Senior Data Scientist (ML Engineering) Job at Clear (New York)

Senior Data Scientist / ML Engineer

We have a dream: to change industries through the power of digital technology. W...

Location

Bulgaria;Colombia;Croatia;Poland;Portugal;Spain;Ukraine

Salary:

Not provided

Intellias

Expiration Date

Until further notice

Requirements

Education: Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, or a closely related quantitative field
Experience: 5+ years of professional experience in machine learning engineering, AI development, or a closely related role
Machine Learning & Statistics: Solid understanding of classical ML algorithms (e.g., tree-based models, SVMs, clustering, ensemble methods), feature engineering, model evaluation metrics, and statistical methods (hypothesis testing, regression analysis, probability distributions)
LLM Expertise: Demonstrated project experience with large language models, including prompt engineering and prompt management strategies, LLM application development (end-to-end), fine-tuning of large language models, retrieval-augmented generation (RAG) pipeline design and implementation, practical experience with vector stores such as ChromaDB, pgvector, and PostgreSQL
AI Agents: Hands-on experience building AI agents and multi-agent systems using frameworks such as LangChain, LangGraph, CrewAI, or similar orchestration frameworks
Programming: Proficiency in Python with a strong emphasis on writing clean, maintainable, production-quality code. Familiarity with software engineering best practices (testing, code review, documentation)
Cloud: Practical experience with Google Cloud Platform (GCP) services for ML workloads (e.g., Vertex AI, Cloud Run, GCS, BigQuery, Compute Engine)
DevOps & MLOps: Docker: Proficiency in containerization — building, managing, and deploying Docker images and containers. GitLab: Proficient GitLab skills for version control, merge request workflows, and repository management
API Development: Experience with FastAPI, including request validation, async handling, and integration with ML model serving
Soft Skills: Excellent communication skills, Strong work ethic and high personal accountability, Ownership mentality — takes full responsibility for deliverables and outcomes, Proactive, self-starting approach to identifying problems and driving project success without waiting for direction

Job Responsibility

Drive/Participate the ideation, development, and execution of POCs and AI related project
Develop and implement machine learning models, algorithms, and data-driven solutions to address complex business problems
Collaborate cross-functionally with engineering, product management, and other relevant teams to integrate data-driven functionalities into our products

Fulltime

Senior Data Scientist - GenAI & ML

CRU Group is seeking a technically strong, hands-on Senior Data Scientist to joi...

Location

United Kingdom , London

Salary:

Not provided

CRU International

Expiration Date

Until further notice

Requirements

MSc or higher in a quantitative discipline such as econometrics, statistics, mathematics, physics, or similar
Expert-level Python skills and strong command of the core scientific stack, including Pandas, Scikit-learn, SciPy, and NumPy
3–5+ years of experience in data science, machine learning, econometrics, or a related technical field
Proven track record of independently delivering solutions, including model design, training, evaluation, deployment, and monitoring
Strong exposure to time-series forecasting or commodity data
Creative thinker with a robust approach to data and modelling
Hands-on experience working with machine learning and LLMs
Hands-on experience building AI applications beyond simple chatbot interfaces
Goal-oriented, with a high level of energy and enthusiasm
able to operate efficiently, effectively, and professionally in a fast-paced, dynamic, results-driven business environment

Job Responsibility

Build and deliver solutions across predictive analytics, machine learning, and LLM-based AI
Design, develop, and implement bespoke ML and AI agents and multi-step workflows using modern frameworks such as LangChain, LangGraph, or similar technologies
Develop robust, scalable, production-grade Python code
Partner with senior stakeholders to translate business needs into clear technical requirements and measurable outcomes
Own delivery end-to-end, including problem framing, data discovery, model development, evaluation, integration, deployment, monitoring, and iteration
Collaborate with global teams of analysts, product managers, product modellers, and engineers to deliver high-quality, reliable solutions
Mentor team members and contribute to raising standards for technical execution and delivery discipline
Stay current with developments in machine learning, statistical learning, generative AI, LLMs, and agentic workflows, and identify practical opportunities to apply these technologies within risk and trading services

What we offer

Competitive salary and flexible benefits package
Opportunities for professional growth and development as part of a global company
A collaborative and supportive work environment
The chance to work with industry-leading experts and over a diverse range of topics and projects

Fulltime

Senior Data Scientist – AI & ML | MLOps Enablement

The Developer Platform Organization’s mission is to accelerate the delivery of r...

