Senior Data Scientist

Senior Data Scientist - Computer Vision (Autonomous UAV)

As a Senior Data Scientist focused on Computer Vision for autonomous UAVs, you w...

Location

Vietnam , Ho Chi Minh City

Salary:

Not provided

Qualgo

Expiration Date

Until further notice

Requirements

Bachelor's degree, Master’s or PhD in Computer Science, Robotics, EE, or related field (or equivalent experience)
5–8+ years in data science/ML with a strong focus on computer vision and at least 2+ years deploying models to real-time or safety-critical systems
Proficiency in Python (preferred) and C++ for performance-critical on-board code
Deep knowledge of modern CV: detection/tracking, segmentation, depth/optical flow, VIO/SLAM, 3D geometry (camera models, epipolar geometry, PnP)
Hands-on with ROS/ROS 2 and flight stacks (PX4/ArduPilot), including time synchronization and message pipelines
Experience deploying to edge hardware (e.g., NVIDIA Jetson Orin/Xavier) with TensorRT/ONNX
comfort with quantization/pruning and memory/latency trade-offs
Strong sensor calibration experience (mono/stereo cameras, IMU, LiDAR) and fusion (EKF/UKF or learned)
Proven track record of production deployments, telemetry-driven iteration, and operating within latency, power, and thermal constraints
Excellent communication

Job Responsibility

Model Development & Deployment: Design, develop, train, evaluate, and deploy computer vision models for autonomous UAV applications
Work with large, heterogeneous datasets (real flight logs, edge cases, nighttime/thermal, adverse weather) plus simulation and synthetic data with domain randomization
Implement data preprocessing, augmentation, active learning, and scalable labeling strategies
Use PyTorch/TensorFlow and OpenCV
productionize models with ONNX/TensorRT, quantization/pruning, and other inference optimizations for edge accelerators (e.g., NVIDIA Jetson)
Integrate models into the autonomy stack (ROS 2, PX4/ArduPilot) with real-time interfaces, fault detection, and safe fallback behaviors
Deploy and monitor models in production
build telemetry loops for continuous improvement
Data Analysis & Insights: Define and track performance metrics (e.g., mAP, MOTA, latency/FPS, power/thermal budgets) and go/no-go criteria for flight
Analyze failure modes from flight tests and post-flight logs

What we offer

Meaningful work & impact: Work on products that protect users’ data and make a real difference in people’s lives
Competitive rewards: Great work deserves great rewards — enjoy competitive pay and recognition for contribution and impact you make
Growth & well-being: Fuel your growth with hands-on learning. Enjoy extra leaves, and premium healthcare for you and your family
People & workspace: Collaborate, create, and celebrate — a modern workspace built for teamwork, fun, and innovation
Young & dynamic environment: Work with stunning colleagues where creativity thrives, ideas are welcome, and every day brings new challenges and opportunities

Senior Computer Vision Scientist, 3D

Xometry is adding a Senior Computer Vision Scientist to our cost prediction team...

Location

United States , North Bethesda

Salary:

140000.00 - 182000.00 USD / Year

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

What we offer

401(k) match
medical, dental and vision insurance
life and disability insurance
generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave
EAP, other wellbeing resources

Fulltime

Senior Applied Scientist - Computer Vision for Quantum

Join Microsoft Quantum to help build the foundation for scalable quantum computi...

Location

Denmark , Copenhagen

Salary:

715600.00 - 1201100.00 DKK / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Master's or Doctorate degree in Computer Science, Physics, Electrical Engineering, Applied Mathematics, Statistics, Data Science, or a related field OR equivalent experience
Programming experience in Python, including scientific computing and development of production-quality code (testing, packaging, version control, and code review)
Experience with image processing, computer vision, or imaging-based analysis workflows
Demonstrated expertise in statistical analysis and uncertainty estimation in measurement or experimental systems

