Product analytics – Who Needs Engineers
https://whoneedsengineers.com/wne_live
Software Engineering RecruitmentSat, 26 Oct 2024 13:30:02 +0000en-US
hourly
1 https://wordpress.org/?v=6.6.2https://whoneedsengineers.com/wne_live/wp-content/uploads/2023/06/cropped-wne_logo-3-32x32.pngProduct analytics – Who Needs Engineers
https://whoneedsengineers.com/wne_live
3232Data Scientist
https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/data-scientist-34/
Sat, 26 Oct 2024 13:30:02 +0000https://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