Unsupervised learning – Who Needs Engineers
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Software Engineering RecruitmentSat, 26 Oct 2024 21:30:02 +0000en-US
hourly
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https://whoneedsengineers.com/wne_live
3232Data Scientist – New Grad (2025 Start)
https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/data-scientist-new-grad-2025-start/
Sat, 26 Oct 2024 21:30:02 +0000https://whoneedsengineers.com/wne_live/jobs/jobs-categories/data-scientist-new-grad-2025-start/Data Scientist – New Grad (2025 Start)
Job Description:
As a new graduate entering the field of data science, you will play a crucial role in analyzing and interpreting complex datasets to drive strategic decision-making and enhance product development. You will collaborate closely with a dedicated team of data scientists and engineers, leveraging the Databricks platform to extract valuable insights from business and operational data. Your work will directly influence key areas such as customer acquisition strategies, product design, and optimization of engineering processes, ensuring that our data infrastructure remains at the forefront of innovation. This position provides a unique opportunity to manage projects from inception to completion, allowing you to showcase your analytical skills while working in a dynamic and supportive environment.
IT Languages:
SQL
Python
You will be responsible for applying data science methodologies to derive meaningful insights that inform product and business strategies.:
Collaborate with cross-functional teams including Product, Customer Success, Engineering, Sales, Marketing, and Finance to identify data-driven solutions;; Utilize SQL and Python to manage and analyze data effectively;; Implement various statistical analyses and machine learning techniques to produce actionable insights;; Oversee the entire project lifecycle, from defining requirements and exploring datasets to presenting findings to stakeholders and deploying algorithms in production
Spoken Languages:
English
Skillset:
Statistical analysis
Machine learning
Generalized linear regression
Regression and classification trees
Unsupervised learning
Causal inference
Stochastic processes
Time series forecasting
Soft Skills:
Collaborative
Problem-solving
Analytical thinking
Effective communication
Qualifications:
Master’s or PhD degree in a quantitative field
Graduation in December 2024 or Spring 2025
Years of Experience:
0
Location:
United States
Job Benefits:
Comprehensive health insurance
Retirement savings plan with company match
Generous paid time off
Professional development opportunities
Wellness programs
Working Conditions:
Full Time
Employment Type:
Permanent Contract
Company Culture:
We foster a culture of diversity and inclusion, ensuring that all employees can thrive in an equitable workplace. We are committed to continuous learning and improvement, encouraging our team members to innovate and collaborate while respecting diverse perspectives.
Opportunities For Advancement:
Career development programs, Mentorship opportunities, Participation in cutting-edge projects