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🔥 Applied Scientist, Adtech

Posted 18 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 18 minutes 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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🔥 (989) Techno Functional | Microsoft Dynamics 365

Posted about 3 hours ago

📍 LATAM

🔍 Software Development

🏢 Company: Nearsure👥 501-1000 Staffing Agency Outsourcing Software

🔧 Requirements

3+ Years of experience working in Microsoft Dynamics 365 Project Service
3+ Years of experience working with resource scheduling and work order management
Strong knowledge of Power Platform
Proven experience as a Business Analyst, focusing strongly on Project Services systems, particularly Microsoft Dynamics Project Services
Experience integrating D365 with other enterprise applications
Familiarity with system performance monitoring and optimizations
Experience in Power platform applications development
Advanced English Level is required for this role as you will work with US clients.

💡 Responsibilities

Analyze business requirements and translate them into technical specifications.
Work with stakeholders, end-users, and technical teams to ensure the effective implementation of solutions.
Configure and customize the Microsoft Dynamics 365 Project Service application.
Set up and optimize projects, resources, and scheduling.
Optimize resources by matching skills, locations, and availability.
Ensure system performance, stability, and availability.
Monitor system integrations and perform regular health checks.
Stay updated on D365 features, industry trends, and best practices.
Collaborate with stakeholders to identify opportunities for innovation and optimization.

Project Management SQL Business Analysis Algorithms Data Structures REST API Resource Planning CI/CD Agile methodologies JSON Data modeling Software Engineering English communication

Posted about 3 hours ago

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🔥 Staff Software Developer, Backend

Posted about 5 hours ago

📍 Canada

🧭 Full-Time

🔍 Interior décor

🏢 Company: Leap Tools👥 101-250 Internet Augmented Reality Information Technology Data Visualization

🔧 Requirements

8+ years of software development experience building and operating scalable, reliable systems in production environments.
Strong experience with complex ETL flows and high-throughput systems is highly preferred.
Deep understanding of computer science fundamentals (algorithms, data structures, networking, databases).
Proven experience designing and scaling distributed systems focusing on performance, observability, and fault tolerance.
Strong architectural instincts and the ability to make high-leverage technical decisions that impact multiple teams and systems.
Demonstrated ability to influence and mentor senior engineers, guide teams through ambiguity, and elevate engineering practices across the board.
Exceptional ownership mindset — you drive initiatives forward, raise the bar, and deliver lasting impact.
Excellent communication and cross-functional collaboration skills.
Comfortable operating in a fast-paced, high-autonomy, product-driven environment.
Experience with e-commerce and catalog management is preferred.
Familiarity with our stack (Python, Django, Kubernetes, PostgreSQL, AWS) is strongly preferred, but deep expertise in analogous systems and a willingness to learn are welcome.

💡 Responsibilities

Drive the design, architecture, and delivery of complex backend systems that enable 3D and computer vision experiences at scale.
Lead the development of mission-critical APIs, data pipelines, and services that support high-traffic applications used globally.
Partner with product and engineering leadership to define technical direction, identify foundational investments, and plan for scale and performance.
Serve as a force multiplier by mentoring senior engineers, conducting architecture reviews, and enabling high-quality, high-velocity development across teams.
Champion engineering excellence and set the technical bar for backend systems in terms of scalability, resiliency, observability, and maintainability.
Lead cross-functional initiatives that span multiple teams and stakeholders across the business.
Help shape the long-term technical vision and culture of the engineering organization.
Influence hiring, onboarding, and growth strategies to ensure a strong and healthy team over time.

AWS Backend Development PostgreSQL Python Software Development SQL Django ETL Kubernetes Software Architecture Algorithms API testing Data Structures CI/CD RESTful APIs Microservices

Posted about 5 hours ago

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🔥 Software engineer

Posted about 5 hours ago

📍 Milan (Italy), London (UK)

🧭 Full-Time

💸 63965.0 - 143330.0 EUR per year

🔧 Requirements

Reasoning ability.
Drive.
Team spirit.

💡 Responsibilities

Master your toolkit.
Build stuff that matters.
Simplify relentlessly.

