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Data science

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365 jobs found.

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🔥 Senior Data Scientist (NLP)

Posted about 1 hour ago

📍 Poland

🧭 Full-Time

💸 26000.0 - 35000.0 PLN per month

🔍 EdTech

🏢 Company: Brainly👥 251-500💰 $80,000,000 Series D about 4 years ago🫂 Last layoff over 2 years agoEducation EdTech Communities E-Learning Apps Social Network Peer to Peer Software

🔧 Requirements

Advanced degree (Engineering, Master's or Ph.D.) in Computer Science, Mathematics, Statistics, or a related quantitative field with a strong focus on Machine Learning and/or Natural Language Processing.
5+ years of experience as a Data Scientist or Machine Learning Engineer, with a demonstrable focus on NLP and/or mathematical problem-solving.
Experience with cloud platforms such as AWS and/or Google Cloud Platform.
Proficiency in Python and relevant libraries (e.g., PyTorch, TensorFlow, Langchain).
Deep understanding of machine learning algorithms, particularly in NLP and their application to complex reasoning tasks.
Strong mathematical foundation and analytical skills.
Excellent research and experimentation skills, including design, execution, and analysis.
Strong communication and collaboration skills, with the ability to explain complex technical concepts to diverse audiences.
Fluency in English.

💡 Responsibilities

Investigate, implement, and evaluate novel techniques for math problem understanding, reasoning, and solution generation using Large Language Models and other relevant AI approaches.
Design, execute, and analyze experiments to develop and refine machine learning models for math question answering, ensuring rigorous experimentation processes and statistically sound conclusions.
Explore and analyze large datasets of math questions, solutions, and student interactions to identify patterns, improve model performance, and discover opportunities for enhancing our math knowledge base.
Work closely with Senior Machine Learning Engineers to integrate developed models and algorithms into the production math answering system, ensuring scalability, reliability, and performance.
Actively contribute to the definition of the Q&A Knowledge Base ML team roadmap, identifying key deliverables and strategic directions for improving Brainly's math capabilities.
Effectively communicate research findings, model performance, and project progress to technical and non-technical stakeholders across the company.
Champion and ensure adherence to high standards of statistical and scientific rigor within the team's research and development processes.
Stay up-to-date with the latest advancements in LLMs, mathematical AI, and relevant technologies, and evaluate their potential application to Brainly's math answering challenges.

AWS Python Cloud Computing Data Analysis Machine Learning Numpy PyTorch Algorithms Data science Tensorflow Communication Skills Analytical Skills Problem-solving skills Research Fluency in English

Posted about 1 hour ago

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🔥 Director of Data Engineering (Remote USA)

Posted about 3 hours ago

📍 United States

💸 92000.0 - 180000.0 USD per year

🔍 Software Development

🔧 Requirements

Strong experience leading/managing a team of software engineers to develop applications
Ability to work closely with other leaders to scale our technology and the Engineering organization
Ability to work closely with key internal stakeholders to develop and manage the engineering roadmap
Ability to drive technical projects and planning
Strong communication skills; able to disseminate information across the organization and have strategic influence
A minimum of 7 years’ experience developing production-grade systems
A minimum of 5 years’ experience managing developers and DevOps teams

💡 Responsibilities

Define and enforce IT policies related to cloud security, software development and DevOps best practices to ensure scalable and secure systems
Provide strategic support and challenge decisions through thought-provoking questions.
Understand data governance; create and maintain policies and procedures while implementing data management systems and ensuring compliance with regulations.
Simplify complex problems to make them manageable for the organization
Drive organizational change effectively
Foster strong cross-functional communication and collaboration
Lead software engineering teams in cloud-native environments, particularly Microsoft Azure
Drive the adoption of cloud best practices, microservices, and scalable architecture
Establish coding standards, best practices, and governance policies to ensure maintainable, scalable, and secure software solutions.
Cloud Optimization – Ensure efficient use of Azure services while optimizing performance, scalability, and cost.
Effectively manage remote engineers
Provide technical and organizational leadership across the engineering team
Coach/mentor team members to encourage professional and career growth

Leadership Software Development SQL Cloud Computing ETL Machine Learning Microsoft Azure People Management Cross-functional Team Leadership Algorithms Azure Data engineering Data science Communication Skills Analytical Skills CI/CD DevOps Microservices Data visualization Stakeholder management Data modeling Data management

Posted about 3 hours ago

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🔥 Senior Consultant, Discovery & Translational Science Consulting

