Causal Inference – Who Needs Engineers
https://whoneedsengineers.com/wne_live
Software Engineering RecruitmentSat, 26 Oct 2024 21:30:02 +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.pngCausal Inference – Who Needs Engineers
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
Visa Sponsorship:
Available
]]>Data Scientist
https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/data-scientist-32/
Mon, 14 Oct 2024 10:40:02 +0000https://whoneedsengineers.com/wne_live/jobs/jobs-categories/data-scientist-32/Data Scientist
Job Description:
Join a cutting-edge AI-powered spend platform that empowers companies to manage their financial operations confidently. In this role, you will collaborate closely with talented professionals to transform data into actionable insights that drive strategic decision-making. Your contributions will be pivotal in shaping the product development process, enhancing customer relationships, managing risks, and refining go-to-market strategies. The Data Science and Analytics team is at the forefront of optimizing profitability and boosting efficiency through innovative automation. As a Data Scientist, you will not only analyze complex datasets but also develop and deploy advanced analytical models that address key business challenges. This role offers an exciting opportunity to lead initiatives that will significantly enhance the competitive edge of our organization in the financial services sector.
IT Languages:
Python
R
SQL
As a Data Scientist, you will be responsible for leveraging data to enhance business performance through innovative solutions.:
Identify high-impact opportunities for data science to create business value;; Utilize advanced analytics and machine learning techniques to address complex business issues;; Oversee projects from conception to deployment, ensuring scalable and effective solutions;; Manage data science initiatives with a focus on results and collaboration with analysts and engineers;; Effectively communicate technical concepts to diverse stakeholders, translating insights into actionable strategies;; Work collaboratively with cross-functional teams to align data initiatives with business objectives;; Stay updated on the latest trends in data science and machine learning to refine methodologies
Spoken Languages:
English
Skillset:
Machine Learning
Statistical Modeling
Data Visualization
Causal Inference
Soft Skills:
Strong communication skills
Team collaboration
Adaptability
Problem-solving mindset
Qualifications:
Master’s degree or Ph.D. in Data Science, Computer Science, Statistics, Economics, Operations Research or a related quantitative field
Minimum of 3 years of professional experience in data science or a related field
Proven experience implementing data science projects within a business context
Years of Experience:
3
Location:
New York, NY, United States
Job Benefits:
Health Insurance
Retirement Plan
Professional Development Opportunities
Remote Work Flexibility
Collaborative Work Environment
Working Conditions:
Hybrid
Employment Type:
Permanent Contract
Company Culture:
A commitment to diversity and inclusion, fostering an environment where innovative ideas can thrive and employees are empowered to grow their careers.
Opportunities For Advancement:
Career development programs, Mentorship opportunities, Access to industry conferences
Join our team to enhance the operational efficiency of our dynamic delivery logistics engine. As a Machine Learning Engineer focused on the Forecast Platform, you'll play a crucial role in refining the interaction between consumers, merchants, and delivery personnel. This position offers a unique chance to influence our business by developing predictive models that adapt to a fast-evolving operational landscape. You will collaborate with engineers, analysts, and product managers to create and improve machine learning models that serve millions of users, thereby tackling significant business challenges head-on. Your expertise will be pivotal in optimizing various aspects of our platform, including supply-demand matching, support demand predictions, and infrastructure scaling.
IT Languages:
Python
Scikit Learn
LightGBM
Spark MLLib
PyTorch
TensorFlow
As a Machine Learning Engineer, you will be responsible for the complete modeling lifecycle, from feature creation to model deployment and monitoring.:
Design and implement time-dependent statistical and machine learning models to address product needs across various business areas;; Manage the end-to-end modeling process including experimentation, monitoring, and explainability;; Contribute to the development of an internal forecasting self-service platform and repository;; Research and evaluate new tools and methodologies in the forecasting domain
Spoken Languages:
English
Skillset:
Machine Learning
Statistical Modeling
Data Analysis
Production Systems
Causal Inference
Operations Research
Forecasting
Soft Skills:
High-energy
Ownership
Humble
Adaptable
Growth-minded
Desire for impact
Qualifications:
M.S. in a relevant field with 3+ years of experience or PhD with 1+ year of experience in machine learning
Proven experience in developing statistical and machine learning models in production environments
Strong background in object-oriented programming and familiarity with machine learning libraries
Years of Experience:
3
Location:
Europe
Job Benefits:
Comprehensive healthcare package
401(k) plan with employer match
Paid time off
Paid parental leave
Wellness benefits
Disability and life insurance
Family-forming assistance
Commuter benefit match
Mental health program
Working Conditions:
Full Time
Employment Type:
Permanent Contract
Company Culture:
We are committed to fostering a diverse and inclusive workplace where every team member feels valued and empowered to contribute their unique perspectives. Our fast-paced environment encourages innovation and collaboration while prioritizing employee well-being and growth.
Opportunities For Advancement:
Career development programs, Leadership training, Mentorship opportunities