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3,631 jobs found.

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🔥 Applied Scientist, Adtech

Posted 17 minutes ago

📍 Finland, Sweden, Germany

🧭 Full-Time

💸 375000.0 USD per year

🔍 Adtech

🏢 Company: Wolt - English

🔧 Requirements

Passion for Applied Science: You identify as a problem solver who loves leveraging data science and machine learning to drive business results and create real-world impact.
Expertise in Production-Level ML Solutions: You know what it takes to build robust, scalable models suitable for large-scale deployments. You’re comfortable managing the entire lifecycle of data science projects, from ideation through to production and ongoing maintenance.
Strong Foundations in ML and Statistics: You bring a solid educational background and practical skills in machine learning and statistics, enabling you to design reliable and meaningful solutions. Working experience with optimization is a big plus.
Engineering Excellence: You’re skilled in writing production-level code and following engineering best practices, ensuring your solutions are efficient, maintainable, and scalable.
Clear Communication and Drive: You can effectively communicate complex technical concepts to non-technical audiences, bridging the gap between data science and business needs. You can take ownership of initiatives and drive projects to conclusion while working with varied stakeholders.
Analytical Problem-Solving: You excel at breaking down complex business challenges into clear, solvable machine learning problems, and designing data-driven solutions to address them.

💡 Responsibilities

Design and deploy machine learning and applied science solutions that tackle some of our most complex business challenges.
Enhance key processes across Wolt's platform and business operations, creating measurable impact in all 29 countries where we operate.
Take ownership of use cases within a product development team—from identifying high-value opportunities to developing, prototyping, and deploying solutions, and ensuring they continuously improve in production.

Python SQL Data Analysis Machine Learning MLFlow Algorithms Data science Analytical Skills Data visualization

Posted 17 minutes ago

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🔥 Senior Solutions Engineer, DACH

Posted about 1 hour ago

📍 DACH region

🔍 Cybersecurity

🔧 Requirements

Professional working proficiency in German & English (essential)
5+ years of Pre-sales/Sales Engineering or Consulting experience in cyber security or PKI
Working knowledge of common IT technologies found in enterprise environments (Windows, Linux, Mac, AD/AAD/LDAP, load balancers, web servers, etc.)
Hands-on skills to perform product demonstrations and proof-of-concept integrations
Excellent communication (written & verbal) and interpersonal skills
Strong diagnostic and problem-solving skills
Understanding of IT systems, cloud computing, and networking fundamentals.
Deep technical understanding of PKI, digital trust, and cybersecurity principles, applying best practices in security design and implementation
Experience or familiarity with ServiceNow, GitHub, and REST API integrations
Hands-on experience of scripting and automation using Bash, PowerShell, Python, or similar languages
Knowledge of cloud platforms (AWS, Azure, Google Cloud, Oracle Cloud) and container technologies like Kubernetes

💡 Responsibilities

Partner with the Account Executive team, taking responsibility for technical closure to drive revenue and customer success
Develop and maintain a deep technical understanding of DigiCert PKI/IoT/Signing solutions & architecture
Provide demonstrations of DigiCert solutions and services to key prospects/customers
Facilitate technical evaluations of customer engagements in a Proof of Value (POV) environment
Assist in response to functional and technical elements of RFPs/RFIs
Analyze customer needs and architect/develop potential solutions based on DigiCert PKI/IoT/Signing solutions and services to meet customer objectives
Be the voice of the customer. Capture feature request input from prospects/customers to provide feedback to the Product Management teams
Effectively manage projects through planning, tracking, and reporting
Work independently and in conjunction with other members of the sales team and cross-functional teams
Be a technical resource to present topics at field events such as conferences, seminars, as needed
Travel as necessary to customer sites and industry forums/conferences as needed to support the objectives of the department
Other duties as required

AWS Python Bash Cloud Computing Cybersecurity GCP Kubernetes LDAP Salesforce Azure REST API CI/CD Problem Solving Linux DevOps Terraform Networking Excellent communication skills Account Management Client relationship management Sales experience Scripting English communication

Posted about 1 hour ago

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🔥 Analytics Engineer II

Posted about 1 hour ago

📍 United States

🧭 Full-Time

💸 125000.0 - 145000.0 USD per year

🏢 Company: Spark Advisors👥 11-50💰 $25,000,000 Series B about 1 year agoFinancial Services Retirement Employee Benefits