Posted about 5 hours ago

📍 United States of America

🧭 Full-Time

🔍 Biotechnology, Pharmaceutical, Healthcare

🏢 Company: clarivate_careers

🔧 Requirements

PhD (or equivalent work experience) in Bioinformatics, Computational or Systems Biology, Statistics, Machine Learning, Computer Science (latter two as applied to solving problems in areas of biology or medicine) or a related field.
A minimum of five years of relevant work experience in bioinformatics or computational biology in professional setting, preferably in a biotechnology, pharmaceutical, or healthcare setting.
Experience working in a customer-oriented consulting environment: an ability to earn customer trust through effective communication, efficiency, integrity, and deep technical expertise.
Proficiency in statistical programming languages (R), Unix/Linux shell with a strong understanding of statistics and biological data analysis.

💡 Responsibilities

Conduct data analysis and synthesis to support project objectives using established methods and advanced analytical tools to generate actionable insights.
Assist in designing and executing research methodologies to address business challenges and provide recommendations.
Collaborate with consulting teams in problem-solving and the development of innovative solutions tailored to customer needs and strategic goals.
Contribute to the development of client presentations and reports by organizing data, visualizing findings, and ensuring accuracy, relevance and clarity in all communications.
Engage in customer interactions and meetings, with oversight, to understand customer needs, gather feedback, and ensure alignment with project objectives.
Support proposal development by contributing to specific elements of the proposal.
Collaborate with senior consultants on project execution, coordinating tasks, managing timelines, and ensuring the successful delivery of high-quality consulting services.

AWS Docker Python SQL Apache Airflow Apache Hadoop Cloud Computing Data Analysis Data Mining ETL Flask Image Processing Kafka Kubernetes Machine Learning Numpy PyTorch Algorithms Data engineering Data science Data Structures RDBMS Nosql Pandas Tensorflow CI/CD RESTful APIs Terraform JSON Data visualization Ansible Data modeling Data analytics Data management

Posted about 5 hours ago

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🔥 Data & AI Engineer (Frankfurt, Germany)

Posted about 19 hours ago

📍 Germany

🔍 AI and data analytics consulting

🏢 Company: Unit8 SA

🔧 Requirements

MSc level in the field of Computer Science, Machine Learning, Applied Statistics, Mathematics, or equivalent work experience.
Proficient software engineer who has experience in applying a blend of software engineering, machine learning, and statistical methods to solve real-world business problems
Proficient in one of the following languages: Python, Scala, Java.
Experience with cloud technologies is a strong plus.

💡 Responsibilities

Work with our customers to understand their challenges, design and implement solutions.
Closely collaborate with other data scientists, software engineers and business stakeholders.
Evaluate, compare and present results to technical and non-technical audience.
Contribute to the implementation and engineering of systems at different scales: from small proof-of-concepts to larger end-to-end data systems.
Implement best practices in CI/CD

AWS Docker Python SQL Cloud Computing Data Analysis ETL Java Kubernetes Machine Learning Algorithms Data engineering Data science Spark CI/CD RESTful APIs Scala Software Engineering

Posted about 19 hours ago

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🔥 Senior Machine Learning Engineer

Posted about 20 hours ago

📍 USA

🧭 Full-Time

🔍 Audit and advisory

🏢 Company: Fieldguide👥 101-250💰 $30,000,000 Series B 12 months agoArtificial Intelligence (AI)Document Management

🔧 Requirements

4-5 years of experience in applied machine learning or related field
Strong proficiency in Python and its ML/data science libraries
Extensive experience with NLP techniques and generative AI technologies
Experience with LLMs and both text-to-text and text-to-image generative models
Proficiency in working with large datasets and creating ETL processes
Experience with version control systems (e.g., Git) and CI/CD practices
Ability to work in a fast-paced, changing startup environment

💡 Responsibilities

Collaborate with stakeholders to identify and map business problems to ML solutions
Design, develop, and implement ML models with a focus on NLP and generative AI applications
Curate, clean, and prepare data for model development and training
Create and maintain ETL jobs for data processing
Conduct rapid prototyping of ML solutions to quickly iterate on ideas
Stay current with the latest advancements in ML, particularly in NLP and generative AI
Collaborate with the platform engineering team to integrate ML solutions into the overall product architecture
Implement data flywheels to continuously improve ML features through increased usage
Define and implement ML performance metrics
Contribute to the product roadmap with ML-driven feature ideas
Be an essential technical contributor at a Series B-stage company as it scales

