Data Scientist – Partner Solutions & Use Case Demonstrations Job at Hewlett Packard Enterprise (Aguadilla)

Partner Solutions Architect

As a Partner Solutions Architect on the Applied AI team at Fireworks AI, you'll ...

Location

United States , New York; San Mateo

Salary:

Not provided

Fireworks AI

Expiration Date

Until further notice

Requirements

5+ years in technical customer/partner-facing roles (Solutions Architect, Sales Engineer, Forward Deployed Engineer, customer facing Data Scientist)
Proven ability to both build (write code, create demos, architect solutions) and evangelize (present, teach, build relationships)
Python skills and experience with cloud infrastructure (AWS, GCP, Azure)
Familiarity with LLM frameworks, ML tooling, or data science background
Track record partnering with cloud providers, SIs, or ISVs on complex technical projects
Exceptional communication skills across C-suite, engineering teams, and business stakeholders
Excitement for fast-paced environments where you balance competing priorities across engineering, partnerships, and sales

Job Responsibility

Serve as the technical authority and owner between Fireworks partnerships, product, engineering, and sales teams
Identify high value partners to develop relationships and build technical integrations with reference architectures
Embed with partner technical teams to enable their AI practices and evangelize Fireworks through their developer communities
Serve as escalation point for complex technical issues and unblock strategic customer deals
Build production-ready demos, reference architectures, and integrations with partner platforms
Develop joint solutions for high-value industry-specific GenAI applications
Codify best practices to accelerate partner and customer time-to-deployment and first-time-to-value
Present and demonstrate Fireworks capabilities at partner events, conferences, and technical workshops
Lead partner hands on workshops and developer enablement sessions
Drive technical engagement in partner slack channels and developer communities

What we offer

Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure
Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally
Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results
Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation

Fulltime

Engineering Manager II, Data & ML Systems

As an Engineering Manager on the FinTech Data & ML Systems team, you will lead a...

Location

India , Hyderabad

Salary:

Not provided

Uber

Expiration Date

Until further notice

Requirements

10+ years of experience and proven experience as a Software or Data Engineering Manager, leading teams that deliver large-scale data infrastructure or platform solutions
Deep technical expertise in distributed data systems, including data ingestion, transformation, storage, and streaming
Working knowledge of machine learning workflows and supporting infrastructure (e.g., feature engineering, model training, deployment, and monitoring)
Strong leadership, communication, and cross-functional collaboration skills — especially when partnering with analytics, data science, and product teams
Demonstrated ability to set vision, define roadmaps, and deliver data-driven solutions that support analytics and ML applications
Passion for mentoring engineers and fostering an environment of learning, innovation, and accountability
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field with 10+ years of experience

Job Responsibility

Lead a high-performing team of data engineers and platform specialists in designing, implementing, and scaling data and ML solutions that power analytics, decision-making, and automation across FinTech
Drive the architecture and delivery of robust data pipelines, feature stores, and data platforms that enable machine learning and advanced analytics use cases
Collaborate closely with product managers, data scientists, and ML engineers to define and deliver reliable data and model workflows that support critical FinTech applications
Provide technical leadership in data architecture, ETL design, model training pipelines, and productionization of ML workflows
Identify opportunities to use data and ML to solve key business challenges, improve efficiency, and unlock new capabilities across payments, compliance, and financial systems
Promote a culture of technical excellence, encouraging best practices in system design, testing, observability, and maintainability across both data and ML domains
Mentor and develop engineers, fostering a collaborative, inclusive, and high-performance culture where teams can experiment, learn, and grow
Ensure reliability and scalability of FinTech data and ML systems through strong engineering discipline and well-defined operational practices

Data Scientist 2

The Data Scientist in Technical Operations (TOPS) plays a critical role in advan...