Job Responsibility

Develop and maintain scalable analysis pipelines and agentic workflows for experimental microscopy imaging and characterization data, enabling consistent and reliable interpretation of the data
Design and implement algorithms for image analysis, registration, feature extraction, and quantitative metrics, ensuring robustness, correctness, and reproducibility in production environments
Build and operationalize machine learning and AI models for feature extraction, classification, regression, or anomaly detection, ensuring interpretability, validation, and long-term reliability
Partner with physicists, hardware engineers, materials scientists, and data engineering teams to translate experimental data into actionable insights that improve product quality and yield
Design and maintain clear, interpretable data models and datasets, including handling of missing, invalid, and unprocessed data states to ensure reproducibility
Own the quality, reliability, and documentation of analytical workflows, including debugging, testing, performance tuning, and continuous improvement of production systems
Embody our culture and values

What we offer

Find additional benefits and pay information here: https://careers.microsoft.com/v2/global/en/corporate-pay/denmark-corporate-pay.html

Fulltime

Senior Data Scientist – Recommender Systems & VLMs

Mapp is a leading AI-powered retail technology company helping fashion retailers...

Location

United Kingdom; Germany , London; Munich; Berlin

Salary:

Not provided

Mapp Digital

Expiration Date

Until further notice

Requirements

Degree in a quantitative field such as Data Science, Statistics, Mathematics, Economics, Computer Science, or a related discipline
3-5 years of experience in Data Science, Machine Learning, or Product Analytics
Strong proficiency in Python (experience with PySpark is a plus)
Strong analytical and problem-solving skills
Ability to communicate technical concepts effectively to non-technical stakeholders
Proven track record of building and deploying machine learning models, ideally recommendation systems and vision language models
Experience with cloud and data technologies, such as AWS, DBT, Airflow, Databricks, and ETL pipelines

Job Responsibility

Develop and improve recommendation systems and vision language models
Design and evaluate experiments
Collaborate closely with Product and Engineering teams to shape the future of the platform
Work on high-impact initiatives
Influence strategic decisions
Drive innovation across products used by millions of consumers and leading retail brands

What we offer

Flexible Ways of Working: hybrid working model with the flexibility of remote work and access to modern office spaces
Opportunity to work remotely from another EU country for up to two weeks per year (available to employees holding an EU passport)
Compensation & Benefits package varies by location
Growth & Opportunity: meaningful responsibilities, support in professional development

Fulltime

We are seeking an experienced Senior Data Scientist to design, develop, and depl...

Location

India , Hyderabad

Salary:

Not provided

YASH TECHNOLOGIES CONSULTING INC.

Expiration Date

Until further notice

Requirements

Strong foundation in Mathematics, Statistics, and Machine Learning theory
Proficiency in Python and ML frameworks (scikit-learn, TensorFlow, PyTorch, Hugging Face)
Proven expertise in NLP, Computer Vision, or Generative AI (Transformers, RAG, LLMs, CNNs, Vision Transformers)
Hands-on experience with Big Data technologies (Spark, Hadoop, Kafka, Hive)
Strong knowledge of SQL and building data pipelines
Experience with cloud platforms (Azure ML, AWS SageMaker, or GCP AI Platform)
Hands-on experience with web/backend integration (REST APIs, Django, FastAPI, Spring Boot)
Understanding of MLOps (CI/CD, Docker, Kubernetes, model monitoring)
Bachelor’s/Master’s/PhD in Computer Science, Statistics, Mathematics, Data Science, or related field
4–7 years of experience in Data Science/AI with proven delivery of projects at scale in production environments

Job Responsibility

Design and implement advanced machine learning, deep learning, and AI models across domains such as NLP, computer vision, recommendation systems, and generative AI
Develop data strategies including preprocessing, feature engineering, and scalable data pipelines
Apply MLOps best practices for model development, deployment, and monitoring
Collaborate with stakeholders to understand business problems and define data-driven solutions
Stay current with the latest advancements in AI/ML and evaluate their potential applications
Ensure models are explainable, ethical, and compliant with regulatory requirements

Senior Data Scientist

Our current work includes: Agentic pipelines — multi-step LLM systems with tool ...