AWS Python SQL ETL Git Machine Learning Numpy Data science Pandas Tensorflow CI/CD A/B testing

Posted about 20 hours ago

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🔥 Machine Learning Engineer (LLMs)

Posted about 20 hours ago

📍 Poland

🧭 Full-Time

💸 23500.0 - 35000.0 PLN per month

🔍 Education Technology

🏢 Company: Brainly👥 251-500💰 $80,000,000 Series D about 4 years ago🫂 Last layoff over 2 years agoEducation EdTech Communities E-Learning Apps Social Network Peer to Peer Software

🔧 Requirements

3+ years experience with deployment and maintenance of Machine Learning models in production
Experience in deploying and maintaining Deep Learning models, particularly Large Language Models (LLMs)
Strong command of writing production-level code in Python, with a focus on best engineering practices, in particular for training & deploying models.
PyData stack along with quick frontend frameworks e.g. streamlit.
Proven expertise in Cloud Computing (preferably AWS and services like IAM, EC2, S3, ECR, EKS, Redshift, Athena, Glue, Lambda, SecretManager) for storage, data pipelines, ML pipelines, and ML deployment.
Machine Learning frameworks such as: Tensorflow, PyTorch, JAX, scikit-learn, Transformers (HuggingFace).
Proven track record of development of data and machine learning pipelines.
Knowledge of Linux/Unix system, shell scripting.
Parallel computing (multi-processing, async, GPUs, types of AI parallelism).
Culture of DevOps and high-quality software standards.
Fluency in English.

💡 Responsibilities

Operationalization of Machine Learning Models
Orchestration of the entire ML model lifecycle, from development and deployment to monitoring, maintenance, and optimization ensuring scalability, efficiency, and reliability.
Implementation of automated workflows for model retraining, versioning, and performance tracking to ensure long-term stability.
Transformation of Machine Learning artifacts into production systems and services maintaining robust integration with existing engineering infrastructure.
Tooling, Infrastructure & Experimentation Support
Design and implementation of tools, frameworks, and infrastructure to enhance efficiency of Data Scientists and other stakeholders simplifying areas such as model training and evaluation, data annotation, and processing.
Working with large-scale datasets in structured and ad-hoc exploratory setups to support both creation of well-organized data pipelines and rapid experimentation and prototyping.
Supporting Technical Lead and Data Scientists in refactoring and optimizing research code, ensuring high-quality, reusability, and scalability of delivered solutions bridging the gap between AI experimentation and real-world deployment.
Continuous Learning
Staying up to date with cutting-edge advancements in AI technology, including state-of-the-art models, algorithms, tools, and frameworks (both models/algorithms and tools/libraries/SaaS/APIs, etc.).
Exploring opportunities to incorporate new methodologies, libraries, and services that enhance Brainly’s AI capabilities.

AWS Python SQL Bash Cloud Computing Kubernetes Machine Learning PyTorch Data science REST API Tensorflow CI/CD Linux DevOps Microservices

Posted about 20 hours ago

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🔥 Lead Machine Learning Scientist, Personalisation

Posted about 21 hours ago

📍 United Kingdom

🧭 Full-Time

💸 105000.0 - 140000.0 GBP per year

🔍 Financial Technology

🏢 Company: Monzo👥 1001-5000💰 Secondary Market 5 months ago🫂 Last layoff almost 5 years agoFinancial Services Banking Wealth Management FinTech

🔧 Requirements

Multiple year track record of excellence leading the development and deployment of advanced Machine Learning models to tackle real business problems preferably in a fast moving tech company
Experience developing and shipping state of the art ML architectures to production and delivering business impact
Extensive experience writing production Python code and a strong command of SQL. You are comfortable using them every day, and keen to learn Go lang which is used in many of our backend microservices

💡 Responsibilities

Working with stakeholders across the organization to identify and scope out the most impactful opportunities to tackle business problems in personalisation.
Leading the design and development of advanced real time Machine Learning models, for example exploring how recent advances in machine learning (neural network, graph-based, and sequence-based architectures, LLMs) can drive improvements in our ability to deliver personalised user experiences.
Providing technical leadership to drive up levels of technical expertise and best practice across the Machine Learning discipline, leading by example and mentoring others.
Working closely with our ML platform team to steer the ongoing development of tools to enable rapid iteration of models and optimisations of the full ML model lifecycle.