Location

United States , Novato

Salary:

118400.00 - 162800.00 USD / Year

BioMarin Pharmaceutical

Expiration Date

Until further notice

Requirements

Master’s (minimum) in Data Science, Computer Science, Statistics, or related field
5+ years of hands-on experience delivering Data/AI solutions in an industry setting
Advanced SQL and Python for data wrangling, feature engineering, modeling, and automation
Experience developing Python based web applications using frameworks such as Dash, Flask, Streamlit
Familiarity with HTML/CSS and TS frameworks (React) is a plus
Strong experience working with Databases (Postgres, SQL Server) and Data Platforms (Azure Databricks)
Proven record of successful end-to-end data analysis project management: from problem and requirements definition to data validation and results presentation
Proficiency with one or more enterprise Business Intelligence technologies (Power BI, Tableau, Spotfire)
Solid understanding of Data modelling principles and design patterns
Proven experience building and operationalizing GenAI pipelines (Chunking, RAG, Vector index) on Databricks (Delta, Unity Catalog, MLflow, Jobs/Workflows, Spark, Lakeflow)

Job Responsibility

Identify and frame AI opportunities across Technical Development, Manufacturing, Quality, and Supply Chain
translate ambiguous problems into tractable use cases with measurable outcomes
Maintain TOPS Data Science Portfolio of Projects
Participate in Portfolio prioritization, planning, solution design, development, and deployment
Lead Projects from start to finish by closely working with stakeholders, leadership and project team
Author business case, design, development and project implementation documents
Advance the Integrated Technical Data Strategy by defining roadmaps, value hypotheses, and success metrics that strengthen process robustness, speed, and cost/value realization
Acquire and prepare multi-source technical data (e.g., MES, LIMS, QMS, ELN, SAP, PI), ensuring quality, lineage, and context for AI development at scale
Engineer domain-aware features and reusable data assets that accelerate experimentation for manufacturing, quality, and supply analytics
Build and validate ML/AI models for use cases such as process monitoring, anomaly/root-cause analysis, yield and cycle-time optimization, and intelligent document processing

What we offer

company-sponsored medical, dental, vision, and life insurance plans
paid time off
discretionary annual bonus
discretionary stock-based long-term incentives

Fulltime

Director - Quantitative Analytics

To design, develop, implement, and support mathematical, statistical, and machin...

Location

United Kingdom , London

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

A bachelor’s or master’s degree in computer science, engineering or related technical fields
Expertise in python software development, with a depth in developing concurrent software solutions in its ecosystem
Ability to decompose complex problems into practical and operational solutions with proven experience of leading teams
Excellent communicator and team player, possessing board managerial, critical problem solving, debugging and troubleshooting skills
Expertise in stakeholder management across business & technology partners with a proven ability to deliver according to the agreed timelines
Experience in MLOps is preferred along with DevOps tools such as Git, TeamCity
Experience with frameworks like kedro, mflow and platforms like databricks a plus
Experience in developing frameworks for mathematical, statistical, and machine learning models and analytics used in financial institution preferred

Job Responsibility

Drive technical architecture with technology with a keen focus on DevOps and automation across the model development & deployment life-cycle
Build & maintain analytical frameworks that promote the re-use of model calculation across multiple business use-case (e.g IFRS9, CECL, Stress testing)
Work with data scientists & quantitative model developers to drive strategic initiatives and deliver innovative financial models used for risk reporting and capital adequacy
Collaborate with Tech and Quantitative teams globally to develop and refine data science infrastructure in Python while driving the Modelling Data Strategy to support both model development and execution needs
Partner with technology to build scalable, data and analytics platforms that can connect to internal systems for pricing and/or reporting systems
Supervise a team of quantitative developers to build analytics by using distributed computing solutions in python
Design analytics and modelling solutions to complex business problems using domain expertise
Collaboration with technology to specify any dependencies required for analytical solutions, such as data, development environments and tools
Development of high performing, comprehensively documented analytics and modelling solutions, demonstrating their efficacy to business users and independent validation teams
Implementation of analytics and models in accurate, stable, well-tested software and work with technology to operationalise them

What we offer

Hybrid working
Structured approach to hybrid working with fixed 'anchor' days
Supportive and inclusive culture and environment
Commitment to flexible working arrangements
International scale offering incredible variety, depth and breadth of experience
Chance to learn from a globally diverse mix of colleagues
Encouragement to embrace mobility

Fulltime

Staff Software Engineer, Data Infrastructure

At Docker, we make app development easier so developers can focus on what matter...

