AI Data Scientist Job at Talan (Warsaw)

Senior Data Scientist - AI Tooling

The Research, Analytics & Data Science (RAD) team turns insight into action. We ...

Location

Ireland; United Kingdom , Dublin; London

Salary:

Not provided

Intercom

Expiration Date

Until further notice

Requirements

Proven track record of applied data science with measurable GTM impact
LLM/ML application experience - familiarity with RAG, prompt and tool design, vector search, evals and have leveraged AI for development
Excellent SQL skills and fluency in Python or R, with experience applying analytical and statistical methods to business problems
Experience with orchestration tools (e.g., DBT, Airflow) for deploying reliable data workflows
Strong communication and empathy - ability to translate complex data concepts for non-technical stakeholders
Collaborative product mindset - comfort working closely with Sales and Success teams to turn ambiguity into clear deliverables

Job Responsibility

Design, evaluate, and ship AI-powered internal tools for GTM use cases - including account research & summaries, next-best-action recommendations, renewal propensity, pipeline risk detection, QBR/autobrief generation, and post-call summarization & follow-ups
Work end-to-end: Own the full lifecycle, from problem definition and data modeling to building production-ready tools, including writing Python backends and React frontends
Prototype fast, ship to learn: Rapidly build with users, then productionize quickly to iterate and deliver impact
Instrument for adoption and outcomes: Define success through real usage and measurable business impact (e.g., improved win rate, conversion, expansion)
Evangelize and enable: Document playbooks, run enablement sessions, and help leaders operationalize new tooling across teams

What we offer

Competitive salary and equity in a fast-growing start-up
We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen
Regular compensation reviews - we reward great work
Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents
Open vacation policy and flexible holidays so you can take time off when you need it
Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones
MacBooks are our standard, but we’re happy to get you whatever equipment helps you get your job done

Senior Data Scientist - AI Tooling

The Research, Analytics & Data Science (RAD) team turns insight into action. We ...

Location

Germany , Berlin

Salary:

Not provided

Intercom

Expiration Date

Until further notice

Requirements

Proven track record of applied data science with measurable GTM impact
LLM/ML application experience - familiarity with RAG, prompt and tool design, vector search, evals and have leveraged AI for development
Excellent SQL skills and fluency in Python or R, with experience applying analytical and statistical methods to business problems
Experience with orchestration tools (e.g., DBT, Airflow) for deploying reliable data workflows
Strong communication and empathy - ability to translate complex data concepts for non-technical stakeholders
Collaborative product mindset - comfort working closely with Sales and Success teams to turn ambiguity into clear deliverables

Job Responsibility

Design, evaluate, and ship AI-powered internal tools for GTM use cases - including account research & summaries, next-best-action recommendations, renewal propensity, pipeline risk detection, QBR/autobrief generation, and post-call summarization & follow-ups
Work end-to-end: Own the full lifecycle, from problem definition and data modeling to building production-ready tools, including writing Python backends and React frontends
Prototype fast, ship to learn: Rapidly build with users, then productionize quickly to iterate and deliver impact
Instrument for adoption and outcomes: Define success through real usage and measurable business impact (e.g., improved win rate, conversion, expansion)
Evangelize and enable: Document playbooks, run enablement sessions, and help leaders operationalize new tooling across teams

What we offer

Competitive salary, annual bonus and equity
Regular compensation reviews
Generous paid time off above statutory minimum
Hybrid working
MacBooks are our standard, but we also offer Windows for certain roles when needed
Fun events for Intercomrades, friends, and family

Fulltime

Data Scientist - AI

The Data Scientist builds from the ground up to meet the needs of mission-critic...

Location

Puerto Rico , Aguadilla

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor’s degree in computer science, engineering, information systems, or closely related quantitative discipline. Master’s desirable
Typically, 4-7 years’ experience
Strong background in statistical and machine learning techniques such as anomaly detection, clustering and ranking of events, time series analysis, event stream mining, hypothesis testing, causal inference, deep learning
Great at communicating concepts and results
strong data visualization skills
Expert Python coder (PySpark, Scikit-learn)
experience with software engineering best practice
Relevant industry experience in data science, machine learning
Experience with online learning algorithms, reinforcement learning, semi-supervised learning, or mixed time-series/event streams
Experience with Agentic AI

