Data validation – Who Needs Engineers
/wne_live
Software Engineering RecruitmentSat, 26 Oct 2024 09:30:02 +0000en-US
hourly
1 https://wordpress.org/?v=6.6.2/wne_live/wp-content/uploads/2023/06/cropped-wne_logo-3-32x32.pngData validation – Who Needs Engineers
/wne_live
3232Research Scientist – Data Science Engineering
/jobs/emerging-technologies-and-specialized-roles/research-scientist-data-science-engineering/
Sat, 26 Oct 2024 09:30:02 +0000/wne_live/jobs/jobs-categories/research-scientist-data-science-engineering/Research Scientist – Data Science Engineering
Job Description:
Join our dynamic team as a Research Scientist where you will play a pivotal role in advancing our AI technology. In this position, you will utilize your expertise in machine learning and generative models to enhance our innovative products that improve communication efficiency. Your responsibilities will include conducting in-depth research, prototyping new features, and collaborating closely with cross-functional teams to understand and address product scalability and performance challenges. This is an exciting opportunity to directly influence product development and strategy while working in a fast-paced, innovative environment. Your work will help shape the future of knowledge management and productivity tools.
IT Languages:
Python
R
As a Research Scientist, you will be responsible for the following tasks::
Stay current with the latest machine learning advancements and identify opportunities to leverage these technologies.;; Conduct research and prototype features, collaborating with product, design, and engineering teams.;; Regularly present research findings and project status to the data science team.;; Conduct surveys and gather ground truth data to validate research outcomes.;; Work alongside engineering to implement and maintain new methodologies.;; Assist in the recruitment and development of team members.
Spoken Languages:
English
Skillset:
Machine learning
Deep learning
Statistical modeling
Data validation
Research methodology
Soft Skills:
Excellent communication skills
Collaboration
Adaptability
Critical thinking
Qualifications:
Advanced degree in a quantitative field, PhD preferred
Strong background in machine and deep learning
Experience with statistical techniques, including causal methods and A/B testing
Proficiency in Python or R
Years of Experience:
5
Location:
United States
Job Benefits:
Equity options
Health insurance with low deductibles
Flexible time away programs
Family leave programs
Working Conditions:
Hybrid
Employment Type:
Permanent Contract
Company Culture:
We foster a diverse and inclusive environment where respect and equal opportunities are paramount. Our team thrives on collaboration and innovation, encouraging individuals from all backgrounds to contribute their unique perspectives.
Opportunities For Advancement:
Professional development programs, Mentorship opportunities, Potential for leadership roles, Cross-departmental projects
Visa Sponsorship:
Available
]]>QA Data Engineer (100% Remote)
/jobs/quality-assurance-and-testing/qa-data-engineer-100-remote/
Tue, 22 Oct 2024 18:30:02 +0000/wne_live/jobs/jobs-categories/qa-data-engineer-100-remote/QA Data Engineer (100% Remote)
Job Description:
We are seeking a dedicated and detail-oriented QA Data Engineer to join our dynamic team. This role primarily involves ensuring the quality and integrity of our data processes and systems. As a QA Data Engineer, you will be responsible for developing and implementing robust testing strategies, focusing on data validation and data quality assurance. You will collaborate closely with data engineers and software developers to identify and resolve any quality issues, ensuring that our systems operate efficiently and accurately. This position is fully remote, allowing you to work from anywhere in the United States while contributing to our mission of providing exceptional services.
IT Languages:
Python
SQL
Java
As a QA Data Engineer, you will undertake various responsibilities critical to ensuring data quality and system reliability.:
Design and implement automated tests for data validation processes;; Develop and maintain testing frameworks and tools;; Analyze data discrepancies and work with the data team to resolve issues;; Create comprehensive documentation for testing procedures and outcomes;; Collaborate with cross-functional teams to define data quality standards
Spoken Languages:
English
Skillset:
Automated testing
Data quality assurance
Data validation
Testing frameworks
Soft Skills:
Analytical thinking
Attention to detail
Effective communication
Problem-solving
Team collaboration
Qualifications:
Bachelor’s degree in Computer Science, Information Technology, or a related field
Strong understanding of data structures and algorithms
Experience with data validation and quality assurance techniques
Years of Experience:
5
Location:
United States
Job Benefits:
Flexible working hours
Health insurance
Retirement savings plan
Professional development opportunities
Working Conditions:
Remote
Employment Type:
Permanent Contract
Company Culture:
Our company fosters a collaborative and inclusive environment where innovation is encouraged. We value teamwork, integrity, and a commitment to excellence in all our endeavors.