Location

United States , Seattle

Salary:

195400.00 - 275550.00 USD / Year

Docker

Expiration Date

Until further notice

Requirements

8+ years of software engineering experience with 3+ years focused on data engineering and analytics systems
Expert-level experience with Snowflake including advanced SQL, performance optimization, and cost management
Deep proficiency in DBT for data modeling, transformation, and testing with experience in large-scale implementations
Strong expertise with Apache Airflow for complex workflow orchestration and pipeline management
Hands-on experience with Sigma or similar modern BI platforms for self-service analytics
Extensive AWS experience including data services (S3, Redshift, EMR, Glue, Lambda, Kinesis) and infrastructure management
Proficiency in Python, SQL, and other programming languages commonly used in data engineering
Experience with infrastructure-as-code, CI/CD practices, and modern DevOps tools
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
Proven track record designing and implementing large-scale distributed data systems

Job Responsibility

Define and drive the technical strategy for Docker's data platform architecture, establishing long-term vision for scalable data systems
Lead design and implementation of highly scalable data infrastructure leveraging Snowflake, AWS, Airflow, DBT, and Sigma
Architect end-to-end data pipelines supporting real-time and batch analytics across Docker's product ecosystem
Drive technical decision-making around data platform technologies, architectural patterns, and engineering best practices
Establish technical standards for data quality, testing, monitoring, and operational excellence
Design and build robust, scalable data systems that process petabytes of data and support millions of user interactions
Implement complex data transformations and modeling using DBT for analytics and business intelligence use cases
Develop and maintain sophisticated data orchestration workflows using Apache Airflow
Optimize Snowflake performance and cost efficiency while ensuring reliability and scalability
Build data APIs and services that enable self-service analytics and integration with downstream systems

What we offer

Freedom & flexibility
fit your work around your life
Designated quarterly Whaleness Days plus end of year Whaleness break
Home office setup
we want you comfortable while you work
16 weeks of paid Parental leave
Technology stipend equivalent to $100 net/month
PTO plan that encourages you to take time to do the things you enjoy
Training stipend for conferences, courses and classes
Equity

Fulltime

Insurance AI GTM Director

The Insurance AI GTM Director will lead AI projects and mentor teams while devel...

Location

United States , Plano

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

5+ years Insurance (P&C and/or L&A) domain experience, with deep understanding of underwriting, claims, policy administration, and distribution processes
3+ years consulting or professional services experience, delivering AI-driven transformation initiatives within the insurance industry
10+ years designing enterprise-scale data and AI solutions leveraging key data providers and hyperscalers (e.g., Snowflake, Databricks, AWS Sagemaker/Bedrock, GCP Vertex AI, Azure AI)
3+ years experience with AI frameworks and programming (e.g., PyTorch, TensorFlow, Python) for model training, fine-tuning, and evaluation
1+ years direct experience with Generative and Agentic AI, including: Advanced RAG architectures (retrieval-augmented generation), Agentic AI frameworks for workflow orchestration and autonomous decisioning, Transformer-based models (e.g., GPT-4, Claude, LLaMA) and GANs for content generation and risk modeling, Use of GenAI copilots, chatbots, and underwriting assistants tailored for insurance operations
Strong understanding of AI governance, model explainability, and compliance in regulated insurance environments
Bachelor’s degree or equivalent (minimum 12 years relevant work experience)
Ability to travel up to 10–25% as required.

Job Responsibility

Lead and oversee the delivery of AI projects within the practice, ensuring they meet quality standards and are completed on time and within budget
Develop and implement strategic plans for the AI practice, aligning with overall business objectives
Mentor and guide AI teams, fostering a culture of innovation, collaboration, and continuous improvement
Establish and maintain best practices for AI project management, including methodologies, tools, and standards
Provide technical leadership and guidance in AI technologies, including GenAI, machine learning, deep learning, and natural language processing
Ensure the technical quality of AI solutions, including architecture, design, and implementation
Stay updated with the latest advancements in AI technologies and integrate relevant innovations into the practice
Participate in presales activities, including client presentations, proposal development, and solution demonstrations
Collaborate with sales and business development teams to identify new opportunities and develop AI solutions that meet client needs
Build strong relationships with clients, understanding their business challenges and proposing tailored AI solutions

Fulltime

Senior Business Analyst - AI

Act as the vital bridge between deep technical innovation and commercial success...