Backend Development Docker Python Software Development SQL Frontend Development Git Kubernetes Algorithms Data Structures gRPC REST API Rust CI/CD Problem Solving Microservices Teamwork Software Engineering Data analytics

Posted about 5 hours ago

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🔥 Software Engineer

Posted about 5 hours ago

📍 India

🧭 Full-Time

🔍 Software Development

🔧 Requirements

Bachelor's degree in Computer Science, or related majors
2+ yrs backend experience
Solid computer foundation and programming skills, familiar with common data structures and algorithms
2+ years experience in one of the following languages: Go/Python
Familiar with one of open source components:Mysql/Redis/Message Queue/Nosql
Experience in architecture and developing large-scale distributed systems.(for infrastructure team)
Familiarity with one or more of the following: Spark, Hadoop, Hive, or Elasticsearch.(for data feeds team)
Excellent logic analysis capabilities, able to abstract and split business logic reasonably
Familiarity with email protocols(IMAP/SMTP) is a plus

💡 Responsibilities

Build expertise in different email providers, such as gmail, outlook, yahoo, exchange etc. (Infrastructure)
Work on email strategy adjustment, performance improvement, email storage, how to do high availability and scalability (Infrastructure)
Be responsible for the email system’s data storage and related improvements (Infrastructure)
Understand business requirements and participate in discussions with the different stakeholders to design technical solutions (Infrastructure)
Be creative and study new technologies in the space, make sure high availability and scalability for email systems (Infrastructure)
Maintain existing service, working on iterative upgrades, deploy improvement, and service governance (Infrastructure)
Develop, optimize, and maintain scalable data pipelines for structured and unstructured data processing (Data Feeds)
Maintain and enhance the stability, reliability, and high availability of existing data systems and services (Data Feeds)
Collaborate with the team to build and refine an expandable, high-performance data architecture (Data Feeds)
Partner with various teams to deliver high-quality, dependable data services to internal users (Data Feeds)
Understand product and business requirements to design and implement data functionalities, including intuitive data visualizations (Data Feeds)
Oversee the integration and maintenance of collaborative data with third-party clients, addressing their data mining and analytical requirements (Data Feeds)
Work closely with the US, Singapore and China team, adapting to flexible work hours as needed (Data Feeds)
Enforce best practices in data governance, security, and compliance to protect sensitive information (Data Feeds)

Backend Development PostgreSQL Python ElasticSearch Git Hadoop Java Javascript MySQL Algorithms Data engineering Data Structures Go Redis Nosql Spark CI/CD RESTful APIs Data visualization Software Engineering Debugging

Posted about 5 hours ago

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🔥 Senior Data Scientist, Investing Data Science

Posted about 6 hours ago

📍 Canada

🔍 Fintech

🔧 Requirements

Excellent Python and SQL skills, first hand experience working with popular Python libraries such as Pandas, scikit-learn, numpy and Jupyter
Strong understanding of statistics: both frequentist and Bayesian approaches
Strong understanding of fundamental machine-learning algorithms: regression and decision trees

💡 Responsibilities

Analyze user behaviour to understand how clients interact with the product
Develop and implement experiments to evaluate new features and product changes
Apply causal inference methods in non-experimental settings
Use machine learning algorithms to segment users and personalize product experiences
Develop and maintain core data models and pipelines to ensure data quality and accessibility

Python SQL Machine Learning Numpy Algorithms Data science Regression testing Pandas Data modeling

Posted about 6 hours ago

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🔥 Software Engineer, Identity

Posted about 6 hours ago

📍 United States

🧭 Full-Time

💸 181000.0 - 226000.0 USD per year

🔍 Software Development

🏢 Company: Tailscale👥 51-100💰 $100,480,659 Series B almost 3 years agoInfrastructure Information Technology Cyber Security Network Security

🔧 Requirements

Significant experience with networking software and diagnosing networking issues
Deep understanding of networking concepts, including IP addressing, routing, NAT traversal, and VPN technologies
Experience with distributed systems
Experience with one or more SQL databases
Experience with Go is a plus
Ability to give and process constructive feedback, as well as work independently
Flexibility to adjust to the dynamic nature of a startup
Excellent written and verbal communication skills