Opportunities For Advancement:
Career development programs, Leadership training initiatives, Mentorship opportunities
Join us as a Data Analyst where you will play a crucial role in enhancing digital mapping applications. This position allows you to leverage your research skills to validate mapping data, ensuring accurate navigation and improved user experiences. You will be responsible for verifying business names, checking opening hours, and confirming the accuracy of distances between various locations. Your efforts will directly contribute to the reliability of mapping services, making it safer and more efficient for users. This role offers a unique opportunity to work independently while enjoying the flexibility to manage your schedule according to your personal needs.
IT Languages:
Python
SQL
R
As a Data Analyst, your main tasks will involve reviewing and validating mapping data to ensure accuracy.:
Verify the correctness of business names and their operational hours;; Check the accuracy of distances between starting points and destinations;; Conduct research to validate mapping data;; Utilize mapping applications and search engines effectively
Spoken Languages:
English
Skillset:
Research skills
Data validation
Map application usage
Search engine proficiency
Soft Skills:
Attention to detail
Critical thinking
Problem-solving
Qualifications:
Fluency in English
Strong research and analytical skills
Excellent local knowledge of Ireland
Understanding of the geography and culture of Ireland
Years of Experience:
0
Location:
Ireland
Job Benefits:
Flexible working hours
Work from home
Competitive pay rate
Opportunity to develop research skills
Avoid long commutes
Working Conditions:
Part Time
Employment Type:
Contract
Company Culture:
We foster a work environment that is supportive, flexible, and encourages continuous learning. Our team values independence and innovation, allowing employees to thrive while contributing to meaningful projects.
Opportunities For Advancement:
Skill development, Potential for full-time roles, Career growth within the company
Visa Sponsorship:
Not Available
]]>Data Analyst
/jobs/data-sciene-and-analytics/data-analyst-56/
Thu, 03 Oct 2024 06:45:02 +0000/wne_live/jobs/jobs-categories/data-analyst-56/Data Analyst
Job Description:
An exciting opportunity awaits for a Data Analyst to join a leading financial services organization experiencing significant growth in Ireland. This role entails the collection, analysis, and interpretation of data to facilitate informed decision-making within the organization. As a Data Analyst, you will be instrumental in deriving meaningful insights from vast datasets, recognizing trends, and recommending actionable strategies to improve business operations. The successful candidate will possess a strong analytical mindset, meticulous attention to detail, and be proficient in various data analysis methodologies and tools. You will engage with cross-functional teams to understand their data requirements and will actively collaborate with IT and data engineering teams to ensure data is readily available and accessible for analysis. Your expertise will help enhance the organization's data analytics processes and tools, thereby contributing to its overall success.
IT Languages:
SQL
R
Python
The Data Analyst will be responsible for a variety of tasks that ensure the integrity and usability of financial data for analysis.:
Gather and extract financial data from diverse sources;; Ensure accuracy and reliability of data through validation processes;; Transform data into a format appropriate for analysis while maintaining quality;; Conduct exploratory data analysis to uncover patterns and trends;; Utilize statistical techniques to generate actionable insights from datasets;; Develop and maintain financial models to evaluate different business scenarios;; Create and update dashboards and reports to communicate analytical findings;; Employ visualization tools to effectively present complex data insights;; Collaborate with cross-functional teams to address analytical needs;; Work with IT and data engineering teams to guarantee data availability;; Identify and implement improvements in data analytics processes
Spoken Languages:
English
Skillset:
Data validation
Data transformation
Exploratory data analysis
Statistical analysis
Financial modeling
Dashboard creation
Data visualization
Soft Skills:
Strong analytical and problem-solving skills
Attention to detail
Effective communication skills
Ability to work collaboratively in teams
Qualifications:
Bachelor’s or Master’s degree in Finance, Economics, Statistics, or Data Science
Previous experience as a Data Analyst in the insurance sector
Years of Experience:
3
Location:
Ireland
Job Benefits:
Competitive salary
Health insurance
Professional development opportunities
Flexible working arrangements
Working Conditions:
Full Time
Employment Type:
Permanent Contract
Company Culture:
The organization fosters a collaborative work environment that emphasizes innovation, professional growth, and employee engagement. Team members are encouraged to share ideas and contribute to the overall success of the company.