Location

Greece

Salary:

Not provided

Satalia

Expiration Date

Until further notice

Requirements

5+ years shipping ML models to production
Deep demonstrable expertise in at least one of: NLP/LLMs, computer vision, recommender systems, or causal inference
Hands-on experience with LLM fine-tuning (LoRA, RLHF, DPO) or building LLM-powered systems (agents, RAG, structured generation)
Strong software engineering habits
Comfort with ambiguity
Clear communication

Job Responsibility

Design and run training pipelines
Build and maintain production inference services
Architect agentic AI systems
Work across the stack when needed
Set technical direction for your workstream
Mentor and set quality standards for junior scientists

What we offer

Benefits healthcare
Remote working
Truly flexible working hours
Generous Leave – holidays in line with Greek Law, plus bank holidays and enhanced family leave
Impactful projects - focus on bringing meaningful social and environmental change
People oriented culture
Transparent and open culture
Development - focus on bringing the best out of each other

Fulltime

Senior Data Scientist

Our current work includes: Agentic pipelines — multi-step LLM systems with tool ...

Location

United Kingdom , London

Salary:

Not provided

Satalia

Expiration Date

Until further notice

Requirements

5+ years shipping ML models to production — you've dealt with data drift, silent failures, retraining cadences, and the gap between offline metrics and business outcomes
Deep, demonstrable expertise in at least one of: NLP/LLMs, computer vision, recommender systems, or causal inference
Hands-on experience with LLM fine-tuning (LoRA, RLHF, DPO) or building LLM-powered systems (agents, RAG, structured generation)
Strong software engineering habits — version control, testing, code review, CI/CD
Comfort with ambiguity
Clear communication

Job Responsibility

Design and run training pipelines — data curation, model selection, hyperparameter search, ablation studies — and be accountable for model quality on live traffic
Build and maintain production inference services (latency budgets, batching strategies, quantisation, monitoring) that serve WPP's global client base
Architect agentic AI systems: define tool schemas, orchestration logic, evaluation criteria, and failure modes for multi-step LLM workflows
Work across the stack when needed — write the data pipeline, train the model, build the evaluation harness, deploy the service, and debug it when metrics drift
Set technical direction for your workstream: write design docs, make build-vs-buy decisions, and defend your approach with evidence
Mentor and set the quality standards for junior scientists

What we offer

Enhanced pension
Life assurance
Income protection
Private healthcare
Remote working
Truly flexible working hours
Generous Leave - 27 days holiday plus bank holidays and enhanced family leave
Annual bonus
Impactful projects
People oriented culture

Fulltime

Senior Data Scientist

We are EDP, a global energy company present in around 29 markets with a particul...

Location

Portugal , Porto

Salary:

Not provided

EDP

Expiration Date

Until further notice

Requirements

5+ years of hands-on experience as a Data Scientist, with a strong track record in machine learning, predictive modelling, and data analysis in a fast-paced SaaS or tech environment
Demonstrated ability to take projects from raw data through to production-ready models
Experience working with structured and unstructured data at scale, including computer vision applications
Solid background in data engineering - building and maintaining reliable data pipelines - and comfort operating within modern containerized, version-controlled workflows

Job Responsibility

Design, develop, and deploy machine learning and predictive models that drive product and business decisions
Perform exploratory data analysis and translate findings into actionable insights for technical and non-technical stakeholders
Build and maintain robust data pipelines to ensure reliable, high-quality data flows across the organization
Develop and iterate on computer vision solutions, from prototyping through to production
Write clean, well-documented code in Python and SQL (PostgreSQL), following best practices with Git and Docker
Collaborate closely with engineering, product, and business teams to define problems, scope solutions, and deliver measurable impact
Contribute to the data science culture - code reviews, documentation, mentoring junior team members, and helping shape best practices

What we offer

Empower our employees through a positive and innovative work environment that promotes collaboration and agile decision-making
Respect and value each person, providing a flexible, healthy, and inclusive workplace with a range of attractive benefits
Provide a meaningful work experience and prepare our people for future challenges through different opportunities for development and internal mobility

Fulltime

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Senior Data Scientist - Computer Vision

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