526 to 550 of 624 Data Scientist Jobs

1. (Mandatory) Demonstrated experience in data architecture. 2. (Mandatory) Demonstrated experience with and understanding of database structure principles 3. (Mandatory) Demonstrated experience in data modeling and design, including SQL development and database administration. 4. (Mandatory) Demonstrated experience in data visualization, data migration and data modeling. 5. (Mandatory) Demonstrated experience in relational database management systems (DBMS … . 6. (Mandatory) Demonstrated experience in DBMS software, including SQL Server. 7. (Mandatory) Demonstrated experience in database and cloud computing design, architectures and data lakes. 8. (Mandatory) Demonstrated experience in configuration and administration of enterprise level data stores, ETL and ELT methods, and batch and streaming data transport. 9. (Mandatory) Demonstrated experience gathering and analyzing system requirements. More ❯

building, want to work with pace at a mission-oriented startup, and will collaborate with us in shaping the culture of a rapidly growing team. The role As a Data Scientist at Modo Energy, you will join an established team that loves to use their knowledge and expertise to build novel, industry-leading models and analyses. We follow … our core principles to produce tools used by organizations across the energy transition to finance, build, benchmark, and operate battery energy storage systems. This role sits within our data science team, building trustworthy revenue projections across multiple geographies. For more info, here's our hiring video: Open here! Responsibilities: Sourcing, processing, analyzing, and interpreting large & complex datasets within our … R, C++, Java) and with the scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). Strong quantitative skills and a proven track record of solving complex technical problems using data analysis, machine learning, and optimization techniques. Hands-on experience with cloud environments (e.g., AWS) for deploying data science models. Proven experience with optimisation using linear programming with a More ❯

healthcare for millions of patients worldwide. Combining more than 20 years of proprietary wearable technology with clinically relevant signals, all.health connects patients and physicians like never before with continuous, data-driven dialogue. This unique position of daily directed guidance stands to redefine primary care while helping people live happier, healthier, and longer. Job Summary We're seeking a Bayesian … Data Scientist with deep expertise in probabilistic modeling and a strong grasp of modern AI advancements, including foundation models , generative AI , and variational inference . This role is perfect for someone who thrives on solving complex modeling challenges, optimizing predictions under uncertainty, and developing interpretable, high-impact models in real-world systems. You will apply state-of-the … of feature engineering, dimensionality reduction, model construction, validation, and calibration. Experience with uncertainty quantification and performance estimation (e.g., cross-validation, bootstrapping, Bayesian credible intervals). Familiarity with database and data processing tools (e.g., SQL, MongoDB, Spark, Pandas). Ability to translate ambiguous business problems into structured, measurable, and data-driven approaches. Preferred Qualifications M.Sc or PhD in Statistics More ❯

Senior Delivery Consultant - Data Scientist AI/ML, AWS Professional Services Job ID: AWS EMEA SARL (Spain Branch) The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions … in ML solutions design, architecture and development and deployment of large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing. - Working knowledge of generative AI and hands-on experience in prompt engineering, deploying and hosting Large Foundational Models - Strong communication skills in English and Spanish with the ability … success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. More ❯

For more information, contact Mieke Van Tonder at . This is an exciting opportunity for someone passionate about technology, data, and machine learning, eager to contribute to a collaborative environment. The Data Scientist will build and deploy machine learning models to support personalization, recommendations, anomaly detection, and data insights. The role involves working with modern ML … such as monitoring, continuous integration, and automated retraining. Utilize AI-assisted development tools like Cursor and Copilot to improve productivity. Collaborate with engineers, DevOps, and leadership to ensure robust data pipelines and translate business needs into technical solutions. Requirements At least 3 years of experience in applied machine learning and deploying production models. Proficiency in Python, SQL, and frameworks … scikit-learn. Experience with AWS services and Databricks; understanding of ML Ops is highly beneficial. Ability to adapt quickly to new tools and deliver scalable solutions independently. Familiarity with data pipelines involving Kafka, Debezium, S3, Lambda, and Delta Lake is a plus. Note: Some irrelevant content and personal opinions were removed for clarity and focus. This job posting is More ❯

scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. As a Data Scientist, you'll be part of our rapidly growing team. You'll have the chance to apply data science methods and analytics to real-world business situations … on behalf of BCG X. Successful candidates are intellectually curious builders who are biased toward action, scrappy, and communicative. We are looking for talented individuals with a passion for data science, statistics, operations research and transforming organizations into AI led innovative companies. Successful candidates possess the following: Comfortable in a client-facing role with the ambition to lead teams … Likes to distill complex results or processes into simple, clear visualizations Explain sophisticated data science concepts in an understandable manner Love building things and are comfortable working with modern development tools and writing code collaboratively (bonus points if you have a software development or DevOps experience) Significant experience applying advanced analytics to a variety of business situations and a More ❯

