Senior Forward Deployed Data Scientist, AI Deployment Job at Braze (Bucharest)

Senior Forward-Deployed Data Scientist, AI Deployment

Join our Field Data Scientist group of creative technical experts who partner wi...

Location

United States , New York City

Salary:

145800.00 - 2178000.00 USD / Year

Braze

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required
Master’s or PhD in a relevant technical discipline preferred
3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments
Experience in customer-facing or consulting roles is strongly preferred
Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost)
Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
You write well-structured, modular, documented code
follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews)
and can build scalable, maintainable solutions

Job Responsibility

Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
Contribute to shaping OfferFit’s product strategy and roadmap through customer-facing insights and technical expertise
Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success

What we offer

Competitive compensation that may include equity
Retirement and Employee Stock Purchase Plans
Flexible paid time off
Comprehensive benefit plans covering medical, dental, vision, life, and disability
Family services that include fertility benefits and equal paid parental leave
Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
A curated in-office employee experience, designed to foster community, team connections, and innovation
Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
Employee Resource Groups that provide supportive communities within Braze

Fulltime

New

Senior Forward Deployed Data Scientist, AI Deployment

As our customer base continues to grow with the excitement around BrazeAI, we’re...

Location

France , Paris

Salary:

Not provided

Braze

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required
Master’s or PhD in a relevant technical discipline preferred
3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments
Experience in customer-facing or consulting roles is strongly preferred
Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost)
Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
You write well-structured, modular, documented code
follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews)
and can build scalable, maintainable solutions

Job Responsibility

Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
Contribute to shaping Braze's product strategy and roadmap through customer-facing insights and technical expertise
Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success

What we offer

Competitive compensation that may include equity
Retirement and Employee Stock Purchase Plans
Flexible paid time off
Comprehensive benefit plans covering medical, dental, vision, life, and disability
Family services that include fertility benefits and equal paid parental leave
Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
A curated in-office employee experience, designed to foster community, team connections, and innovation
Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
Employee Resource Groups that provide supportive communities within Braze

Fulltime

New

Senior Forward-Deployed Data Scientist

Join our Forward-Deployed Data Scientist group of creative technical experts who...

Location

Brazil , São Paulo

Salary:

Not provided

Braze

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required
Master’s or PhD in a relevant technical discipline preferred
3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments
Experience in customer-facing or consulting roles is strongly preferred
Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost)
Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
You write well-structured, modular, documented code
follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews)
and can build scalable, maintainable solutions

Job Responsibility

Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
Contribute to shaping BrazeAI's product strategy and roadmap through customer-facing insights and technical expertise
Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success

What we offer

Competitive compensation that may include equity
Retirement and Employee Stock Purchase Plans
Flexible paid time off
Comprehensive benefit plans covering medical, dental, vision, life, and disability
Family services that include fertility benefits and equal paid parental leave
Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
A curated in-office employee experience, designed to foster community, team connections, and innovation
Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
Employee Resource Groups that provide supportive communities within Braze

Fulltime

New

Senior Forward-Deployed Data Scientist

Join our Forward-Deployed Data Scientist group of creative technical experts who...

Location

United Kingdom , London

Salary:

Not provided

Braze

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required
Master’s or PhD in a relevant technical discipline preferred
3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments
Experience in customer-facing or consulting roles is strongly preferred
Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost)
Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
You write well-structured, modular, documented code
follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews)
and can build scalable, maintainable solutions

Job Responsibility

Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
Contribute to shaping Braze's product strategy and roadmap through customer-facing insights and technical expertise
Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success

What we offer

Competitive compensation that may include equity
Retirement and Employee Stock Purchase Plans
Flexible paid time off
Comprehensive benefit plans covering medical, dental, vision, life, and disability
Family services that include fertility benefits and equal paid parental leave
Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
A curated in-office employee experience, designed to foster community, team connections, and innovation
Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching
Employee Resource Groups that provide supportive communities within Braze

Senior Product Manager (AI Search)

At Seismic, Product Managers are at the forefront of crafting our product vision...