Opportunities For Advancement:
Potential for career progression within the organization, Access to training and development programs
At our organization, we recognize the vital role that accurate mapping plays in decision-making. As a Data Analyst, you will have the unique opportunity to contribute to the quality of mapping data essential for digital mapping applications. Your primary responsibilities will include reviewing and validating mapping information to ensure that navigation routes are safe and accurate. You will be tasked with verifying business names and their operating hours, ensuring that this information is precise to enhance user experiences. Additionally, your research skills will be crucial in confirming that distances between locations are accurately represented. This position offers a flexible working schedule, allowing you to choose your hours and work from the comfort of your own home. Whether you are a student, a retiree seeking new challenges, or a professional looking for part-time work, this role is designed to fit seamlessly into your lifestyle.
IT Languages:
Python
SQL
R
As a Data Analyst, your role will involve various responsibilities focused on ensuring the accuracy of mapping data.:
Review mapping data for accuracy and completeness;; Validate business names and operating hours;; Check distance measurements between locations;; Conduct research to verify local mapping information;; Provide feedback to improve data quality
Spoken Languages:
English;; Swedish
Skillset:
Research
Data validation
Mapping applications
Search engine knowledge
Social media familiarity
Soft Skills:
Attention to detail
Problem-solving skills
Effective communication
Self-motivated
Adaptability
Qualifications:
Fluent in English and Swedish
Excellent research skills
Strong local knowledge of Sweden
Good understanding of Swedish geography and culture
Analytical mindset
Years of Experience:
0
Location:
Sweden
Job Benefits:
Work from home
Flexible working hours
Competitive pay
Skill development opportunities
Avoid long commutes
Working Conditions:
Part Time
Employment Type:
Temporary Contract
Company Culture:
Our company fosters a culture of flexibility, inclusivity, and continuous learning. We value diverse experiences and perspectives, encouraging employees to thrive in a supportive environment. Collaboration and independent work are equally emphasized, ensuring that all team members can contribute meaningfully while achieving their personal and professional goals.
Opportunities For Advancement:
Skill enhancement through training, Potential for full-time positions, Networking opportunities within the industry
We are seeking a dedicated and experienced Data Analyst/Data Scientist to join our team. This role is crucial for analyzing complex datasets in FDA-regulated environments and providing valuable insights that drive compliance and product development. The ideal candidate will possess a solid understanding of FDA regulations and a passion for data-driven decision-making. You will be responsible for building statistical models, interpreting data trends, and presenting your findings to various stakeholders. Your expertise will contribute to maintaining data integrity and compliance across multiple departments, ensuring that our data practices align with industry standards. If you thrive in a dynamic environment and are eager to leverage your analytical skills to support critical business functions, we would love to have you on board.
IT Languages:
Python
R
SQL
As a Data Analyst/Data Scientist, you will engage in a variety of tasks that require both technical proficiency and collaborative efforts.:
Analyze complex datasets to extract insights relevant to FDA compliance and product development;; Develop and implement statistical models and algorithms to identify data trends;; Create and present data visualizations and reports for key stakeholders;; Collaborate with teams in regulatory affairs, quality assurance, and clinical research;; Conduct data validation and quality checks to ensure analysis accuracy;; Stay informed on industry trends and FDA regulations impacting data practices;; Assist in developing data management strategies for improving data accessibility;; Provide training and support on data analysis tools and methodologies
Spoken Languages:
English
Skillset:
Statistical analysis
Data visualization
Machine learning
Data validation
Regulatory compliance
Soft Skills:
Analytical thinking
Attention to detail
Effective communication
Problem-solving
Collaboration
Qualifications:
Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field
Master’s degree preferred
Significant experience in FDA-regulated environments
Years of Experience:
10
Location:
United States
Job Benefits:
Health insurance
Retirement plan
Flexible working hours
Remote work options
Professional development opportunities
Working Conditions:
Full Time
Employment Type:
Permanent Contract
Company Culture:
We foster a culture of innovation and collaboration, where every team member's contributions are valued. Our work environment encourages continuous learning and professional growth, with a strong commitment to maintaining high ethical standards and compliance. We believe in supporting our employees through various benefits and opportunities that enhance their skills and career paths.