Location

United States , Seattle

Salary:

166000.00 - 258000.00 USD / Year

Nordstrom

Expiration Date

Until further notice

Requirements

Bachelor’s, Master’s, or PhD in Statistics, Data Science, Computer Science, Engineering, or a related technical field required
10+ years of hands-on Data Science experience with production model delivery across multiple ML (classification, ranking, NLP, time-series, recommendation) and GenAI models
Deep expertise in model evaluation — defining metrics, thresholds, and evaluation pipelines for real-world production models
Experience with Feature Store design, feature engineering, and understanding of feature freshness, reuse, and drift across different model families
Proficiency in Python with experience writing clean, maintainable, production-quality ML code
Strong understanding of ML monitoring — data drift, prediction drift, and concept drift detection
Experience with experiment tracking and model lifecycle management
Ability to translate between DS practice and platform engineering — comfortable driving design decisions, authoring DS-native documentation, and engaging in technical design reviews
Self-directed
comfortable owning POC work end-to-end without a dedicated DS team structure

Job Responsibility

Run end-to-end POC validation for new platform capabilities — Feature Store, Endpoints, Model Evaluation, AutoML, BigQuery ML etc. — independently, before they reach DS teams at scale
Attend DS team planning and design sessions as an embedded practitioner
surface real workflow pain points and translate them into reusable MLOps platform requirements
Design and own the Model Evaluation Framework — defining metrics, thresholds, and evaluation pipelines for batch, online, and streaming use cases on Vertex AI
Build model-type-aware Feature Store schemas, endpoint configurations, and evaluation pipelines that accommodate the fundamentally different needs of different ML models
Lead benchmarking of Nordstrom’s platform against industry standards — SageMaker vs. Vertex AI — across feature parity, cost, and DS practitioner ergonomics
Author DS-native documentation, onboarding guides, and quickstart notebooks that lower the adoption barrier for new platform features
Contribute DS domain expertise to the emerging Vertex AI Agentic Platform — identifying DS workflow pain points as agent use cases and defining evaluation frameworks for agentic responses
Own model card standards — capturing what actually matters to a practitioner, not just governance checkboxes
Communicate complex trade-offs and platform decisions to technical and non-technical stakeholders across DS, engineering, and leadership

What we offer

Medical/Vision
Dental
Retirement
Paid Time Away
Life Insurance
Disability
Merchandise Discount
EAP Resources
401k
performance-based incentives/bonuses

Fulltime

Senior Speech & Audio Biomarkers ML Engineer / Data Scientist / LLM Researcher

Adalyon is transforming clinical trials with a behavioural-intelligence platform...

Location

Finland

Salary:

Not provided

Life Science Talent

Expiration Date

Until further notice

Requirements

Advanced degree PhD, postdoctoral experience, or equivalent research depth in speech technology, audio signal processing, acoustics, machine learning, data science, computational linguistics, or a related field
Audio and NLP experience – You have built systems that process raw audio and transcripts to derive actionable insights. Familiarity with prosodic and spectral features, and the ability to engineer features like jitter, shimmer and harmonic-to-noise ratio, which have been shown to correlate with cognitive and emotional conditions
Speech processing toolkits: Experience with speech processing toolkits (e.g., librosa, Kaldi, Praat) and ML frameworks (PyTorch, TensorFlow, scikit-learn) is essential
LLM expertise – Hands-on experience with large language models, including prompting, fine-tuning and integrating them into downstream ML pipelines. Ability to interpret and control LLM outputs to ensure transparency and reproducibility, avoiding the unpredictable behaviour of generic LLMs
Startup mindset – Comfortable working in an agile, evolving environment. You take initiative, think creatively and can operate with limited structure. You thrive when delivering an MVP while planning for scalable solutions
Practical programming ability, ideally in Python and relevant scientific/data tooling. You do not need to be a software engineer, but you must be able to build the systems and pipelines needed for your research.

