Senior Data Scientist – Business Analytics

Senior Data Scientist / AI Consultant – Security & Risk Analytics

Senior Data Scientist / AI Consultant – Security & Risk Analytics. Hybrid – 3 da...

Location

Ireland , Dublin 18

Salary:

100000.00 EUR / Year

Solas IT Recruitment

Expiration Date

Until further notice

Requirements

Proven experience delivering end-to-end ML and DL solutions in production environments
8+ years commercial experience
Strong programming skills in Python and solid SQL expertise
Experience with Generative AI, including LLMs, RAG, vector databases, and agent-based frameworks
Strong analytical thinking with the ability to communicate insights to both technical and non-technical stakeholders
Hands-on experience in data preparation, feature engineering, and model evaluation
A proactive and solution-oriented mindset, comfortable working in fast-paced environments

Job Responsibility

Translate complex business challenges into data-driven solutions using ML, DL, and GenAI techniques
Manage the full model lifecycle including data exploration, feature engineering, modelling, validation, and deployment
Build classification and scoring models, effectively handling incomplete or ambiguous datasets
Develop explainable AI outputs to support business decision-making
Deploy and monitor models to ensure performance, scalability, and reliability
Prototype new concepts and evaluate emerging tools and frameworks
Collaborate with engineering and product teams to deliver scalable, production-ready systems
Support data pipelines, cloud platforms, and CI/CD processes for analytics workloads

What we offer

Excellent salary package
Great benefits
Very good career progression

Fulltime

Senior Data Scientist AI Tooling

Fin is the AI Customer Agent company on a mission to help businesses provide per...

Location

Ireland , Dublin

Salary:

Not provided

Intercom

Expiration Date

Until further notice

Requirements

Proven track record of applied data science with measurable GTM impact - you've shipped models or tools that moved metrics like conversion, cycle time, or retention
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
Unlimited access to Claude Code and best-in-class AI tools
weekday lunch plus snack foods and fully stocked kitchen
Regular compensation reviews
Life assurance
Comprehensive health and dental insurance for you and your dependents
Open vacation policy and flexible holidays
Paid maternity leave
6 weeks paternity leave
MacBooks or other equipment

Fulltime

Senior Data Scientist AI Tooling

Fin is the AI Customer Agent company on a mission to help businesses provide per...

Location

United Kingdom , 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

Fulltime

Data Scientist, Business Analytics and Industrial Engineering

Software Resources has an immediate, contract job opportunity for a Data Scienti...

Location

United States , Orlando

Salary:

Not provided

Software Resources

Expiration Date

Until further notice

Requirements

Must have proficiency with data mining, mathematics, machine learning, and statistical analysis
Must have experience and proficiency using machine learning platforms (e.g., AzureML), process automation platforms (e.g., MS Power Automate, etc.), application development platform (e.g., Power Apps, etc.), data querying and scripting/programming tools (e.g., SQL, Python, etc.), business intelligence/data visualization software tools (e.g., Power BI, Tableau, etc.), and statistical modeling software applications (e.g., R, etc.)
Proven strong PC skills including spreadsheets, databases, and presentation graphics software
Demonstrated leadership ability and/or previous managerial experience
Strong coaching/mentoring skills and Leadership experience in continuous improvement
Strong critical thinking and creative problem solving skills
Demonstrated superior conceptual thinking skills and the ability to work through complex problems
Capable of communicating and expressing ideas clearly and concisely, in both written and oral formats
Strong communication skills with the ability to convey complex findings to both technical and non-technical stakeholders
Ability to work collaboratively in a team environment, work in a fast-paced environment and under changing conditions

Job Responsibility

Formulate and apply advanced analytical approaches, such as causal and time series forecasting modeling, econometric methods, machine learning modeling, mathematical optimization, for complex analyses, predictions and problem-solving
Perform data and error analysis to improve models
Assist in collecting, cleaning, and organizing data
Analyze large structured and unstructured datasets to identify trends, patterns, and insights
Identify causes of variability, test new features, and integrate into code
Use business intelligence tools to create and maintain clear and compelling reporting and visualizations to communicate complex findings to technical and non-technical stakeholders
Explore new, state-of-the-art analytical tools, methodologies, and technology that can be leveraged by our team
Lead and manage interns, co-ops, Analysts, Engineers and/or Associate Data Scientists
Develop analytical and predictive models and solutions for any and all operating divisions within Destinations & Experiences (UDX) to support key decisions

What we offer

Medical, dental, and vision coverage
401(k) with company match
Short-term disability
Life insurance with AD&D

Fulltime

Senior Data Scientist – People Analytics

AMD is seeking a highly skilled People Analytics Data Scientist to join our grow...

Location

United States , Austin

Salary:

91520.00 - 137280.00 USD / Year

AMD

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, Industrial & Organizational Psychology, or related field
Experience in People Analytics
Experience in data science and advanced analytics
Hands-on experience building models using tools such as Dataiku, Python, R, or similar platforms
Intermediate expertise in Power BI (data modeling, DAX, dashboard design, performance optimization)
Basic understanding of statistical methods, machine learning, and experimental design
Proven ability to translate data into business insights and influence decision-making
Experience working with large, complex datasets across multiple sources
Experience in People Analytics or HR data domains (e.g., talent management, engagement, workforce planning)
Familiarity with HR systems (e.g., SAP SuccessFactors, Workday)

Job Responsibility

Design and deliver analysis to influence decisions on talent strategy, workforce planning, engagement, and organizational design
Build and scale repeatable analytics solutions and data products
Partner with HR and business leaders to define key business questions and deliver data-driven recommendations
Design and deliver AI agents to streamline data delivery and analysis for talent processes
Collaborate with HR data engineering team to ensure data quality, governance, and accessibility
Build proficiency in AMD AI tools and models
Help shape the long-term People Analytics strategy at AMD

Fulltime

Senior Data Scientist - Social Analytics

We’re building a Frontier Marketing organization that learns fast and executes w...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
OR equivalent experience.
3+ years of experience ingesting, cleaning, and analyzing largescale social media data, including unstructured and semi-structured signals (e.g., posts, comments, engagement metadata), with attention to data quality, bias, and analytical fitness for use.
3+ years of experience applying social network analysis algorithms including community detection, centrality metrics, influence propagation models, graph-based clustering methods.
3+ years of experience applying statistical or machine learning techniques to social or behavioral analytics problems.
3+ years of experience with advanced visualization techniques for social analytics and tools such as PowerBI.