Location

United States

Salary:

119500.00 - 206200.00 USD / Year

Seismic

Expiration Date

Until further notice

Requirements

Academic background in Business, Economics, Mathematics, Engineering, or related STEM field
4+ years of proven software Product Management experience
2+ years of experience in information retrieval and search systems
2+ years of experience in the machine learning & data science space, ideally hands-on
Experience in Python or related languages for data analytics and machine learning
Product taste - you have a demonstrated passion for user experience and for solving customer problems and delivering software that delights users
Understand modern machine learning technologies and platforms - you understand what it takes to build & maintain AI systems that work at scale
Technical acumen – you can have credible conversations with engineer stakeholders about technical tradeoffs, technologies, scalability, etc
Strategic thinker, analytical, detail-oriented, and results-oriented with excellent problem-solving skills
Motivated self-starter able to translate uncertainty and ambiguity into clear, crisp plans. Ability to develop a strong point of view and collaborate with humility and diplomacy to drive your vision forward

Job Responsibility

Develop a deep understanding of Seismic’s product, its customers’ problems, and the Sales Enablement space to deliver solutions that drive growth and customer retention & delight
Translate product strategy into roadmaps that are informed by input from customers, cross-functional stakeholders, market and competitive research
Build a business case for investment, integrating usability studies, research, and market/competitive analysis to articulate initiative recommendations and trade-offs to leadership and cross-functional stakeholders
Develop specifications, negotiate & define scopes, and partner with our design, engineering, and data science teams to deliver new capabilities to our customers
Work hands on with data scientists to build AI & ML models and applications, both from a strategic and tactical perspective, assessing tradeoffs and evaluating results
Define and analyze key metrics that inform decision making and measure success of product initiatives
Support the go-to-market process and collaborate with Product Marketing, Sales and Customer Success to achieve launch readiness and drive adoption
Engage with customers on security and privacy matters pertaining to deploying AI models in regulated and non-regulated industries

Fulltime

New

Senior Data Scientist (NLP & LLMs)

Gong harnesses the power of AI to transform how revenue teams win. The Gong Reve...

Location

Israel , Tel Aviv

Salary:

Not provided

Gong

Expiration Date

Until further notice

Requirements

M.Sc. or Ph.D. in an exact science field or equivalent industry experience
5+ years of industry experience in data science/machine learning, including hands-on work with deep learning or large language models in real products
Practical LLM/NLP experience in building agentic workflows and NLP features end-to-end, from problem framing and data preparation to prompt/model design and production deployment
Deep familiarity with modern techniques, including RAG, fine-tuning, LLMs, as well as the evaluation frameworks required to benchmark them
Expert-level Python skills, including working with common data and ML libraries (e.g., pandas, NumPy, scikit-learn, PyTorch, Transformers, LangChain, or similar)
Proven track record designing and running large-scale experiments (e.g., offline benchmarks, prompt/model pipelines), and turning results into concrete decisions
Deep expertise in statistics and data analysis
Demonstrated skill in parsing unstructured, real-world data to uncover patterns and drive research strategy
Product mindset - Experience working with product managers and other stakeholders, with a strong sense for customer needs and value
Ability to break down ambiguous problems, propose alternatives, and help the team focus on what will move the needle for users and the business

Job Responsibility

The AI Product Lifecycle: Driving the roadmap from ideation to deployment, including defining success metrics and assessing technical feasibility for complex ML problems
Agentic Systems: Architecting the dynamic reasoning chains, tool-use logic, and multi-step workflows that power the Gong AI Assistant, enabling it to navigate complex tasks with intelligence and autonomy
Conversational Intelligence Strategy: Deep-diving into millions of calls and emails to extract key insights, ensuring our models capture the true intent and nuance of unstructured human interactions at scale
Model & Pipeline Engineering: Building robust Python environments to collect proprietary datasets, training models from scratch or fine-tuning them, and integrating LLMs into sophisticated pipelines that serve our global customer base
Temporal Context & Deal Dynamics: Developing methods to track intent and extract key insights across continuous, multi-month sales cycles, connecting the dots between multiple conversations and interactions across an entire deal journey
Applied AI Research & Implementation: Applying a versatile toolkit that includes advanced RAG, unsupervised clustering, fine-tuning custom models, and designing agentic workflows to build high-impact features
Intelligent Sales Assistance: Architecting the Gong AI Assistant to serve as a deep-research partner
you'll build models that answer complex user queries, perform deal-level research, and surface non-obvious insights that are traditionally hard to extract from raw dialogue
Technical Product Translation: Partnering closely with Product Managers to transform high-level product requirements into scalable ML solutions and production-ready model architectures
Global Sales Transformation: The features you build will directly empower thousands of companies and their sales teams, fundamentally changing how they interact with customers and close deals

Senior Product Manager (AI Search)

At Seismic, Product Managers are at the forefront of crafting our product vision...