create cutting-edge technologies that will improve how we diagnose and treat brain disorders, ultimately improving and saving the lives of patients across the world. The Role: As a Data Scientist at CoMind, you will join a multidisciplinary team working at the intersection of neurophysiology, optics, machine learning, and signal processing. Your focus will be on analysing multidimensional … that extract meaningful metrics of brain function and autoregulation, improve signal quality through advanced denoising and demixing techniques, and validate signal fidelity in real-world use. Responsibilities: Conduct exploratory data analysis on complex time-series datasets generated from clinical trials, internal studies, and external research databases Develop, prototype, and apply signal processing and machine learning models to interpret physiological … signals such as cerebral blood flow, cerebral autoregulation Design and validate algorithms for denoising, signal demixing, classification, and interpretation of neuromonitoring data Collaborate with domain experts to translate clinical and physiological requirements into robust data analysis workflows Write high-quality, well-tested Python code that meets industry standards for medical-grade software and supports FDA regulatory pathways Produce More ❯

over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms. About this team and role: As a Staff Data Scientist supporting Global Operations, you will be a strategic partner in improving Mozilla's operational efficiency, effectiveness, and scale. You are a hands-on builder who brings a … across the organization. Drive root cause analysis and opportunity sizing to surface the highest-value areas for investment or process improvement. What you'll bring: BS or MS in Data Science, Statistics, Computer Science, or a related field 5+ years of experience in data science or analytics, with demonstrated work on operations-focused projects. Hands-on experience with … Safety (T&S), or Ad Ops; ability to understand metrics like handle time, task pacing, or SLA completion without needing deep onboarding. Strong proficiency in SQL, and experience building data pipelines and dashboards using tools like Looker. Proficiency in Python or R for modeling, prototyping, and automation. Experience with metric standardization, KPI frameworks, and experimentation in operational settings. Ability More ❯

Our Experian Software Solution's Analytics Services Team supports analytic and generative AI products for decisioning, analytics, and fraud and identity globally. As a Lead Data Scientist, you will use your coding expertise (Python, SAS), model risk management and Gen AI knowledge and experience, and analytic consulting skills to lead client and internal engagements for Experian's new … global product launch and early client success efforts. Responsibilities: Collaborate with Engineering and Data Science teams in the design and implementation of Machine Learning, Dashboarding, Ad Hoc Analysis and AI applications in a cloud-native big data platform. Partner with Leaders, Analytic Consultants, Engineers, Account Executives, Product Managers, and external partners to bring new innovative solutions to market … regulatory requirements. Stay informed about regulatory changes, technological advancements, and model risk management processes and controls to ensure the technology stack meets all compliance requirements. Research and integrate new data assets from different sources into Experian's ML and AI platform. Develop and assess analytic tools developed internally and externally. Gather feedback from internal and external clients to guide More ❯

create cutting-edge technologies that will improve how we diagnose and treat brain disorders, ultimately improving and saving the lives of patients across the world. The Role: As a Data Scientist at CoMind, you will join a multidisciplinary team working at the intersection of neurophysiology, optics, machine learning, and signal processing. Your focus will be on analysing multidimensional … signals to derive actionable insights that inform product development and clinical decision-making. You will also work closely with the Translational Optics team on designing and running in-vivo data acquisition experiments. Please note that this role requires 4 days per week in the office. Responsibilities: Conduct exploratory data analysis on complex time-series datasets generated from clinical … systems and methods Design and validate algorithms for denoising, signal demixing, classification, and interpretation of neuromonitoring data. Collaborate with domain experts to translate clinical and physiological requirements into robust data analysis workflows. Write high-quality, well-tested Python code that meets industry standards for medical-grade software and supports FDA regulatory pathways. Produce clear and insightful white papers, documentation More ❯

Job Description: We are seeking a highly skilled and analytical Data Scientist to join our Banking Partner team. In this role, you will leverage data-driven insights to support strategic decision-making, enhance customer experience, and drive innovation in banking products and services. Develop, deploy, and maintain machine learning models and statistical algorithms for banking applications such … as credit risk, fraud detection, customer segmentation, churn prediction, and personalization. Work with large structured and unstructured datasets; clean, transform, and analyze data using SQL, Python, R, or similar tools. More ❯

Job Description: We are seeking a highly skilled and analytical Data Scientist to join our Banking Partner team. In this role, you will leverage data-driven insights to support strategic decision-making, enhance customer experience, and drive innovation in banking products and services. Develop, deploy, and maintain machine learning models and statistical algorithms for banking applications such … as credit risk, fraud detection, customer segmentation, churn prediction, and personalization. Work with large structured and unstructured datasets; clean, transform, and analyze data using SQL, Python, R, or similar tools. More ❯