Job Responsibility

Work with domain experts to identify and formalize machine learning problems for wireless and wired network diagnostics, root causing, problem remediation, and optimization
Discover new problem signatures in customer networks
Design, implement, and validate machine learning algorithms on big data
Guide and oversee deployment of implemented machine learning solutions and monitor their operation
Use Agentic AI to solve networking problems
Analyses the feature specifications and determines the required coding, testing, and integration activities
Designs and develops moderate to complex cloud application modules per feature specifications adhering to security policies
Identifies debugs and creates solutions for issues with code and integration into application architecture
Develops and executes comprehensive test plans for features adhering to performance, scale, usability, and security requirements
Deploy cloud-based systems and applications code using continuous integration/deployment (CI/CD) pipelines to automate cloud applications' management, scaling, and deployment

What we offer

Health & Wellbeing
Personal & Professional Development
Unconditional Inclusion

Fulltime

Senior Data Scientist - AI Modeling

As a Senior Data Scientist specializing in AI Modeling, you will develop and imp...

Location

United States

Salary:

104000.00 - 143000.00 USD / Year

Baxter

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in STEM or a similar quantitative analytics field
4+ years of professional experience with a variety of data products/data science model/algorithm development and implementing in production
Software development experience
Experience with healthcare data and working in a HIPAA regulated environment preferred
Experience with varying database structures and large datasets preferred
Experience with modern data science tools including Spark, Scala, Python, Databricks, and more
Experience in Microsoft Azure cloud environment preferred
Proficiency with developing data visualization technology and capabilities such as Power BI and Tableau
Entrepreneurial self-starter, curious about both technology and business, and driven by delivering end-user value and impact.

Job Responsibility

Development and implementation of predictive modeling algorithms and techniques to address unmet needs, customer/business problems, and optimize user experiences
Conduct research to stay at the forefront of AI advancements
Predictive and generative AI Modeling
Formulate problem statements and hypotheses for diverse business challenges
Create Spark & Python code in Databricks to retrieve data and create actionable insights
Prepare data for effective model training
Develop, train, and evaluate predictive AI models
Continuously refine and optimize models
Deploy models into production environments and supervise their performance
Identify opportunities for generative AI models

What we offer

Comprehensive compensation and benefits packages
Health and dental coverage starting on day one
Basic life, accident, short-term and long-term disability insurance
Business travel accident insurance
Employee Stock Purchase Plan (ESPP) with discounted company stock
401(k) Retirement Savings Plan with employee contributions and company matching
Flexible Spending Accounts
Educational assistance programs
Paid holidays
Paid time off ranging from 20 to 35 days

Fulltime

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

Forward-Deployed Data Scientist, AI Deployment

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

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

Junior Data Scientist - AI

Hewlett Packard Enterprise (HPE) is seeking a Junior Data Scientist - AI to desi...

Location

United States , San Juan

Salary:

Not provided

Hewlett Packard Enterprise

Expiration Date

Until further notice

Requirements

Bachelor's degree in computer science, engineering, information systems, or closely related quantitative discipline
typically, 2-4 years’ experience
strong background in statistical and machine learning techniques such as anomaly detection, clustering and ranking of events, time series analysis, event stream mining, hypothesis testing, causal inference, deep learning
great at communicating concepts and results
strong data visualization skills
expert Python coder (PySpark, Scikit-learn)
experience with software engineering best practice
relevant industry experience in data science, machine learning
experience with online learning algorithms, reinforcement learning, semi-supervised learning, or mixed time-series/event streams
experience with Agentic AI

Job Responsibility

Works with domain experts to identify and formalize machine learning problems for wireless and wired network diagnostics, root causing, problem remediation, and optimization
discover new problem signatures in customer networks
design, implement, and validate machine learning algorithms on big data
guide and oversee deployment of implemented machine learning solutions and monitor their operation
use Agentic AI to solve networking problems
analyses the feature specifications and determines the required coding, testing, and integration activities
designs and develops moderate to complex cloud application modules per feature specifications adhering to security policies
identifies debugs and creates solutions for issues with code and integration into application architecture
develops and executes comprehensive test plans for features adhering to performance, scale, usability, and security requirements
deploy cloud-based systems and applications code using continuous integration/deployment (CI/CD) pipelines to automate cloud applications' management, scaling, and deployment

What we offer

comprehensive suite of benefits supporting physical, financial and emotional wellbeing
specific programs catered to helping reach career goals
unconditional inclusion.

Fulltime