Location

United States

Salary:

119500.00 - 206200.00 USD / Year

Seismic

Expiration Date

Until further notice

Requirements

Academic background in Business, Economics, Mathematics, Engineering, or related STEM field
4+ years of proven software Product Management experience
2+ years of experience in information retrieval and search systems
2+ years of experience in the machine learning & data science space, ideally hands-on
Experience in Python or related languages for data analytics and machine learning
Product taste - you have a demonstrated passion for user experience and for solving customer problems and delivering software that delights users
Understand modern machine learning technologies and platforms - you understand what it takes to build & maintain AI systems that work at scale
Technical acumen – you can have credible conversations with engineer stakeholders about technical tradeoffs, technologies, scalability, etc
Strategic thinker, analytical, detail-oriented, and results-oriented with excellent problem-solving skills
Motivated self-starter able to translate uncertainty and ambiguity into clear, crisp plans. Ability to develop a strong point of view and collaborate with humility and diplomacy to drive your vision forward

Job Responsibility

Develop a deep understanding of Seismic’s product, its customers’ problems, and the Sales Enablement space to deliver solutions that drive growth and customer retention & delight
Translate product strategy into roadmaps that are informed by input from customers, cross-functional stakeholders, market and competitive research
Build a business case for investment, integrating usability studies, research, and market/competitive analysis to articulate initiative recommendations and trade-offs to leadership and cross-functional stakeholders
Develop specifications, negotiate & define scopes, and partner with our design, engineering, and data science teams to deliver new capabilities to our customers
Work hands on with data scientists to build AI & ML models and applications, both from a strategic and tactical perspective, assessing tradeoffs and evaluating results
Define and analyze key metrics that inform decision making and measure success of product initiatives
Support the go-to-market process and collaborate with Product Marketing, Sales and Customer Success to achieve launch readiness and drive adoption
Engage with customers on security and privacy matters pertaining to deploying AI models in regulated and non-regulated industries

Fulltime

New

Senior Data Scientist, Platform (Integrity)

This role directly improves the safety, trust, and quality of real-world user ex...

Location

United States

Salary:

177000.00 - 208000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

5+ years of industry experience in a quantitative analysis role with a Master’s degree in a quantitative field (computer science, statistics etc.), or 2+ years of experience with a Ph.D.
State-of-the-art knowledge of AI/ML models
Hands-on experience building, evaluating, and deploying NLP and LLM-based solutions, including text classification, information extraction, semantic understanding or generative applications
Working knowledge of causal inference
Skilled in statistical programming (Python or R) and database usage (SQL)
Proven ability to communicate clearly and effectively to audiences of varying technical levels
Ability to translate complex findings and results into compelling narratives that drive impact
Excellent project management, communication, and collaboration skills

Job Responsibility

Advance Airbnb’s content integrity capabilities by building Natural Language Processing (NLP) and LLM-based models that understand intent, policy compliance, quality and risk across listings, profiles, and user communications
Develop high-performing models for detecting problematic or misleading content, including text classification, semantic similarity, information extraction and generative model-based reasoning for policy interpretation and enforcement
Design and optimize human-in-the-loop Machine Learning (ML) systems for content review, labeling, escalation and continuous model improvement
Build systems to detect emerging content risks and abuse patterns across regions, cohorts and surfaces using statistical, ML and representation-learning approaches
Design intelligent sampling and evaluation strategies to measure rare events, policy recall, false positives/negatives and model blind spots in large-scale content systems
Build and deploy production AI/ML systems for content integrity and trust content understanding, including feature engineering, model development and evaluation, thresholding, error analysis and end-to-end model lifecycle management
Partner with inference data scientists to conduct rigorous quantitative analyses, applying working knowledge of causal inference to interpret results, assess impact, and identify gaps and opportunities to improve content quality and trust outcomes
Develop frameworks to analyze tradeoffs between enforcement accuracy, user experience, operational cost and coverage, and propose strategies to optimize overall system effectiveness
Deliver robust research reports with effective data visualizations, clear storytelling and bullet-proof accuracy to drive forward impact in collaboration with cross-functional partners in product, engineering and operations
Think strategically about how to scale and evolve Airbnb’s content integrity defenses, helping define the long-term vision for the role of AI-driven content understanding across the Trust ecosystem

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

Senior Forward Deployed Data Scientist, AI Deployment

Braze

Location:
Romania , Bucharest

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 17, 2026

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