Current jobs related to Senior Data Scientist - Warszawa, Mazovia - dotData

  • Senior Data Scientist

    2 weeks ago

    Warszawa, Mazovia, Czech Republic dotData Full time

    Minimum Qualifications:3+ years professional experience building data science-driven solutions including data processing, feature engineering/selection, model training/tuning, and post-deployment validationStrong knowledge of data analytics and machine learning, and familiarity with common use cases across different industriesStrong hands-on coding skills...

  • Data Analyst/Scientist

    2 weeks ago

    Warszawa, Mazovia, Czech Republic beBee Careers Full time

    About the RoleThis position demands a unique blend of technical expertise and business acumen. As a Data Scientist/Analyst, you will be working on cutting-edge data-driven projects focused on process mining, churn analysis, fraud prevention, and NLP. Main ResponsibilitiesDevelop and validate machine learning models tailored to business needsAnalyze and...

  • AI-Powered Data Insights Specialist

    2 weeks ago

    Warszawa, Mazovia, Czech Republic beBee Careers Full time

    Data Scientist Role">We are looking for a skilled Data Scientist to join our international team dedicated to delivering efficient and high-quality data solutions. As a key member of the team, you will collaborate with fellow Data Scientists, Analysts and Engineers to drive innovation and develop top-notch analytical models and methods.">">The ideal candidate...

  • Data Science Expert

    2 weeks ago

    Warszawa, Mazovia, Czech Republic beBee Careers Full time

    Machine Learning Engineer/ScientistWe are seeking a skilled Machine Learning Engineer/Scientist to join our team. As a Data Scientist/Analyst, you will be working on cutting-edge data-driven projects focused on areas such as process mining, churn analysis, fraud prevention, and NLP. Your key responsibilities will include:Building and validating machine...

  • Senior Data Architect

    2 weeks ago

    Warszawa, Mazovia, Czech Republic beBee Careers Full time

    Unlock the Power of Data EngineeringWe're seeking a skilled Senior Data Engineer to join our team and help us drive business growth through data-driven insights.About the Role:We'll work together to design, build, and deliver scalable data pipelines using modern cloud-based architectures, ensuring data reliability and performance.You'll develop new API...

  • Senior Data Architect

    2 weeks ago

    Warszawa, Mazovia, Czech Republic beBee Careers Full time

    About the RoleWe are seeking a skilled Senior Data Engineer to join our team. This role will involve building and delivering scalable data pipelines using modern cloud-based architectures, optimizing data reliability and performance.Key ResponsibilitiesDevelop new API integrations to streamline and enhance data accessibility across business...

  • Senior Actuarial Data System Specialist

    2 weeks ago

    Warszawa, Mazovia, Czech Republic beBee Careers Full time

    About the RoleThis is a challenging opportunity for an experienced PL/SQL Developer to join our team and contribute to the development of a complex, large-scale transformation chain of actuarial data.The platform serves as the foundational system for a leading insurance group, providing the first touchpoint for data coming from over 40 countries.As a key...

  • Senior Data Engineer @

    2 weeks ago

    Warszawa, Mazovia, Czech Republic Asana Full time

    About youDegree in Computer Science, Engineering or equivalent technical field experience6+ years of hands-on experience in Data Engineering or Software Engineering.Fluent in SQL and proficient in at least one programming language (e.g., Python, Java, Scala etc.)Strong expertise in Databricks, AWS S3, Spark, Snowflake, and AirflowKnowledge of system and...

  • Data Automation Specialist

    2 weeks ago

    Warszawa, Mazovia, Czech Republic beBee Careers Full time

    Job Overview:As a customer-facing data scientist, you will work directly with clients to automate data science solutions using our products. Your role will involve working closely with the product/engineering teams to incorporate client feedback and improve product functionalities.Key Responsibilities:Define business problems with clients and translate them...

  • Data Platform Specialist

    2 weeks ago

    Warszawa, Mazovia, Czech Republic beBee Careers Full time

    **System Developer: Data Platform Specialist**This is a challenging role that involves working with large volumes of data to ensure technical accuracy and quality. As a System Developer, you will be responsible for uploading and validating actuarial datasets, identifying and resolving errors, and maintaining the flow of data for downstream processing.The...

Senior Data Scientist

2 weeks ago

Warszawa, Mazovia, Czech Republic dotData Full time
  • Proven experience (typically 5+ years) working as a Data Scientist, with a strong track record of successfully delivering data science projects from problem definition to deployment and impact measurement.
  • Solid understanding of machine learning algorithms, statistical modeling, and data analysis techniques.
  • Programming proficiency in Python or other programming language and working experience with its data science libraries. (e.g. scikit-learn, pandas, numpy)
  • Excellent analytical and problem-solving skills with the ability to translate business needs into technical solutions.
  • Strong communication and collaboration skills, with the ability to work effectively in a team environment.
  • Fluency in English (both written and spoken).