🔧 Requirements

4+ years of experience in data or analytics engineering.
Advanced proficiency in SQL and experience with DBT/Dataform for building scalable pipelines
Some exposure to Python and data visualization tools (e.g. Metabase, Hex, Tableau, PowerBI)
Detail-oriented with the ability to analyze complex data and draw conclusions even when faced with messy/incomplete data
Proven ability to automate data workflows using modern tools
Comfortable giving and receiving feedback on standardized processes to ensure quality and consistency
Strong communication skills for working cross-functionally with various teams

💡 Responsibilities

Design, optimize, and maintain scalable ELT data pipelines using GCP tools, focusing on BigQuery and Dataform/dbt.
Automate and standardize data processes to improve efficiency, reduce manual effort, and ensure consistent data flow.
Partner with cross-functional teams to understand business needs and translate them into technical data solutions that support data-driven insights.
Mentor and upskill junior engineers, fostering a collaborative and growth-oriented environment.
Ensure data quality through rigorous testing, analysis, and continuous improvement of data processes.
Own and deliver medium-scale data projects, managing end-to-end execution and stakeholder communication.

Python SQL Data Analysis ETL GCP Data engineering Data visualization Data modeling

Posted about 1 hour ago

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🔥 Full Stack Engineer- AxoniusX

Posted about 1 hour ago

📍 United States

🧭 Full-Time

🔍 Software Development

🏢 Company: Axonius👥 600-600💰 $200,000,000 Series E about 1 year agoAsset Management Cloud Security Information Technology Cyber Security Network Security

🔧 Requirements

4 years of experience as a Full Stack Engineer
Extensive professional experience with Python
Extensive professional experience with advanced JavaScript, CSS, and at least one modern UI framework (React, Vue.JS, Angular)

💡 Responsibilities

Implement new and exciting features
Work with Product, other R&D teams and Architecture teams

Docker Python CSS MongoDB React.js Vue.Js Redis

Posted about 1 hour ago

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🔥 DevOps Engineer

Posted about 1 hour ago

🧭 Full-Time

🔍 Tech and digital sector

🏢 Company: Bhblasted

🔧 Requirements

Bachelor's degree in Computer Science, Engineering, or a related field.
Proven experience as a DevOps engineer, with a strong understanding of software development and IT operations.
Proficiency in Python scripting and experience with automation frameworks.
Hands-on experience with Selenium, Playwright, or UiPath for automating tasks and processes.
Familiarity with IaC tools like Ansible, Terraform, or CloudFormation.
Strong knowledge of CI/CD pipelines and tools like Jenkins, GitLab CI/CD, or GitHub Actions.
Experience with monitoring tools like Prometheus, Grafana, or ELK stack.
Excellent problem-solving skills and the ability to work independently and as part of a team.
Strong communication skills and the ability to collaborate effectively with cross-functional teams.

💡 Responsibilities

Develop and maintain continuous integration/continuous deployment (CI/CD) pipelines to ensure quick and efficient software delivery.
Script automated processes using Python to streamline workflows and tasks across various environments.
Utilize automation tools like Selenium, Playwright, and UiPath to design, build, and maintain automated testing and deployment solutions.
Implement infrastructure as code (IaC) using tools such as Ansible, Terraform, or CloudFormation to manage and provision infrastructure resources.
Collaborate with development and operations teams to raise the quality and efficiency of infrastructure, ensuring reliable system operations.
Monitor system performance, troubleshoot issues, and implement tuning improvements to ensure an optimal production environment.
Develop custom monitoring and alerting solutions to ensure system reliability and availability.
Work closely with security teams to integrate security best practices and tools in CI/CD processes.

Python Jenkins Grafana Prometheus Selenium CI/CD DevOps Terraform Ansible Scripting

Posted about 1 hour ago

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🔥 Data Scientist

Posted about 1 hour ago

🧭 Full-Time

🔍 Software Development

🏢 Company: Bhblasted

🔧 Requirements

Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Data Science, Engineering, or a related field.
Understanding of data engineering practices and data architecture.
Familiarity with version control systems (e.g., Git).
Programming Languages: Python, R, Java, or Scala for data analysis and modeling; SQL for data querying.
Experience with data manipulation and analysis libraries (e.g., pandas, NumPy, dplyr, or similar libraries).
Familiarity with specific tools (Tableau, Power BI, or Looker) and Big Data Tools (Hadoop, Spark, Hive, or Kafka for large-scale data processing).
Competence in Cloud architectures (AWS, Google Cloud Platform GCP, Azure for deploying models and managing infrastructure).
Proficiency in English (both written and spoken).

