Senior Web Data Scientist Job at Intercom (Dublin)

Senior Web Data Scientist

The Research, Analytics & Data Science (RAD) team at Intercom use data and insig...

Location

United Kingdom , London

Salary:

Not provided

Intercom

Expiration Date

Until further notice

Requirements

Track record working with and influencing the roadmaps of web teams
Significant experience of using AB testing to optimise website performance
Strong familiarity with Google Analytics
Excellent communication skills (technical and non-technical) and a focus on driving impact
Desire to mentor other data scientists and share best practices
Growth mindset and sense of ownership
Excellent SQL skills

Job Responsibility

Build relationships with and influence web leads from product, design and engineering to shape the strategy and roadmaps for our websites
Measure outcomes and develop success metrics to understand the impact of changes, through analysis and experimentation and collaborate with our RevOps teams to understand how our website contributes to Intercom’s commercial performance
Drive projects to improve the tools and infrastructure that data scientists use to do their work
Be a role model for more junior data scientists on the team

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
Pension scheme & match up to 4%
Life assurance, as well as comprehensive health and dental insurance for you and your dependents
Flexible paid time off policy
Paid maternity leave, as well as 6 weeks paternity leave for fathers
Cycle-to-Work Scheme
Secure bike storage

Fulltime

Senior Data Scientist

As a Senior Data Scientist, you will bridge the gap between complex datasets and...

Location

United States

Salary:

106227.00 - 167858.00 USD / Year

Wikimedia Foundation

Expiration Date

Until further notice

Requirements

Fluent in Python and Jupyter for data analysis, statistical modeling, simulation, visualization & reporting
Fluent in SQL and working with large scale data using tools such as Hive, Presto, Druid, and Spark
Experience with building dashboards & reports using tools such as Jupyter, Quarto, Superset
A solid, intuitive understanding of how websites operate (including structure, user journeys, and tracking mechanisms), combined with practical expertise in web search SEO/GEO
A Bachelor’s degree + 5 years related experience or a Master’s degree + 3 years related experience
or equivalent work experience
Excellent communication skills
You must possess the statistical nuance required to design experiments, identify statistically significant phenomena, and frame findings into clear, high-level narratives
Comfortable working in a highly collaborative, remote environment

Job Responsibility

Integrating fragmented data from our internal data lake, BigQuery, Matomo, and external intelligence tools such as Ahrefs, Semrush, and Trakkr AI among others to create a unified, granular view of how users discover and use our content across desktop and mobile domains
Translating analytics and complex trends by geography, project, and topic into actionable narratives that help leadership navigate uncertainty and prioritize high-impact interventions
Developing automated systems to detect where our content is under-indexed or missing from results, providing the data necessary to improve article coverage, alternative titles, content for the Wikimedia Foundation’s websites, and FAQ structures
Establishing the metrics and frameworks to track how our content is utilized within Large Language Models and generative search engines, directly informing high-level negotiations and the valuation of our Enterprise offerings, as well as driving grassroot donor growth
Defining Measurable Outcomes: Collaborating with product leaders to set achievable goals and drafting the instrumentation requirements necessary to track success with technical precision
Assessing the efficacy of new initiatives through the rigorous design and analysis of experiments (e.g., A/B testing) to understand their true impact on our global audience
Interpreting website performance data to uncover insights, inform UX/UI enhancements, and support strategies aimed at improving customer experience and conversion outcomes on the Wikimedia Foundation’s websites

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

Senior Data Scientist- GCP Focus (Marketing Analytics)

Ideal candidates will bring a strong quantitative background and a disciplined a...

Location

Colombia

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, supply-chain optimization, and marketing performance use cases
Contribute well-tested, maintainable code to existing object-oriented Python codebases
Analyze raw, large-scale datasets to deliver meaningful impact for enterprise clients while maintaining scientific rigor
Engineer data pipelines and data products that enable stakeholders to make informed, data-driven marketing and business decisions
Communicate analytical insights in a clear, intuitive, and visually compelling manner for marketing, product, and executive audiences
Create highly visual and interactive dashboards using Tableau, Power BI, Looker, or custom web applications
Conduct deep-dive analyses and design KPIs to measure marketing effectiveness, ROI, incrementality, and business growth

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

Senior Data Scientist, Generative AI Products

We are seeking a talented Generative AI Engineer to join our team. In this role,...

Location

United States , Boston

Salary:

Not provided

HBS

Expiration Date

Until further notice

Requirements

Minimum of seven years’ post-secondary education or relevant work experience
Advanced degree in computer science, data science, engineering, or a related field within AI/ML
3+ years of experience building (Generative) AI models and tools highly preferrable
Experience working in a similar role in a startup environment preferrable
Expertise in NLP, deep learning, and other relevant techniques
Strong programming skills in Python and frameworks like TensorFlow
Experience building advanced workflows such as retrieval augmented generation, model chaining, dynamic prompting, PEFT/SFT, etc. using Langchain and similar tools
Experience integrating AI into consumer-facing applications (front-end and back-end development for integrating AI solutions into web applications
Experience establishing model guardrails and developing bias detection and mitigation techniques for AI applications using tools (such as NeMo)
Experience with various embedding models and setting up and tuning vector databases to improve performance of semantic search and retrieval systems

Job Responsibility

Lead comprehensive applications/web development for highly complex projects
Deliver strategic and expert coding
focus on overarching development strategy for a large, complex, multi-faceted application
May manage a number of projects simultaneously
Design and implement efficient data pipelines for data collection, cleaning, labeling, and preprocessing
Ensure quality of datasets tailored for LLM training for each product
Build data science pipelines from feature generation, data visualization and models evaluation
design the solution, build code and provide documentation with ways of working to maximize time to value, re-usability, and scalability
Designing, developing, deploying, and implementing multi-agent AI tools that: Assess and provide feedback on venture-related submissions
Automatically generate pitch decks, financial projections, marketing strategies, and other materials to support entrepreneurs