Location

Australia , Surry Hills

Salary:

Not provided

Woolworths Supermarkets

Expiration Date

Until further notice

Requirements

A strong background in digital environments with the business acumen and technical know-how required to drive successful product launches
The ability to shift seamlessly between facilitating high-level stakeholder sessions and diving into the technical 'nitty-gritty' with engineering teams
A proven strategy and skill set for taking a digital idea from its initial inception through to final delivery
Demonstrated experience delivering agile initiatives within high-performing teams
A baseline understanding of how AI models function, including the distinctions between supervised learning and Generative AI
A sound understanding of integration patterns (APIs), web services, data pipelines, and the orchestration of Large Language Models (LLMs)
Understanding how to apply service design principles to create cohesive digital experiences
A data-driven mindset balanced with the confidence to make sound judgment calls when data is incomplete
Hands-on experience using Jira and Confluence for board management and project documentation
Agile Release Support: Proven experience in supporting delivery for small to medium-sized squads, including facilitating coordination across multiple teams (e.g., through Scrum of Scrums or similar scaled agile frameworks)

Job Responsibility

Serve as the critical bridge between complex technical possibilities and real-world business value, ensuring all stakeholders are aligned on the product vision
Assist the product team in building and maintaining a high-quality backlog, ensuring every requirement and user story maps directly to the broader product strategy
Partner with Data Scientists to evaluate AI use cases, determining where Generative AI or Predictive Analytics can most effectively solve high-value customer and team friction points
Collaborate with cross functional teams to identify and solve the most valuable and interesting problems through innovative digital solutions
Translate complex needs into high-quality user stories. Incorporate personas and acceptance criteria to ensure features are testable both functionally and non-functionally
Formulate detailed technical user stories for AI integrations, specifically focusing on how APIs deliver real-time data to models to personalise the customer and team journey
Ensure all collaborative decisions provide the targeted outcome for the customer, the business, and the Tribe’s mission

What we offer

A commitment to flexibility through a hybrid working model
High-impact role supporting our teams who enrich our communities
A global business with endless career possibilities around every corner and across every discipline – with valuable exposure to a vast and exciting business network
A range of programs to help you prioritise and manage your wellbeing, including 24/7 access to the Sonder app
A progressive and competitive leave policy that gives you more space for what matters to you
Team discounts across our range of Woolworths Group brands you know and love and a robust rewards program that celebrates and incentivises purpose-driven work

Fulltime

Founding Developer Relations Engineer

As the Developer Relations - Founding Role at Prior Labs, you will be the techni...

Location

Germany , Freiburg; Berlin

Salary:

Not provided

Prior Labs

Expiration Date

Until further notice

Requirements

Technical background with Bachelor's or Master's in Computer Science, Data Science, or related field
Strong Python skills and ability to write clean, functional code
Solid ML fundamentals: you understand training, fine-tuning, inference, and can work with frameworks like scikit-learn, PyTorch, or similar
Proven track record of technical work in public - we need to see your contributions (open source PRs, technical blog posts, GitHub projects, conference talks, etc.)
You've actively participated in and contributed to technical communities (GitHub, Discord, Stack Overflow, Twitter/X, Reddit, etc.)
Excellent written and verbal communication - you can explain complex ML concepts clearly to practitioners
Comfortable being a public face - you enjoy developer engagement on social media, forums, and at events
3+ years in developer relations, community management, technical content creation, ML engineering with community involvement, or similar roles where you've bridged technical and community work
Track record of creating technical content that developers actually use and reference

Job Responsibility

Be the active, helpful voice of Prior Labs across Discord, GitHub, social media, and data science communities
Provide technical support: answer developer questions, help debug issues, contribute bug fixes based on community feedback
Organize community initiatives like virtual meetups, hackathons, or ambassador programs
Participate in data science communities and competitions (Kaggle, etc.) to showcase TabPFN and build credibility
Ship technical content that helps data scientists succeed: tutorials, demos, Colab notebooks, blog posts, comparative analyses
Build resources from scratch: identify use cases, gather data, implement solutions, showcase results
Maintain and improve technical documentation based on community feedback
Experiment with TabPFN on diverse datasets to discover and demonstrate capabilities
Partner with the founding team to shape DevRel strategy and priorities
Synthesize community feedback and translate it into actionable product insights

What we offer

Competitive compensation package with meaningful equity
30 days of paid vacation + public holidays
Comprehensive benefits including healthcare, transportation, and fitness
Work with state-of-the-art ML architecture, substantial compute resources and with a world-class team

Fulltime

Data Scientist – Partner Solutions & Use Case Demonstrations

Hewlett Packard Enterprise

Location:
Puerto Rico , Aguadilla

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
June 06, 2025

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