Job Responsibility

Conversational design & data pipeline
Signal processing & feature extraction
Model development & integration
Validation & evidence generation
Research & innovation

What we offer

A competitive salary package that reflects your experience and the value you create
The opportunity to work with advanced AI, acoustic analysis, and speech-based biomarker technology at an early stage
A central and highly influential role with direct access to research and technology leadership
High autonomy, high visibility, and the opportunity to shape the scientific foundation of a growing company
A dynamic and flexible startup environment with room for deep technical discussion, scientific exploration, and practical impact

Fulltime

New

Senior Data Scientist

Being part of the founding team, you will have the opportunity to shape the futu...

Location

India , Bengaluru

Salary:

25000.00 - 40000.00 USD / Year

Helpcare AI

Expiration Date

Until further notice

Requirements

3+ years of hands-on experience in data science, with a focus on Big Data Exploration, Summarization, and ML Deployment
Successfully delivered at least one product or pivotal feature, actively involved in business problem identification, researching, sourcing necessary data, and constructing data pipelines
Strong grasp of end-to-end data science practices, encompassing data cleaning, exploratory data analysis (EDA), feature engineering, model training, testing, and deployment using ML libraries and frameworks in Python
Adept at utilizing SQL for comprehensive analysis

Job Responsibility

Build novel predictive models on real-time data streams
Develop and deploy machine learning models at scale, navigating the challenges presented by large and complex datasets
Actively assist in building systems to continuously track model performance, ensuring models remain effective in dynamic environments
Communicate findings and insights to technical and non-technical stakeholders
Implement effective debugging tools and practices to diagnose and address performance issues or unexpected behaviors
Maintain up-to-date documentation on model maintenance procedures, troubleshooting guides, and best practices

Fulltime

New

Senior Data Scientist

The Senior Data Scientist is a hands-on technical role responsible for designing...

Location

United Kingdom , Chester

Salary:

70000.00 GBP / Year

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

Strong hands-on data science and ML experience, with the ability to design end-to-end models, write production-quality code, and make independent modelling and architecture decisions
Advanced Python and SQL, including pandas, scikit-learn, and XGBoost/LightGBM
Experience in at least two of the following: forecasting, segmentation, recommender systems, ranking, or behavioural modelling
Proven delivery of ML projects end to end, from problem framing and exploratory analysis to production deployment
Ability to translate business problems into well-scoped data science solutions, prioritising commercial impact over technical novelty
Strong communicator, able to explain models and insights to non-technical stakeholders across product, commercial, and engineering teams
Experience deploying and maintaining models (monitoring, retraining, MLOps)
Familiar with modern tooling (cloud ML, experiment tracking, feature stores) and scalable engineering practices

Job Responsibility

Build & Deliver Impactful Solution: Design, build, and ship machine learning models that address real commercial problems, taking ownership of the work from initial framing through to a validated solution in production
Work closely with product, commercial, and engineering colleagues to scope problems well, contributing technical input early so the team commits to work that is both feasible and valuable
Translate business challenges into clear data science work, defining scope, success measures, and trade-offs in plain language
Contribute to where data science can add the most value next - pricing, personalisation, forecasting, owner and guest experience, and bring strong ideas to how those problems are approached
Collaborate & Lead Technically: Act as a senior technical contributor, setting a high bar for code quality and modelling rigour to help shape how the team approaches its work
Communicate your work clearly: write up model behaviour and results, present in roadmap and review forums, and keep colleagues informed and confident in what the team is delivering
Mentor less experienced data scientists through code review, pairing, and technical guidance, and act as a trusted point of contact for product, engineering, and commercial colleagues working with the team
Run Reliable Models in Production: Keep the models you build running reliably in production: set up monitoring, alerting, and drift detection, track performance, and manage the retraining cadence that keeps them healthy
Work to and help uphold the team’s standards for code review, model documentation, reproducibility, testing, and deployment, so quality stays consistent across the function
Work with data engineering and platform teams on MLOps tooling and infrastructure, and help respond to incidents affecting live models