What we offer

Generous paid time off including parental leave
Medical, dental, and vision health insurance coverage starting on day one
Retirement plans with university contributions
Wellbeing and mental health resources
Support for families and caregivers
Professional development opportunities including tuition assistance and reimbursement
Commuter benefits, discounts and campus perks

Fulltime

Data Scientist Senior

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

Location

Brazil

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Proven industry experience developing predictive or inferential statistical models OR a Master’s/PhD in Mathematics, Statistics, Computer Science, or similar quantitative field
4+ years of experience in data science, data engineering, or analytical roles
Experience implementing statistical and machine learning libraries and applying them effectively to real-world business challenges
Strong proficiency in SQL, Python, with the ability to interface with each component in the full pipeline from data ingestion to insight
Experience with Azure Cloud (Data Lake, Data Factory, Synapse, Databricks, Functions, etc.)
Translating compliance requirements to data artifacts and analyses that satisfy reporting requirements and systematize process monitoring
Experience working with financial services, banking, credit bureau data, or financial audit clients
Upper-intermediate English communication skills
Advanced Portuguese communication skills

Job Responsibility

Design and conduct statistical modelling based on business-level problem specifications
Design, select, and implement machine learning models for time-series forecasting, risk modeling, and root cause analysis
Analyze complex, raw data sets to uncover insights that drive meaningful impact for large enterprise clients, ensuring scientific rigor and explainability
Perform deep-dive analyses and design KPIs to guide strategic business decisions and measure outcomes from available data sources, or advocate for pragmatic data engineering to drive analytical products
Build, document, and maintain data products enabling scalable analytics and ML services
Define reporting workflows, dashboard, data visualizations, and experimental designs to systematically evaluate hypotheses pertaiing to business
Translate analytical results into intuitive insights through interactive dashboards (Tableau, PowerBI) or custom web applications
Communicate technical concepts and data-driven recommendations clearly to non-technical stakeholders, including those in financial audit functions
Gather stakeholder requirements, conduct technical due diligence, and design pragmatic, high-impact solutions for financial sector clients
Lead the creation and tracking of project timelines, dependencies, risks, and deliverables

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

Senior Data Scientist, LLM

Xometry is seeking a Senior Data Scientist to join our Generative AI team. The c...

Location

Argentina , Buenos Aires

Salary:

Not provided

Cherry Ventures

Expiration Date

Until further notice

Requirements

A bachelor’s degree is required
an advanced degree (M.S. or PhD) in computer science, data science, machine learning, or a related field is highly preferred
5+ years of experience in data science and machine learning, with expertise in Visual Language Models or multimodal machine learning
Strong experience with machine learning libraries and frameworks such as PyTorch, TensorFlow, or Hugging Face
Proficiency in Python, including libraries like pandas, numpy, and scikit-learn
Solid understanding of deep learning techniques and experience with transfer learning, fine-tuning, and model evaluation
Experience with cloud platforms (e.g., AWS SageMaker) for model training and deployment
Familiarity with data processing and visualization tools (SQL, Jupyter Notebooks, Looker, etc.) and basic database knowledge (e.g., Snowflake, MongoDB)
Excellent analytical and problem-solving skills, with a strong ability to work in an environment that values teamwork, innovation, and continuous learning

Job Responsibility

Develop, fine-tune, and evaluate Visual Language Models (VLMs) to enhance document understanding, focusing on multimodal data such as text, images, and technical drawings
Design and implement data preparation, cleaning, and augmentation processes tailored to multimodal model training, ensuring high-quality data pipelines for VLMs
Leverage transfer learning and pre-trained models to accelerate model development and optimize performance on Xometry’s specific data
Use cloud resources (e.g., Amazon Web Services) to scale training and fine-tuning processes for VLMs efficiently
Collaborate with data engineering and machine learning operations (MLOps) teams to deploy VLMs into production and monitor their performance
Interpret model outputs and improve model accuracy and robustness by applying data analysis and visualization tools (such as Python, Jupyter Notebooks, and SQL)
Experiment with and implement state-of-the-art model architectures, continuously optimizing VLM performance in a fast-paced, iterative environment
Work within a team-oriented setting, participating in peer reviews, sharing insights, and contributing to an environment of continuous learning and improvement

Senior Data Scientist, Cost Prediction

Xometry is adding a Senior Data Scientist to our cost prediction team. The ideal...

Location

United States , Lexington

Salary:

Not provided

Cherry Ventures

Expiration Date

Until further notice

Requirements

Bachelor’s degree required
degree in applied math, computer science, natural sciences or engineering preferred
M.S. or PhD in a related field highly desired
5+ years of experience with machine learning, statistical modeling, and optimization techniques
2+ years of experience in 3D deep learning
Mesh, Volumetric, and/or Point Clouds
Fluent in Python (pandas, numpy, SciPy, and scikit-learn preferred)
Proficient in linear algebra and statistics
Familiar with scientific software principals, e.g. versioning systems, reproducibility, code deployment
Experience in the manufacturing industry is desired

Job Responsibility

Use data science and machine learning principles to develop effective predictive models using 3D data
Write software to prepare, clean, and sample data for use in developing predictive models
Use cloud resources (e.g., Amazon Web Services) to prepare and process data
Query and extract data from databases (Snowflake and MongoDB)
Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and Looker) to inform the business strategy
Relentlessly iterate solutions within a fast-paced environment where ambiguity is the norm
Solve challenging, uncharted problems
Work in an environment that thrives on teamwork and continuous learning opportunities

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