Leadership Python SQL Cloud Computing Data Analysis Machine Learning Algorithms API testing Data science RESTful APIs Microservices Data modeling

Posted about 21 hours ago

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🔥 Senior Product Manager, New Products

Posted about 22 hours ago

📍 United States

💸 175000.0 - 195000.0 USD per year

🔍 B2B healthcare

🏢 Company: SmarterDx👥 101-250💰 $50,000,000 Series B 10 months agoArtificial Intelligence (AI)Hospital Information Technology Health Care

🔧 Requirements

5+ years of product management experience in B2B healthcare, ideally in automation, AI-driven workflows, or revenue cycle management.
Proven ability to launch 0 to 1 products, scale and mature a product platform, balancing technical constraints with user needs.
Experience working cross-functionally with engineering, data science, and UX teams to drive product success.
Experience working directly with customers.
Experience working with healthcare data products and using data visualization to drive user decisions.

💡 Responsibilities

Own and scale the Denials product, defining its strategy, roadmap, and execution.
Roll up your sleeves and ruthlessly prioritize features based on user needs, market demand, and commercial impact.
Identify opportunities to improve automation, streamline workflows, and enhance usability for appeal writers.
Work closely with engineering, data science, and design to translate AI predictions into real-world user value.
Define, track, and report on key success metrics to measure product performance and adoption.
Communicate clearly with stakeholders, ensuring alignment across product, sales, and customer success teams.
Write and standardize product and technical documentation, modeling strong project management best practices.

SQL Agile Artificial Intelligence Business Analysis Data Analysis Machine Learning Product Management QA User Experience Design Cross-functional Team Leadership Product Development Data science REST API Strategic Management CI/CD Data visualization Stakeholder management

Posted about 22 hours ago

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🔥 Data Engineer

Posted 1 day ago

📍 United States

🧭 Full-Time

🔍 Sustainable Agriculture

🏢 Company: Agrovision

🔧 Requirements

Experience with RDBMS (e.g., Teradata, MS SQL Server, Oracle) in production environments is preferred
Hands-on experience in data engineering and databases/data warehouses
Familiarity with Big Data platforms (e.g., Hadoop, Spark, Hive, HBase, Map/Reduce)
Expert level understanding of Python (e.g., Pandas)
Proficient in shell scripting (e.g., Bash) and Python data application development (or similar)
Excellent collaboration and communication skills with teams
Strong analytical and problem-solving skills, essential for tackling complex challenges
Experience working with BI teams and tooling (e.g. PowerBI), supporting analytics work and interfacing with Data Scientists

💡 Responsibilities

Collaborate with data scientists to ensure high-quality, accessible data for analytical and predictive modeling
Design and implement data pipelines (ETL’s) tailored to meet business needs and digital/analytics solutions
Enhance data integrity, security, quality, and automation, addressing system gaps proactively
Support pipeline maintenance, troubleshoot issues, and optimize performance
Lead and contribute to defining detailed scalable data models for our global operations
Ensure data security standards are met and upheld by contributors, partners and regional teams through programmatic solutions and tooling

Python SQL Apache Hadoop Bash ETL Data engineering Data science RDBMS Pandas Spark Communication Skills Analytical Skills Collaboration Problem Solving Data modeling

Posted 1 day ago

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🔥 Senior Data Analyst, Revenue

Posted 1 day ago

📍 United States

🧭 Full-Time

🔍 Software Development

🏢 Company: Givebutter👥 101-250💰 $50,000,000 Series A 11 months agoNon Profit Event Management Software

🔧 Requirements

Advanced degree in Statistics, Computer Science, Mathematics or a related field, or relevant industry experience.
Expert querying and data manipulation skills using SQL, and strong data analysis skills using Python (or any other statistical programming language)
Experience in Marketing Analytics, Sales Analytics, or similar.

💡 Responsibilities

Manage the inflow of data requests from revenue stakeholders, ensuring adequate two-way communication on needs, expectations, and progress, and high quality, timely delivery.
Drive the strategic roadmap of Revenue Analytics as the business grows and data needs scale in both magnitude and complexity.
Be the subject matter expert in the customer funnel, driving and developing the company’s understanding of acquisition, conversion, engagement, and retention through behavioral analyses and insights.

Python SQL Data Analysis ETL Machine Learning API testing Data engineering Data science Communication Skills Analytical Skills Collaboration Problem Solving Data visualization Data modeling Data analytics Data management Customer Success

Posted 1 day ago

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