Data conditioning – Who Needs Engineers https://whoneedsengineers.com/wne_live Software Engineering Recruitment Sun, 13 Oct 2024 22:00:02 +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 conditioning – Who Needs Engineers https://whoneedsengineers.com/wne_live 32 32 Quantitative Analysts / Data Scientists https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/quantitative-analysts-data-scientists/ Sun, 13 Oct 2024 22:00:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/quantitative-analysts-data-scientists/ Quantitative Analysts / Data Scientists

Job Description:

    We are seeking skilled Quantitative Analysts and Data Scientists to join our dynamic team for a remote engagement. In this role, you will be responsible for conducting advanced analytics on large datasets, utilizing statistical methods to derive actionable insights. Your expertise will guide multifaceted studies, enabling the organization to solve complex data challenges and discover hidden patterns. You will collaborate closely with various teams to develop and implement data-driven solutions, ensuring that our analytics capabilities are robust and effective. This position requires a strong foundation in data science principles, along with experience in programming and cloud data platforms. If you are passionate about leveraging data to drive business strategies and improve decision-making processes, we want to hear from you.

IT Languages:

  • Python
  • R
  • Java
  • C++

As a Quantitative Analyst / Data Scientist, your primary tasks will include the following::

    Formulate and conduct complex analytic studies using large data volumes.;; Analyze and interpret data utilizing mathematical and statistical techniques.;; Coordinate research activities, employing various data points and programming skills to organize data effectively.;; Conduct experiments on data points to reveal insights and solutions to data-related challenges.;; Lead data experiments initiated by the Data Science Team.;; Collaborate with Data Engineers to assemble data environments tailored to analytical needs.;; Develop methodologies for project prioritization and scheduling.;; Investigate problems and identify root causes.;; Define and document company data assets and models.;; Work in tandem with business units and engineering teams to strategize long-term data platform architecture.

Spoken Languages:

  • English;; Spanish

Skillset:

  • Data analysis
  • Predictive analytics
  • Data conditioning
  • Algorithm development
  • Software development

Soft Skills:

  • Analytical thinking
  • Problem-solving
  • Team collaboration
  • Effective communication
  • Adaptability

Qualifications:

  • Master’s degree in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Physics, Computer Science, or related fields
  • 4+ years of professional experience in data analytics or related domains
  • Proficient in programming languages such as Python, R, Java, and C++
  • Demonstrated experience applying data science methods to real-world problems
  • Experience with data visualization tools

Years of Experience:

    4

Location:

    United States

Job Benefits:

  • Remote work flexibility
  • Professional development opportunities
  • Health and wellness programs
  • Collaborative work environment
  • Access to industry-standard tools and resources

Working Conditions:

    Full Time

Employment Type:

    Temporary Contract

Company Culture:

  • Our company fosters a culture of innovation and collaboration, where diverse perspectives are valued and teamwork is encouraged. We believe in empowering our employees to take ownership of their projects and contribute to the company's success. Continuous learning and professional growth are supported through various training programs and mentorship opportunities.

Opportunities For Advancement:

  • Potential for permanent placement after the contract period, Opportunities to lead projects and initiatives, Access to advanced training and certifications

Visa Sponsorship:

    Available
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