What we offer

Annual bonus scheme based on company performance
33 days’ holiday (including bank holidays), plus up to 5 extra with long service
Option to purchase extra holiday days if you wish
A day off for your birthday
2 volunteering days per year
Enhanced parental leave (24 weeks maternity, 3 weeks paternity at full pay)
Pension scheme with employer contributions
Discounted and last-minute stays at Forest Holidays and Sykes Cottages for you, your friends & family
Special offers and discounts designed to enhance your overall wellbeing
Health cash plan & life assurance

Fulltime

Senior Data Scientist

We are looking for an experienced Senior Data Scientist to drive advanced analyt...

Location

Kosovo

Salary:

Not provided

Valtech

Expiration Date

Until further notice

Requirements

Strong experience in machine learning, statistics, and applied data science
Experience with causal inference, experimentation, or decision science methodologies
Solid understanding of forecasting, optimization, or analytical modeling techniques
Strong programming skills in Python and SQL
Experience building and deploying production-ready data science or ML systems
Familiarity with model lifecycle management (training, deployment, monitoring)
Hands-on experience with at least one major cloud platform: Azure (preferred), AWS, or GCP
Experience working with modern data and AI platforms (e.g., Azure ML / Azure AI, Databricks, or similar ecosystems)
Experience working with complex, multi-source datasets (e.g., transactional, behavioral, operational data)
Ability to translate business problems into analytical frameworks

Job Responsibility

Develop and deploy machine learning models across use cases (forecasting, optimization, recommendation systems)
Apply statistical, predictive, and prescriptive modeling techniques to solve business problems
Build reusable modeling frameworks that can scale across multiple domains
Design and implement causal inference methods (e.g., uplift modeling, experiments, quasi-experimental methods)
Translate observational and experimental data into actionable business insights
Embed causal reasoning into decision systems that guide actions (e.g., optimization, prioritization, trade-offs)
Integrate GenAI capabilities (e.g., LLMs, RAG pipelines, agent-based systems) into data science workflows
Contribute to the development of intelligent agents and AI-assisted decision-making systems
Combine structured data models with unstructured data and GenAI outputs
Build forecasting models (time-series, probabilistic, causal) to support planning and operations

What we offer

Health insurance that guarantees fast access to contracted health services
Vacation Plan
Subsidy for study materials, trainings, conferences and events that will contribute to your development
Hybrid Working model
Performance Evaluation Process that paves the roadmap for a personal and professional career development
Refreshments and fruit in the office
Team gatherings and parties organized and subsidized by the company

Fulltime

Senior Data Scientist - Applied AI

Working at Uber means solving hard problems in a high-stakes, fast-moving enviro...

Location

Brazil , Sao Paulo

Salary:

Not provided

Uber

Expiration Date

Until further notice

Requirements

5+ years of experience (or Ph.D. equivalent) in an Applied Science, Machine Learning, or Data Science role
Specialized domain expertise in Ranking, Recommender Systems (RecSys), or Search
Proven experience in training and deploying Deep Learning models at scale within a production environment
Proficiency in Python and SQL with experience handling large-scale datasets using Spark, Hive, or PySpark
Solid understanding of statistical methods, experimental design, and A/B testing
BSc., M.S., or Ph.D. in Computer Science, Machine Learning, Statistics, Economics, or a related quantitative field

Job Responsibility

Design and implement ML models and objective functions that unify competing business interests like organic relevance and sponsored content into a single value space
Act as the science lead for foundational machine learning initiatives, unblocking technical debt and optimizing feature engineering for high-scale, real-time systems
Navigate the ambiguity of user behavior by designing sophisticated experiments and causal inference frameworks that go beyond standard A/B testing
Collaborate across disciplines (Product, Engineering, and Data Science) to translate high-level business goals into theoretically sound and performant technical roadmaps
Research and apply advancements in Deep Learning, Reinforcement Learning, and GenAI to solve complex, high-impact problems without a clear starting point
Own your models end-to-end, from the first scientific hypothesis to debugging production issues in real-time, low-latency environments

Fulltime

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Senior Data Scientist (ML Engineering)

Job Description

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What we offer

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