💡 Responsibilities

Collect, clean, and preprocess large datasets from multiple sources (databases, APIs, web scraping, sensors, etc.).
Identify and correct data inconsistencies, handle missing values, and ensure data quality.
Prepare data for analysis by normalizing, scaling, encoding, or aggregating it as needed.
Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
Develop predictive and descriptive models using supervised, unsupervised, and reinforcement learning techniques.
Tune model parameters to maximize accuracy and efficiency.
Identify and create meaningful features to improve model performance.
Translate data findings into actionable business recommendations.
Create detailed reports and presentations to communicate results to stakeholders.
Build interactive dashboards or visualizations for real-time data interpretation.
Implement ML models into production systems.
Create scalable data pipelines and automate processes for continuous data analysis.
Work with developers to integrate insights and models into business applications.
Ensure compliance with data privacy laws and ethical guidelines (e.g., GDPR, CCPA).
Maintain detailed documentation of methodologies, datasets, and workflows.
Protect sensitive data and ensure secure handling.
Work closely with business analysts, engineers, domain experts, and leadership teams.
Understand business needs and translate them into analytical tasks.
Simplify technical results for non-technical stakeholders.

AWS Docker Python SQL Cloud Computing Data Analysis Data Mining ETL GCP Git Hadoop Java Kafka Machine Learning Numpy Jira Tableau Algorithms Data engineering Data science Pandas Spark Communication Skills Analytical Skills RESTful APIs Scala Data visualization Data modeling

Posted about 1 hour ago

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🔥 Data Lead

Posted about 1 hour ago

🧭 Full-Time

🔍 Tech and digital

🏢 Company: Bhblasted

🔧 Requirements

Degree in Computer Science, Statistics, Engineering, or a related field.
At least 5-7 years of experience in data management and analysis, with at least 2-3 years in a leadership role.
In-depth knowledge of programming languages for data analysis (e.g., Python, R, SQL).
Familiarity with BI tools (e.g., Tableau, Power BI) and big data technologies (e.g., Hadoop, Spark).
Experience in creating predictive models and applying machine learning techniques.
Leadership skills, team management capabilities, and experience handling complex projects.
Excellent communication and collaboration skills.
Strong results orientation and problem-solving abilities.

💡 Responsibilities

Define and implement the company's strategy for data management and analysis.
Coordinate and supervise a team of data analysts and specialists to ensure the quality and integrity of company data.
Collaborate with key business stakeholders to understand business needs and translate them into data projects and solutions.
Monitor the performance of data management processes and identify opportunities for improvement.
Develop and maintain a reporting system and dashboards to enable data visualization and interpretation.
Ensure compliance with data protection regulations and company policies.
Research and implement new technologies and tools for data management.
Provide support in the creation and implementation of machine learning models or artificial intelligence projects for business applications.
Promote a data-driven culture within the organization.

Leadership Python SQL Apache Airflow Artificial Intelligence Data Analysis ETL Hadoop Machine Learning Tableau Spark Reporting Data visualization Team management Data modeling Data management

Posted about 1 hour ago

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🔥 Senior Security Engineer, Detection & Response (Eastern Preferred)

Posted about 1 hour ago

📍 Canada

🧭 Full-Time

🔍 Software Development

🏢 Company: Docker👥 251-500💰 $105,000,000 Series C about 3 years agoDeveloper Tools Developer Platform Information Technology Software

🔧 Requirements

Background in Information Security, Computer Science, Computer Engineering, Forensics, or equivalent work experience.
4-5 years of hands-on experience in detection and response, including triage and incident response in enterprise SaaS environments.
Proven experience in building log ingestion and normalization pipelines across diverse systems.
Expertise in Detection as Code, particularly using Python and SQL.
Subject matter expert in endpoint security and/or cloud security.
Strong working knowledge of Mac, Linux, and Windows operating systems.
Hands-on experience with major cloud infrastructures, including AWS, Azure, and GCP.
Experience with Kubernetes is a nice-to-have.
Demonstrated experience working across multiple teams in collaborative security roles.

💡 Responsibilities

Monitor, detect, and respond to cybersecurity threats, lead incident investigations, conduct root cause analysis, and automate threat detection and hunting.
Develop detection and response playbooks and participate in on-call rotations.
Design, implement, and maintain log ingestion, parsing, and normalization pipelines across endpoint, network, cloud, and application logs.
Ensure log consistency across EDR, SIEM, SOAR, and threat detection tools.
Use Terraform, Kubernetes, and scripting to automate log infrastructure in cloud environments and improve security monitoring efficiency.
Ensure log storage and retention meet regulatory and security requirements, support audit to maintain compliance
Work with Product Security, Infrastructure, DevOps, and IT on various initiatives to mature the Detection Engineering program and strengthen Docker’s overall security posture.
Partner with stakeholders to improve threat intelligence, detection, and incident response capabilities.

