Applied Statistics – Who Needs Engineers https://whoneedsengineers.com/wne_live Software Engineering Recruitment Sat, 26 Oct 2024 13:30:02 +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 Applied Statistics – Who Needs Engineers https://whoneedsengineers.com/wne_live 32 32 Data Scientist https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/data-scientist-34/ Sat, 26 Oct 2024 13:30:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/data-scientist-34/ Data Scientist

Job Description:

    Join our dynamic team as a Data Scientist, where you will play a pivotal role in assisting clients to gain profound insights into their unique challenges and organizational needs. In this position, you will partner closely with project managers, strategists, and engineers to identify relevant data sets and carry out comprehensive statistical analyses that guide strategic decision-making. Your ability to visualize and clearly communicate these statistical findings will be essential as you engage with a diverse range of stakeholders, both technical and non-technical. Your contributions will not only enhance the overall product and data ecosystem but also involve collaboration with client teams of varying compositions. In this AI-focused environment, you will be encouraged to embrace a growth mindset, supporting machine learning engineers as necessary while also seeking their assistance when needed. This role offers an opportunity to work on exciting projects where your insights directly influence client outcomes.

IT Languages:

  • Python
  • SQL
  • Jupyter
  • Matplotlib

As a Data Scientist, your responsibilities will encompass a variety of crucial tasks.:

    Identify and analyze data sets pertinent to key research inquiries.;; Perform statistical analyses to inform strategic business decisions.;; Visualize and communicate statistical findings to diverse audiences.;; Collaborate with client teams and maintain project status updates.;; Identify opportunities for enhancement within the product or data ecosystem.;; Support machine learning engineers and participate in cross-disciplinary collaboration.

Spoken Languages:

  • English

Skillset:

  • Applied statistics
  • Product analytics
  • Data visualization
  • Causal modeling
  • Econometrics

Soft Skills:

  • Inquisitive
  • Inventive
  • Open
  • Caring
  • Trustworthy

Qualifications:

  • Strong foundation in applied statistics and product analytics
  • Proven ability to formulate clear hypotheses and execute relevant statistical tests
  • Familiarity with machine learning models for prototyping and evaluation
  • Competence in Python and common data science tools such as Jupyter, Git, SQL, and Matplotlib
  • Experience with causal inference, A/B testing, or experimental design
  • Ability to navigate complex client environments while maintaining high service standards
  • Knowledge in specialized analytical domains, including causal modeling and econometrics
  • Demonstrated experience in data storytelling and effective communication of technical findings

Years of Experience:

    5

Location:

    United States

Job Benefits:

  • Competitive salary
  • Company stock grant
  • Gold level health, dental, and vision insurance
  • Flexible spending accounts
  • Short and long-term disability insurance
  • Unlimited vacation
  • Paid parental leave

Working Conditions:

    Remote

Employment Type:

    Permanent Contract

Company Culture:

  • We prioritize building an inclusive, professional, and enjoyable workplace that encourages collaboration and creativity. Our commitment to diversity and inclusion is reflected in our company values, fostering an environment where every team member is encouraged to learn, innovate, and share their experiences while caring for one another.

Opportunities For Advancement:

  • Professional development through continuous learning, Exposure to diverse projects, Cross-disciplinary collaboration opportunities

Visa Sponsorship:

    Available
]]> Working Student / Data / Research Scientist https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/working-student-data-research-scientist/ Wed, 25 Sep 2024 11:20:03 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/working-student-data-research-scientist/ Working Student / Data / Research Scientist

Job Description:

    Join our dynamic team as a working student in the field of Data and Research Science. In this role, you will be immersed in a complex environment where our production and logistics networks are intricately interconnected. As a key part of our operations, you will be tasked with navigating the changing factors influencing these networks over time. Your primary focus will be on how to effectively and scalably implement cutting-edge concepts from machine learning, artificial intelligence, and operations research to optimize our supply chains and enhance vehicle manufacturing efficiency. This internship will provide you with the opportunity to identify planning decisions that can benefit from advanced techniques in machine learning and AI, as well as the chance to apply innovative optimization approaches to real-world challenges in production and logistics.

IT Languages:

  • Python

In this role, you will be responsible for various critical tasks that contribute to the optimization of our production and logistics systems.:

    Identify planning decisions suitable for machine learning, AI, or operations research approaches.;; Transfer established and innovative optimization strategies to specific use cases in production and logistics.;; Adapt these strategies to meet case-specific conditions, including modeling new constraints and improving calculation efficiency.;; Implement optimization models as scalable software components within agile teams.;; Provide proactive feedback for process improvement based on resulting optimization opportunities.

Spoken Languages:

  • English;; German

Skillset:

  • Machine Learning
  • Artificial Intelligence
  • Operations Research
  • Applied Statistics
  • Python
  • Scikit-Learn
  • Pytorch
  • Tensorflow
  • Gurobi
  • ML-Flow

Soft Skills:

  • High level of initiative
  • Teamwork
  • Communication skills

Qualifications:

  • Currently enrolled in a Bachelor’s or Master’s program in Machine Learning, Artificial Intelligence, Operations Research, Applied Statistics, Computer Science, Mathematics, Physics, Business Informatics, or related fields.
  • Experience in translating mathematical concepts into software components using programming languages.

Years of Experience:

    2

Location:

    Europe

Job Benefits:

  • Hands-on experience in a leading automotive company
  • Opportunity to work on cutting-edge technologies
  • Supportive team environment
  • Flexible working hours
  • Potential for career advancement post-internship

Working Conditions:

    Full Time

Employment Type:

    Internship

Company Culture:

  • A collaborative and innovative atmosphere that encourages continuous learning and development. The company values proactive contributions and fosters a culture of teamwork and open communication.

Opportunities For Advancement:

  • Career development opportunities, Possibility of full-time employment after internship, Mentorship programs

Visa Sponsorship:

    Available
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