Nice to Have:

  • Awareness of the competitive landscape within the AutoML market, including understanding the strengths and weaknesses of various platforms and approaches.
  • Hands-on experience using one or more AutoML platforms (e.g., Dataiku, Databricks, AWS Sagemaker, DataRobot, Google Cloud AI Platform, Azure Machine Learning etc).
  • Experience with user interface (UI) and user experience (UX) principles and a user-centric approach to problem-solving.
  • Familiarity with software development workflows and agile methodologies.
  • Experience with cloud computing platforms (e.g., AWS, Azure, GCP).

About dotData

dotData is revolutionizing the way enterprises leverage their data with our innovative AutoML platform. We empower data scientists and business users alike to accelerate the data science process, uncover hidden insights, and drive significant business value. Our cutting-edge technology automates feature engineering, model building, and deployment, allowing teams to focus on strategic initiatives and faster time-to-value. dotData Poland plays a crucial role in our global innovation and product development efforts.

The Opportunity

dotData Poland is seeking a highly motivated and experienced Senior Data Scientist to join our dynamic team in Warsaw. In this role, you will be instrumental in shaping the future of our flagship product, dotData Enterprise Studio – our new intuitive interface for our powerful AutoML platform. You will collaborate closely with our Product and Engineering teams to ensure the usability, quality, and impact of new features, as well as contribute directly to the advancement of our core machine learning components. This is an exciting opportunity to make a significant impact on a leading-edge product in the rapidly evolving AutoML landscape.

Responsibilities

  • Feature Validation and Feedback: Collaborate closely with Product Managers and Engineers to thoroughly validate the importance, usability, and quality of new features within dotData Enterprise Studio. Provide critical feedback on product functions from a field perspective, anticipating potential product issues. This includes designing and executing experiments, analyzing user workflows, and providing constructive feedback.
  • Domain Expertise and Engineering Alignment: Engage in deep technical domain discussions with Engineering team members, demonstrating sufficient background knowledge to contribute meaningfully to the advancement of the platform.
  • Prototyping and Innovation: Proactively suggest and prototype improvements and enhancements to the underlying machine learning components of the dotData platform. This may involve exploring new algorithms, techniques, or methodologies to enhance model performance, explainability, or efficiency.
  • Collaboration and Communication: Effectively communicate your findings, insights, and recommendations to both technical and non-technical audiences. Work collaboratively within cross-functional teams to ensure alignment and successful implementation of new features and improvements.
  • Staying Current: Keep abreast of the latest advancements in machine learning, data science, and the AutoML market.

Qualifications

  • Proven experience (typically 5+ years) working as a Data Scientist, with a strong track record of successfully delivering data science projects from problem definition to deployment and impact measurement.
  • Solid understanding of machine learning algorithms, statistical modeling, and data analysis techniques.
  • Programming proficiency in Python or other programming language and working experience with its data science libraries. (e.g. scikit-learn, pandas, numpy)
  • Excellent analytical and problem-solving skills with the ability to translate business needs into technical solutions.
  • Strong communication and collaboration skills, with the ability to work effectively in a team environment.
  • Fluency in English (both written and spoken).

Nice to Have

  • Awareness of the competitive landscape within the AutoML market, including understanding the strengths and weaknesses of various platforms and approaches.
  • Hands-on experience using one or more AutoML platforms (e.g., Dataiku, Databricks, AWS Sagemaker, DataRobot, Google Cloud AI Platform, Azure Machine Learning etc).
  • Experience with user interface (UI) and user experience (UX) principles and a user-centric approach to problem-solving.
  • Familiarity with software development workflows and agile methodologies.
  • Experience with cloud computing platforms (e.g., AWS, Azure, GCP).
,[Feature Validation and Feedback: Collaborate closely with Product Managers and Engineers to thoroughly validate the importance, usability, and quality of new features within dotData Enterprise Studio. Provide critical feedback on product functions from a field perspective, anticipating potential product issues. This includes designing and executing experiments, analyzing user workflows, and providing constructive feedback., Domain Expertise and Engineering Alignment: Engage in deep technical domain discussions with Engineering team members, demonstrating sufficient background knowledge to contribute meaningfully to the advancement of the platform., Prototyping and Innovation: Proactively suggest and prototype improvements and enhancements to the underlying machine learning components of the dotData platform. This may involve exploring new algorithms, techniques, or methodologies to enhance model performance, explainability, or efficiency., Collaboration and Communication: Effectively communicate your findings, insights, and recommendations to both technical and non-technical audiences. Work collaboratively within cross-functional teams to ensure alignment and successful implementation of new features and improvements., Staying Current: Keep abreast of the latest advancements in machine learning, data science, and the AutoML market.] Requirements: Machine learning, Data analysis, Data science, scikit-learn, pandas, NumPy, Databricks, AWS, Google cloud, Azure, Machine Learning, User Interface, UX, Cloud, GCP Tools: Jira, Confluence, GitHub, GIT. Additionally: Training budget, Free coffee, Bike parking, Shower, Free snacks, Modern office, Startup atmosphere, No dress code.