Opportunities For Advancement:
Career progression to Senior Data Analyst, Potential leadership roles in data management, Opportunities to work on high-impact projects
We are seeking a dedicated Data Analyst to join our dynamic Product team. In this role, you will dive deep into our comprehensive datasets across various products and client applications. Your primary responsibility will be to ensure the integrity and quality of our data models, implementing rigorous validation checks and transformations. You must possess a solid understanding of data modeling concepts and demonstrate the ability to create and maintain Entity-Relationship Diagrams (ERDs). A high proficiency in SQL is essential, as you will be troubleshooting data-related issues and identifying opportunities for enhancing our data models. Collaboration with engineers and product managers is crucial, as you will be actively working across multiple teams and projects to drive data excellence. If you have prior experience with real estate systems such as Yardi, MRI, VTS, RealPage, or Argus, you will have a significant advantage in this role.
IT Languages:
SQL
Python
As a Data Analyst, your role will encompass a variety of critical tasks aimed at optimizing our data processes and ensuring high-quality data outputs.:
Analyze raw data from vendors and applications to identify primary keys, anomalies, and potential issues;; Create ERDs that serve as blueprints for engineers to develop ETL pipelines;; Troubleshoot data issues raised by clients and communicate findings to data engineers;; Quantify and document findings to share with clients concerning data quality and integrity;; Develop and implement validation rules for data pipelines to ensure accuracy;; Create and maintain comprehensive data dictionaries for all data pipelines
Spoken Languages:
English;; Spanish
Skillset:
SQL
Data modeling
Entity-Relationship Diagrams
ETL processes
Data validation
Data analysis
Soft Skills:
Strong communication skills
Team collaboration
Problem-solving mindset
Attention to detail
Qualifications:
Bachelor’s degree in Computer Science, Business Intelligence, or Data Analytics
Strong analytical skills with a focus on data-driven decision making
Years of Experience:
2
Location:
New York, NY, United States
Job Benefits:
Competitive Base Salary
Equity options
Comprehensive healthcare plans
Paid parental leave
Educational credits
Unlimited vacation policy
Flexible work schedule
Working Conditions:
Full Time
Employment Type:
Permanent Contract
Company Culture:
Our culture emphasizes collaboration, innovation, and a commitment to excellence. We believe in fostering an inclusive environment where every team member can contribute their unique perspectives and talents.
Opportunities For Advancement:
Career development programs, Mentorship opportunities, Potential for leadership roles
We are seeking a skilled Software Tester with extensive experience in ETL and data testing to join our dynamic team. The ideal candidate will have a solid background in Oracle database technologies and be proficient in SQL and Python scripting. You will play a crucial role in ensuring the quality and integrity of our data processes, analyzing source systems, and validating data across various stages of our ETL processes. Your expertise will be vital in conducting thorough data comparisons and validations, as well as writing complex SQL queries to verify proper mapping of data elements. If you are passionate about data quality and enjoy working in a fast-paced environment, we would love to hear from you.
IT Languages:
Python
SQL
As a Software Tester, your responsibilities will include the following::
Conduct ETL testing to ensure data accuracy and consistency;; Develop and execute test plans, test cases, and test scripts;; Analyze source systems and staging areas for data validation;; Write complex SQL queries to verify data mapping;; Utilize Python for scripting and automation of testing processes;; Collaborate with development teams to understand data flows and requirements;; Document testing results and report issues to stakeholders
Spoken Languages:
English
Skillset:
ETL testing
Oracle database
SQL scripting
Python scripting
Data validation
Unix/Linux commands
Soft Skills:
Attention to detail
Strong analytical skills
Effective communication
Problem-solving abilities
Team collaboration
Qualifications:
Bachelor’s degree in Computer Science or related field
Relevant certifications in software testing or data management
Years of Experience:
6
Location:
United States
Job Benefits:
Competitive salary
Flexible working hours
Remote work options
Professional development opportunities
Health and wellness programs
Working Conditions:
Remote
Employment Type:
Temporary Contract
Company Culture:
We foster an inclusive and collaborative work environment that encourages innovation and continuous learning. Our team members are valued for their contributions and are provided with opportunities for personal and professional growth.
