • Design features connecting natural language queries with a large corpus of legal knowledge.
  • Build a data architecture you are proud to highlight.
  • Use unstructured data to build large scale data sets.

Trellis Law is the leading provider of state trial court data in the U.S. They leverage AI and Machine Learning to analyze hundreds of millions of state trial court documents, transforming complex data into actionable insights. Founded in 2018, Trellis has experienced rapid growth and is now trusted by many of the nation’s largest law firms and corporate legal teams.

Unlimited PTO

  • Be a data visionary, anticipating future data needs
  • Influence AI model training through high-quality data
  • Own data end-to-end: sourcing, structuring, scaling

Tavus is building the human layer of AI to make human-AI interaction as natural as face-to-face interaction. They are a Series A company backed by top investors, including Sequoia, Y Combinator, and Scale VC, fostering a collaborative team culture.

$100,000–$120,000/yr
US

  • Collaborate with AI tools to generate actionable business insights that support strategic and operational decision-making
  • Review, validate, and continuously improve the context and inputs provided to analytics AI systems to enhance output quality and relevance
  • Support the organization's transition to an AI-native ELT (Extract, Load, Transform) pipeline by evaluating, implementing, and documenting emerging data engineering technologies

Expressable is a virtual speech therapy practice on a mission to transform care delivery and expand access to high-quality services. They have served thousands of clients since their inception in late 2019 and are passionate advocates of parent-focused intervention.

Europe

  • Own the architecture and delivery of production-grade LLM systems and classical ML solutions.
  • Design, evaluate, and optimize RAG pipelines (retrieval strategy, chunking, indexing, monitoring).
  • Build scalable, production-grade LLM services and agentic workflows, alongside traditional ML systems where appropriate.

Hiflylabs is a team of 250+ data and tech enthusiasts based in Budapest. They focus on data engineering, data science, artificial intelligence and application development, working on a wide range of projects around the world. Hiflylabs values its people and is committed to nurturing their personal and professional development through a mentoring system.

US North America

  • Enable self-service analytics for all team members by designing clean, intuitive data models and metrics through dbt, empowering employees to make informed, data-driven decisions.
  • Develop and refine custom data pipelines that ingest data from operational systems to our analytics platform, handling both streaming and batch data using third-party tooling and home-grown solutions
  • Maintain and optimize the data platform infrastructure, focusing on data quality, ELT efficiency, and platform hygiene.

Auto Integrate makes leased vehicle maintenance frictionless for millions of customers in the USA and Canada. The business is managed by a small, global team within Fleetio, combining the resources of a scaled SaaS company with the agility of a niche market leader.

US

  • Manage and guide data teams to execute on enterprise data strategy.
  • Provide technical guidance and mentor team members on data technologies.
  • Design end-to-end data processing for enterprise data warehousing.

Jobgether uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements. They identify the top-fitting candidates, and this shortlist is then shared directly with the hiring company.

US

  • Design, build, and maintain data products that support R&D, analytics, Lab, and scientific workflows.
  • Build and maintain data pipelines for large and complex datasets ensuring high data quality.
  • Partner with scientists and engineers to translate research needs into reusable data assets.

Natera is a global leader in cell-free DNA (cfDNA) testing, dedicated to oncology, women’s health, and organ health. They aim to make personalized genetic testing and diagnostics part of the standard of care to protect health and enable earlier and more targeted interventions that lead to longer, healthier lives.

Global

  • Design and develop an AI-powered productivity analytics platform.
  • Build scalable LLM pipelines and create a meta-workflow system.
  • Develop system-level prompt engineering and build an evaluation framework for AI output quality control.

Appflame is a Ukrainian product-driven tech company committed to building world-class products. They have 500+ team members and offices in Kyiv, London, Limassol, and a co-working hub in Warsaw; they value bold, driven people who are passionate about building real products.

$195,000–$240,000/yr
US

  • Build and lead a team of 4-5 data engineers focused on reusable product artifacts
  • Own the product data engineering backlog in partnership with product management
  • Define and enforce technical standards for notebooks, pipelines, QC modules, and documentation

Qualified Health is redefining what’s possible with Generative AI in healthcare. They provide the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring, working alongside leading health systems to drive real change. They are a fast-growing company backed by premier investors.

$140,400–$224,250/yr
US

  • Lead the implementation of a resilient, privacy-first data platform architecture.
  • Lead the design, infrastructure, and tooling decisions for platform optimization.
  • Develop AI-ready architecture by creating semantic layers that define and standardize business logic.

Headspace provides access to lifelong mental health support. They combine evidence-based content, clinical care, and innovative technology to help millions of members around the world get support that’s effective and personalized. They value connecting with courage, ownership, and iterating to great.

Europe Asia

  • Create innovative solutions for handling peta-bytes of data with billions of rows & joins.
  • Create real time and offline features generation pipelines to managing our data infrastructure to be reliable and fast!
  • Develop and productionize data pipelines for our ML models in both bare-metal and the cloud environment.

Kayzen is a mobile demand-side platform (DSP) dedicated to democratizing programmatic advertising. They enable leading apps, agencies, media buyers, and brands to run programmatic customer acquisition, retargeting, and brand performance campaigns through their self-serve and managed service options.

$158,000–$168,000/yr
US Unlimited PTO

  • Building and maintaining production-grade data pipelines in cloud data warehouses.
  • Designing and developing dbt models across bronze, silver, and gold layers.
  • Crafting easy-to-understand visualizations and dashboards in Looker or equivalent BI tools.

Plume is a trans-founded, mission-driven company with a vision to transform healthcare for every trans life by making gender-affirming hormone therapy easily accessible. They offer an affirming, trans-centered, culturally inclusive, and fun work environment filled with purpose.

US

  • Configure a chat client (VSCode) to interact with the configured MCP Server(s)
  • Create new MCP Tools to capture needed metrics from the running server
  • Implement the RAG workflow using the HCL Informix database, Actian MCP for HCL Informix, and the Actian HCL Vector Blade for HCL Informix.

Actian believes data should be a competitive advantage. They are a trusted leader in data management, integration, and analytics with a global team of experts and a culture of innovation.

US

  • Collaborate closely with business stakeholders to design comprehensive data solutions.
  • Design, develop, and manage robust data models in Snowflake and Iceberg utilizing dbt and advanced SQL.
  • Build and maintain data pipelines and CI/CD workflows using Airflow, Python, and Terraform.

They are a company that's using AI-driven initiatives. The company values innovation and a dynamic environment.