That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make … decisions and grow responsibly. We're looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g. understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity … how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background. What you'll do We're looking for More ❯

Senior Data Scientist - Credit Risk Modelling £60-85,000 (dependent on experience)London THE COMPANY This successful and ambitious lending business are going from strength to strength. They are a dynamic and fast-paced lender and are seeking a driven and experienced individual to join their team in building out their predictive models using cutting-edge Machine Learning More ❯

Get started with your online application Not quite your dream role? Sign up to get notified when the right vacancy comes along. The Data & Science Org At Deliveroo we have an outstanding data science organisation, with a mission to enable the highest quality human and machine decision-making. We work throughout the company - in product, business and platform … teams - using analysis, experimentation, causal inference and machine learning techniques. We are uniquely placed to use data to help make better decisions and improve data literacy across Deliveroo. Data Scientists at Deliveroo report into our data science management team, and we have a highly active data science community, with guest lecturers, study groups, mentorship programmes … a robust technical review process, and plenty of opportunities to learn new things. Data Scientists can equally progress as technical leads (individual contributors) and as people managers. Our data scientists come from all kinds of backgrounds but have excellence in common. Many are formally trained in data science, many are not. We celebrate difference and have a More ❯

policy enables all full-time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is recruiting a passionate and detail-driven Data Scientist to join our team, focusing on time series modelling and control systems. You'll be developing predictive algorithms, identifying dynamic patterns and anomalies, and building models that … help automate decision-making in real-time systems involving quantum sensors. This is a high-impact role bridging data science, physics and engineering disciplines. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Design and implement … teams to integrate predictive models into live quantum sensors. Evaluate performance of deployed models and develop tools/pipelines to continuously refine them. Analyse large-scale sensor and telemetry data from quantum sensor systems Effectively manage technical priorities, meet deadlines, and deliver on project objectives. Masters degree in a STEM field (maths, science, engineering etc.) or equivalent Strong programming More ❯

Build the future of Conversational AI with ConnexAI As a Data Scientist on the Automatic Speech Recognition (ASR) team, you will be at the heart of building the voice models that power real-time AI systems used by millions globally daily. You’ll design, train, and refine cutting-edge ASR models that turn speech into actionable insights, helping … preferably) or NeMo toolkits. Experiment with new modelling approaches, neural architectures, and training techniques to improve ASR accuracy and latency. Work with large-scale speech datasets, preparing and preprocessing data for training, validation, and testing. Collaborate closely with speech data engineers to ensure high-quality datasets and annotations are used effectively in model training. Support deployment pipelines and … Analytics, ASR, AI Voice, and AI Quality. We value growth, both for our products and our people. As we scale, there will be clear opportunities to progress into senior data science, leadership, or principal roles. Our high retention rate reflects our inclusive, supportive, and empowering environment. More ❯

Build the future of Conversational AI with ConnexAI As a Data Scientist on the Automatic Speech Recognition (ASR) team, you will be at the heart of building the voice models that power real-time AI systems used by millions globally daily. You’ll design, train, and refine cutting-edge ASR models that turn speech into actionable insights, helping … preferably) or NeMo toolkits. Experiment with new modelling approaches, neural architectures, and training techniques to improve ASR accuracy and latency. Work with large-scale speech datasets, preparing and preprocessing data for training, validation, and testing. Collaborate closely with speech data engineers to ensure high-quality datasets and annotations are used effectively in model training. Support deployment pipelines and … Analytics, ASR, AI Voice, and AI Quality. We value growth, both for our products and our people. As we scale, there will be clear opportunities to progress into senior data science, leadership, or principal roles. Our high retention rate reflects our inclusive, supportive, and empowering environment. More ❯

Build the future of Conversational AI with ConnexAI As a Data Scientist on the Automatic Speech Recognition (ASR) team, you will be at the heart of building the voice models that power real-time AI systems used by millions globally daily. You’ll design, train, and refine cutting-edge ASR models that turn speech into actionable insights, helping … preferably) or NeMo toolkits. Experiment with new modelling approaches, neural architectures, and training techniques to improve ASR accuracy and latency. Work with large-scale speech datasets, preparing and preprocessing data for training, validation, and testing. Collaborate closely with speech data engineers to ensure high-quality datasets and annotations are used effectively in model training. Support deployment pipelines and … Analytics, ASR, AI Voice, and AI Quality. We value growth, both for our products and our people. As we scale, there will be clear opportunities to progress into senior data science, leadership, or principal roles. Our high retention rate reflects our inclusive, supportive, and empowering environment. More ❯

