Product analytics – 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 Product analytics – 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
]]>