AWS Python SQL Cloud Computing Cybersecurity GCP Kubernetes Mac OS X Azure Linux DevOps Terraform Compliance Scripting

Posted about 1 hour ago

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🔥 Consulting Build Engineer

Posted about 3 hours ago

📍 United States

🧭 Full-Time

🔍 Software Development

🏢 Company: Trace Machina👥 11-50💰 $4,700,000 Seed 7 months agoIT Infrastructure Robotics Software

🔧 Requirements

3+ years of experience in build engineering, CI/CD pipelines, or software development
Strong understanding of build systems, continuous integration, and build automation tools (e.g., Jenkins, GitLab, CircleCI, etc.)
Experience with build caching, remote execution, and distributed systems
Proficiency with programming/scripting languages such as Python, Go, or shell scripting
Experience in troubleshooting complex technical issues in large-scale environments
Strong knowledge of cloud services and infrastructure (e.g., AWS, GCP, Azure)
Excellent communication skills and the ability to explain complex technical concepts to non-technical stakeholders
Strong problem-solving skills and a customer-oriented mindset
Ability to work independently and as part of a team in a fast-paced, client-focused environment
Familiarity with version control systems (Git) and infrastructure-as-code tools (e.g., Terraform, Ansible)

💡 Responsibilities

Act as the primary technical consultant for clients, working directly with them to understand their build infrastructure and processes
Assess customer build systems and provide expert recommendations on how to optimize them using NativeLink’s build caching and remote execution solutions
Configure and integrate NativeLink into customer environments, including both on-premise and cloud-based setups
Troubleshoot and resolve issues related to build performance, caching, and execution across various environments
Work with clients to define success criteria, track project milestones, and deliver measurable results
Collaborate with product development and engineering teams to provide customer feedback and help improve NativeLink
Conduct training and workshops for clients to help them understand and utilize NativeLink to its full potential
Provide ongoing support to clients, including troubleshooting, performance tuning, and optimization recommendations
Document best practices, case studies, and solutions for future reference and sharing with the broader team
Stay current with industry trends and emerging technologies related to build systems, CI/CD, and remote execution

AWS Docker Python Cloud Computing Git Jenkins Kubernetes REST API Communication Skills CI/CD Problem Solving Customer service Linux DevOps Terraform Troubleshooting Scripting

Posted about 3 hours ago

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🔥 Reinsurance Assistant Actuary

Posted about 3 hours ago

📍 United States of America

💸 111000.0 - 190000.0 USD per year

🏢 Company: careers

🔧 Requirements

Demonstrated experience providing customer-driven solutions, support or service.
Demonstrated experience analyzing assumed reinsurance treaties.
Demonstrated experience pricing assumed casualty reinsurance treaty submissions.
Solid knowledge and understanding of complex insurance and reinsurance structures.
Solid knowledge and understanding of property and casualty products, pricing, rates and industry trends.
Solid knowledge and understanding of the global reinsurance industry, its market, regulatory constraints, judicial climate, and consumer activism.
Demonstrated experience with Excel, SQL, Python, and basic programming.
Solid knowledge of catastrophe models such as RMS and AIR, among others.
Extensive knowledge and understanding of advanced financial and statistical analysis techniques including actuarial techniques.
Solid knowledge and understanding of data models and database design and development concepts.
Associate or Fellow in Casualty Actuary Society (ACAS or FCAS).

💡 Responsibilities

Develops relationship with core business partners and provide insights and solutions to address specific business concerns.
Explore new concepts, statistical models, and data sources to deliver innovative solutions for the business.
May contributes to all aspects of pricing and may own the recurring process.
May facilitate the pricing strategy.
Help develop pricing for new products and rating structures.
Monitor industry and competitor trends to determine potential impact to actuarial strategies and solutions.
Analyze the profitability of assumed casualty treaty reinsurance opportunities.
Maintain a portfolio analytics framework, ensuring consistent analytical standards for evaluating assumed reinsurance opportunities.
Create a collaborative, performance-driven work environment by facilitating and fostering trust, transparency, and inclusion.
Mentor and develop team members.
Collaborate with Underwriting to provide input on potential deals.

Project Management Python SQL Communication Skills Analytical Skills Collaboration Mentoring Teamwork Risk Management Financial analysis Data modeling Data analytics

Posted about 3 hours ago

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