Data visualization techniques – Who Needs Engineers https://whoneedsengineers.com/wne_live Software Engineering Recruitment Wed, 09 Oct 2024 09:50:02 +0000 en-US hourly 1 https://wordpress.org/?v=6.6.2 https://whoneedsengineers.com/wne_live/wp-content/uploads/2023/06/cropped-wne_logo-3-32x32.png Data visualization techniques – Who Needs Engineers https://whoneedsengineers.com/wne_live 32 32 Data Analyst Intern – SUMMER 2025 (3-months) https://whoneedsengineers.com/jobs/data-sciene-and-analytics/data-analyst-intern-summer-2025-3-months/ Wed, 09 Oct 2024 09:50:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/data-analyst-intern-summer-2025-3-months/ Data Analyst Intern – SUMMER 2025 (3-months)

Job Description:

    Join us for an exciting opportunity as a Data Analyst Intern for the summer of 2025, where you will play a pivotal role in enhancing security strategies within our game studios. You will be immersed in a dynamic and innovative environment, working alongside a talented team that is dedicated to inspiring players around the globe. This internship offers a 12-week experience, commencing in May 2025, where you will gain invaluable insights and hands-on experience in data analysis, security trends, and actionable insights that directly impact decision-making at EA. Your contributions will support the Senior Security Software Engineer and the SPEAR Automation team, allowing you to make a significant impact on how security is understood and managed in our organization.

IT Languages:

  • SQL
  • Python
  • R

As a Data Analyst Intern, your primary responsibilities will include analyzing and interpreting complex datasets to drive actionable recommendations and insights.:

    Analyze data from our source code security scanning platform to identify trends and risks.;; Collaborate with the security team to create dashboards, reports, and metrics for key security questions.;; Identify patterns and anomalies within data sets to inform the security strategies of game studios.;; Assist in designing data models that enhance data structure and reporting capabilities.;; Work with development and security teams to ensure effective data gathering and analysis.

Spoken Languages:

  • English

Skillset:

  • Data analysis tools
  • Statistical analysis
  • Data visualization techniques
  • Business intelligence tools
  • API integration

Soft Skills:

  • Strong communication skills
  • Team collaboration
  • Critical thinking
  • Problem-solving

Qualifications:

  • Pursuing a degree in Data Science, Statistics, Computer Science, or a related field.
  • Demonstrated understanding of statistical analysis and data visualization techniques.
  • Familiarity with security concepts or a willingness to learn quickly.

Years of Experience:

    1

Location:

    United States

Job Benefits:

  • Hands-on experience in a leading tech environment
  • Mentorship from industry professionals
  • Networking opportunities within the gaming industry
  • Potential for future employment opportunities

Working Conditions:

    Full Time

Employment Type:

    Internship

Company Culture:

  • Our culture is centered around creativity, innovation, and inclusivity, fostering an environment where every employee can thrive and contribute meaningfully to the gaming landscape. We prioritize learning and development, ensuring that you are set up for success in your career.

Opportunities For Advancement:

  • Potential full-time positions after graduation, Opportunities for professional development, Networking with industry leaders

Visa Sponsorship:

    Not Available
]]> Data Scientist https://whoneedsengineers.com/jobs/data-sciene-and-analytics/data-scientist-21/ Tue, 08 Oct 2024 21:50:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/data-scientist-21/ Data Scientist

Job Description:

    We are seeking a highly skilled Data Scientist to lead a pivotal public health research initiative that utilizes an artificial intelligence-driven methodology for community contact tracing and exposure notification. This innovative project is designed specifically to bolster disease control measures within medical facilities. You will be leveraging existing electronic health record data and advanced cloud computing resources to automate and improve the tracking of patient-provider interactions while predicting potential pathogen spread within healthcare environments. Your expertise will be essential in developing synthetic, time-sensitive electronic health records and implementing robust privacy-preserving mechanisms. This role requires a deep understanding of statistical methods and machine learning algorithms to create predictive models that enhance public health outcomes.

IT Languages:

  • Python
  • R
  • SQL

In this role, you will engage in a variety of tasks aimed at advancing our understanding and capabilities in public health data science.:

    Utilize an open-source patient data generation tool to create synthetic electronic health records that simulate patient interactions while evaluating privacy mechanisms;; Automate the tracking of patient-provider interactions using EHR data to develop a dynamic graph representing potential transmission pathways;; Implement tokenization techniques to facilitate data analysis while ensuring the protection of patient and provider privacy;; Apply Graph Modeling and Learning Linked Prediction to devise predictive models for the transmission of infectious diseases;; Employ unsupervised learning methods to train and refine predictive models effectively;; Develop advanced analytics to assign risk scores based on established risk thresholds;; Lead the creation of an alert system predicated on defined risk scores with the capability to reverse tokenization under policy and human oversight

Spoken Languages:

  • English

Skillset:

  • Statistical methods
  • Machine learning algorithms
  • Data visualization techniques
  • Synthetic-data generation
  • Predictive modeling
  • Graph Neural Network
  • Privacy tokenization
  • Numerical solutions for differential equations
  • Docker
  • AWS

Soft Skills:

  • Leadership
  • Communication
  • Problem-solving
  • Team collaboration

Qualifications:

  • PhD in Data Science, Statistics, Applied Mathematics, Computer Science, Engineering, Public Health, Epidemiology, Biostatistics, or related fields
  • Master’s degree with significant research contributions may be considered

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:

    Full Time

Employment Type:

    Permanent Contract

Company Culture:

  • Our company fosters a collaborative and innovative environment where team members are encouraged to contribute ideas and solutions that impact public health positively. We value diversity, inclusivity, and the continuous pursuit of knowledge and improvement.

Opportunities For Advancement:

  • Leadership roles in data science, Opportunities to lead interdisciplinary research projects, Potential for publication in scientific journals, Networking opportunities with public health officials

Visa Sponsorship:

    Available
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