Job Description: Technical Analyst Data Science We are seeking a highly analytical and technically skilled Technical Analyst Data Science to support business needs through data analysis, solution development, and collaboration with cross-functional teams. This role blends technical expertise with business acumen to deliver impactful insights and scalable data solutions. Key Responsibilities: Analyze business processes and … translate requirements into technical specifications Design and develop scripts, APIs, and automation tools for advanced analytics Build and maintain data pipelines to support data science initiatives Collaborate with stakeholders and data scientists to define problems and implement solutions Develop reports and visualizations to communicate insights and metrics Ensure data quality and reliability across analytics workflows Support … UAT Document technical approaches and contribute to team knowledge sharing Apply geospatial analysis techniques to support location-based decision-making Required Qualifications: Bachelors or Masters degree in Computer Science, Data Science, or related field 3 5 years of experience in a hybrid technical/business analyst role Strong analytical and problem-solving skills Excellent communication and stakeholder engagement abilities More ❯

Together with the Department of Geosciences at the University of Tübingen we invite applications for the following positions in the coordination office: TERRA05: Data Manager/Scientist (m/f/d; TV-L E 13, 100 %) starting 01/26 until 31.12.2032 The data manager/scientist organizes the research-data management of the … Cluster of Excellence. We envision the development of a next-generation data management strategy with seamless reproducibility from field data acquisition to model-based analysis and scientific publication. This includes the following responsibilities: Developing, implementing and maintenaning the data-management structure of TERRA. This includes creating and organizing metadata schemes and workflows in data collection and … processing. Scientific data curation (e.g., data integrity, protection, pipelines). Interfacing with national and international research-data-management initiatives, Collaborating with and training of scientists within TERRA projects in the field of researchdata management. Candidates should have completed an MSc in natural or computer sciences, should have experience in data management and programming, have a pro More ❯

Genesis10 is seeking a Data Scientist: III (Senior) for a hybrid 3-month contract to hire position with a leading client in Columbus, OH. Compensation: $65 per hour W2. Job Description: As we advance our data science and analytics capab More ❯

Who We're Looking For (Position Overview): Spry Methods is seeking a mission-driven Senior Data Scientist with deep expertise in Artificial Intelligence (AI) to support high-impact national security and intelligence efforts. This role is ideal for candidates who combine technical excellence in AI/ML, strategic thinking, and a commitment to public service. You'll be … AI, temporal modeling, and hybrid systems. Partner with investigators and mission analysts to understand operational challenges and translate them into technical AI solutions. Leverage large-scale datasets (including unstructured data, dark web intel, and network traffic) to forecast, detect, and mitigate security threats. Contribute to strategic technology roadmaps, federal AI policy discussions, and ethical deployment of AI in government … Computer Science, Artificial Intelligence, Machine Learning, or a related field (focus on symbolic AI, logic programming, or adversarial ML strongly preferred). 5+ years of experience applying AI or data science in mission-critical environments, ideally in national security, defense, or intelligence sectors. Demonstrated ability to apply machine learning and AI to cybersecurity, threat modeling, or decision-making under More ❯

Scientist – Loss Modelling (Physical Risk from Weather and Climate) London – Hybrid Up to £80,000 About the Role Our client is building global-scale models to assess the physical risks of climate change and is looking for a Scientist with expertise in applied statistics and physical loss modelling. This role is ideal for someone experienced in natural catastrophe … Key Responsibilities Develop loss models to quantify climate-related risks, with a focus on estimating asset vulnerabilities. Calibrate and validate models using a wide range of qualitative and quantitative data sources. Contribute to building a robust and adaptable loss modelling framework. Document methodologies and communicate scientific insights to stakeholders, clients, and at industry events and conferences. What We’re … Looking For Experience building and calibrating statistical/mathematical loss models, ideally across multiple perils. Proficiency with geospatial data (climate and Earth observation) and economic damage datasets. Strong programming skills in Python, R, or a similar language. Excellent communication skills, able to explain complex concepts to non-technical audiences. A self-starter who thrives in a fast-paced R More ❯

Scientist – Loss Modelling (Physical Risk from Weather and Climate) London – Hybrid Up to £80,000 About the Role Our client is building global-scale models to assess the physical risks of climate change and is looking for a Scientist with expertise in applied statistics and physical loss modelling. This role is ideal for someone experienced in natural catastrophe … Key Responsibilities Develop loss models to quantify climate-related risks, with a focus on estimating asset vulnerabilities. Calibrate and validate models using a wide range of qualitative and quantitative data sources. Contribute to building a robust and adaptable loss modelling framework. Document methodologies and communicate scientific insights to stakeholders, clients, and at industry events and conferences. What We’re … Looking For Experience building and calibrating statistical/mathematical loss models, ideally across multiple perils. Proficiency with geospatial data (climate and Earth observation) and economic damage datasets. Strong programming skills in Python, R, or a similar language. Excellent communication skills, able to explain complex concepts to non-technical audiences. A self-starter who thrives in a fast-paced R More ❯