Opportunities For Advancement:
Leadership roles in testing and quality assurance, Specialization in data management or software development, Mentorship and training opportunities
Visa Sponsorship:
Not Available
]]>Master's Student: AI-Based Object Detection and Depth Estimation for Pre-Crash Assessments
/jobs/emerging-technologies-and-specialized-roles/masters-student-ai-based-object-detection-and-depth-estimation-for-pre-crash-assessments/
Wed, 25 Sep 2024 19:20:02 +0000/wne_live/jobs/jobs-categories/masters-student-ai-based-object-detection-and-depth-estimation-for-pre-crash-assessments/Master's Student: AI-Based Object Detection and Depth Estimation for Pre-Crash Assessments
Job Description:
We are seeking a passionate and driven master's student to contribute to groundbreaking research in the field of AI-based object detection and depth estimation, particularly focusing on pre-crash scenarios. This role involves leveraging the latest advancements in synthetic data generation and sensor data fusion to enhance the capabilities of driver assistance systems and highly automated driving. As the automotive industry evolves, the demand for sophisticated detection of diverse objects in the driving environment is paramount. You will engage in literature research to explore existing datasets and models, develop a sensor data fusion framework for accurate object recognition, and estimate distances using computer vision techniques. The position requires you to train and optimize machine learning models for effective object detection, create test cases for robust validation of methodologies, and define the limitations of your approach. This is a unique opportunity to work at the forefront of automotive technology, contributing to the safety and innovation of future vehicles.
IT Languages:
Python
Pytorch
Tensorflow
Keras
Pandas
Numpy
CV2
In this role, you will be responsible for developing advanced algorithms for object detection using AI techniques.:
Conduct literature research on existing object-specific datasets and models;; Build a sensor data fusion framework for object recognition and distance estimation;; Train and optimize machine learning models for accurate object detection;; Create and execute test cases for validating data and model methodologies;; Identify and define the limitations of the developed methods
Spoken Languages:
English;; German
Skillset:
Computer Vision
Machine Learning
Sensor Data Fusion
Data Validation
Soft Skills:
Strong communication skills
Teamwork
Structured approach
Ability to drive personal projects
Qualifications:
Bachelor’s degree in Computer Science or related STEM fields
Focus on Machine Learning and Computer Vision
Years of Experience:
2
Location:
Europe
Job Benefits:
Flexible working hours
Opportunities for professional development
Work-life balance initiatives
Access to exclusive automotive events
Working Conditions:
Full Time
Employment Type:
Internship
Company Culture:
Our culture is rooted in innovation and tradition, emphasizing creativity and unconventional thinking. We strive to push boundaries and set new standards in the automotive industry, fostering an environment where every team member can contribute to making automotive dreams a reality.
Opportunities For Advancement:
Career growth in the field of AI and automotive technology, Possibility of full-time employment after internship, Networking opportunities with industry professionals
Join our dynamic team as a Junior QA Engineer, where you will play a critical role in ensuring the quality and reliability of our systems. You will be involved in various testing phases, including order flow testing to validate the end-to-end processing of orders. Your responsibilities will also include integration testing, where you will verify the interaction between our SAP systems and other platforms, making sure that data remains consistent throughout the order transfer process. In addition, you will focus on data validation, ensuring the accuracy of order information and synchronization between different systems. You will have the opportunity to simulate error scenarios to test our exception handling mechanisms and assess system performance under stress to identify areas for optimization. This position offers the perfect environment for an ambitious individual eager to learn and grow within the quality assurance field.
IT Languages:
Java
SQL
As a Junior QA Engineer, your primary responsibilities will encompass a variety of testing tasks to guarantee the integrity of our systems and processes.:
Design and execute comprehensive end-to-end order flow tests.;; Conduct integration testing to ensure seamless interaction between SAP and other platforms.;; Validate the accuracy of order data and ensure proper synchronization across systems.;; Simulate error conditions to evaluate exception handling protocols.;; Perform performance tests under various load conditions and identify optimization opportunities.
Spoken Languages:
English;; Dutch
Skillset:
Quality testing
Quality control
Automation
Data validation
Performance testing
Soft Skills:
Strong communication skills
Proactive attitude
Ability to work in diverse teams
Adaptability
Qualifications:
Basic understanding of QA methodologies
Familiarity with SAP systems
Years of Experience:
1
Location:
Amsterdam, North Holland, Netherlands, EU
Job Benefits:
Flexible working hours
Professional development opportunities
Health insurance
Inclusive work environment
Working Conditions:
Full Time
Employment Type:
Temporary Contract
Company Culture:
We foster a collaborative and inclusive environment where diversity is celebrated. We believe that a strong sense of belonging enhances our team's performance and creativity. Our culture encourages continuous learning and professional growth, making it a great place for individuals to thrive.
Opportunities For Advancement:
Career development programs, Mentorship opportunities, Potential for permanent employment