Job Responsibility

Own and deliver complex social analytics problem spaces end-to-end, leveraging strong analytic judgement while framing ambiguous business questions into clear analytical objectives and success measures
Apply advanced social network analysis methods (graph analytics, community detection, influence/diffusion modeling) and statistical techniques to understand engagement, behavior, and diffusion patterns to develop actionable insights
Evaluate and extract insights from noisy, large-scale and unstructured data, developing new methods to improve analytical quality and relevance
Collaborate with analysts and partners to translate data science solutions into scalable, self-serve analytics experiences
Drive execution independently, with minimal guidance, identifying key risks, dependencies, and trade-offs to ensure timely, high-impact delivery.
Partner directly with marketing, public relations, and product stakeholders to translate business questions into data science approaches, influencing decisions through explaining trade-offs and implications of data science results
Communicate complex findings clearly through narratives, visualizations, and executive-ready materials, translating technical results into business terms and clear recommendations
Serve as a technical thought leader and mentor across the team by setting high standards for data science quality, documentation and reproducibility, raising the overall bar for rigor and creativity.

Fulltime

Senior Data Scientist, GTM Analytics

We’re looking for talented Data Scientist who can push the boundaries of our exi...

Location

Singapore , Singapore

Salary:

Not provided

Airwallex

Expiration Date

Until further notice

Requirements

5+ years of industry experience and an advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Engineering, Economics, or a related discipline)
Strong analytical intuition and structured problem-solving
Excellent communicator and storyteller—able to translate technical work into crisp, actionable recommendations for both technical and non-technical stakeholders, including executives
Deep curiosity about GTM performance and customer behavior
Strong foundations in causal inference and forecasting, with experience applying methods such as DiD, synthetic control, and modern ML-based approaches to real business problems
High fluency in analytics tooling—strong SQL skills and proficiency in Python and/or R for analysis, modeling, and automation

Job Responsibility

Translate complexity into action: Turn complex statistical and modeling results into clear, compelling, and actionable narratives for cross-functional partners and executive audiences
Uncover and scale revenue insights: Lead proactive, exploratory analyses to identify latent revenue levers, emerging trends, and root causes behind shifts in key GTM metrics—and operationalize these learnings into repeatable workflows, automated pipelines, and scalable data science operating models
Build revenue forecasting and performance insights: Develop and own revenue forecasting and forward-looking performance insights (e.g., pipeline health, conversion and retention drivers, scenario planning), providing a reliable “source of truth” that helps teams make faster, better commercial decisions
Apply advanced causal inference: Use advanced observational causal inference methods (e.g., DiD, synthetic control, DoubleML) to estimate impact and inform decisions when randomized experiments are infeasible
Embed AI into commercial workflows: Design and deploy AI-enabled solutions across the sales and customer lifecycle—enhancing sales calls and coaching, improving sales effectiveness, and generating proactive, transaction-based customer insights to drive retention and expansion

Fulltime

Senior Data Scientist –GCP Focus (Marketing Analytics)

At Valtech, you’ll find an environment designed for continuous learning, meaning...

Location

Brazil

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Hands-on experience with GCP services used in production analytics environments, including BigQuery, Vertex AI, Looker, Pub/Sub, Cloud Functions, Cloud Storage, and Cloud Run (or equivalent deployment/runtime patterns)
Proven experience building marketing mix models, attribution models, or other statistical/ML models using marketing or media data (e.g., paid media, campaign performance, digital channels, or customer journeys)
Proven industry experience developing predictive or inferential statistical models or a Master’s/PhD in a quantitative field such as Engineering, Mathematics, Statistics, Computer Science, or related disciplines
Deep understanding of causal inference, time-series analysis, or econometric techniques as applied to marketing analytics
Experience applying statistical and machine learning libraries effectively to real-world business and marketing problems
Proficiency in SQL, Python, and/or R, with the ability to execute end-to-end data ingestion through insight generation
Experience defining and reporting model performance and business impact metrics (e.g., precision/recall, MAPE, ROI, incrementality), including documented backtesting
Experience delivering production model artifacts such as model cards, registry updates, confidence intervals, and guardrail-aware recommendations
4+ years of experience in similar data science, marketing analytics, or advanced analytics roles
Advanced English proficiency

Job Responsibility

Contribute to production readiness through monitoring
incident response support
and operational runbooks to meet agreed service levels
Conduct root-cause analysis of production issues that lead to adverse model outputs
Design
build
and optimize marketing mix models (MMM)
attribution models
and other econometric or causal models using marketing data
Select and implement appropriate machine learning models for time-series forecasting

What we offer

Flexibility
with remote and hybrid work options (country-dependent)
Career advancement
with international mobility and professional development programs
Learning and development
with access to cutting-edge tools
training and industry experts

Fulltime

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Senior Data Scientist – Business Analytics - AI

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