💡 Responsibilities

Work as part of a team of engineers to design, build, test, and document core networking software components
Develop and optimize product features in areas such as our control plane, relay infrastructure, and networking protocols
Diagnose, troubleshoot, and resolve complex networking issues across different environments
Exhibit ownership over the running services that comprise Tailscale’s product by building for observability, participating in incident response, and fielding customer support escalations
Analyze and improve the efficiency, scalability, and stability of networking systems and resources
Bring a security-first mindset to both design and implementation, ensuring robust and secure networking components

Software Development SQL Cloud Computing Algorithms Data Structures Go REST API CI/CD Networking Software Engineering Debugging

Posted about 6 hours ago

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🔥 Senior Software Engineer (Python)

Posted about 6 hours ago

📍 United States

🧭 Full-Time

🔍 Healthcare Technology

🏢 Company: Humata Health, Inc

🔧 Requirements

5+ years of professional Python development experience in production environments
3+ years of experience with ML frameworks (TensorFlow, PyTorch, scikit-learn)
Strong experience with MLOps practices and tooling (model versioning, feature stores, experiment tracking)
Experience deploying and monitoring ML models in production environments
Proficiency with containerization (Docker) and orchestration (Kubernetes)
Experience with cloud platforms (AWS, GCP, or Azure) and their ML services
Strong understanding of data processing techniques and libraries (Pandas, NumPy)
Proficiency with version control systems (Git) and CI/CD pipelines

💡 Responsibilities

Develop scalable, high-performance Python applications that can handle significant data volumes and interface over gRPC
Design, build and maintain highly observable Python microservices that work seamlessly with our Golang service backend
Create reproducible, scalable, and monitored ML workflows from experimentation to production
Implement robust data processing pipelines for healthcare data
Build and maintain RESTful APIs and backend services that integrate with our ML systems
Collaborate with data scientists to operationalize models and improve model performance
Establish MLOps best practices, including CI/CD for ML, model versioning, and monitoring
Troubleshoot, debug, and optimize existing ML systems for performance and reliability
Work with cross-functional teams to define requirements and implement new features
Mentor junior engineers and contribute to engineering excellence

AWS Backend Development Docker PostgreSQL Python Software Development SQL GCP Git Kubernetes Machine Learning Numpy PyTorch Algorithms Data engineering Data Structures gRPC REST API Pandas Tensorflow CI/CD RESTful APIs Microservices Software Engineering Data analytics Debugging

Posted about 6 hours ago

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🔥 Sr. Data Scientist

Posted about 7 hours ago

📍 United States of America

💸 135886.0 - 189000.0 USD per year

🏢 Company: external

🔧 Requirements

3 years of experience with consumer pricing concepts such as price elasticity, price optimization, demand forecasting, or consumer segmentation
building models in Python using causal inference, predictive modeling, time series forecasting, optimization, econometrics or statistics to optimize decision-making
analyzing enterprise-level multi-dimensional data sets stored in Google Big Query, Snowflake, Amazon Redshift, or similar enterprise database with tools including Python and SQL
deploying machine learning algorithms using AWS, GCP, Airflow, Terraform, or Docker
presenting analytical methodology and results to non-technical audiences.

💡 Responsibilities

Create algorithms that drive company pricing and promotion strategies and engines.
Build and iterate algorithms and platforms for pricing and promotions strategies.
Prototype, test, deploy, and measure new pricing and promotions models and partner with data engineering teams to automate and productionize systems.
Apply econometric, statistical models and machine learning to explain and predict business impacts of pricing and promotions decisions.
Design, execute, and assess pricing and promotion experiments to drive both top and bottom line returns.
Utilize and continually learn latest modeling techniques to identify optimal price and promotions, including Bayesian optimization, surrogate modeling, causal inference, and others.

AWS Docker Python SQL Data Analysis GCP Machine Learning Snowflake Airflow Algorithms Data science Data visualization

Posted about 7 hours ago

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