Causal Inference – Who Needs Engineers https://whoneedsengineers.com/wne_live Software Engineering Recruitment Sat, 26 Oct 2024 21:30:02 +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 Causal Inference – Who Needs Engineers https://whoneedsengineers.com/wne_live 32 32 Data 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 +0000 https://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 +0000 https://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

Visa Sponsorship:

    Available
]]> Machine Learning Engineer, Forecast Platform https://whoneedsengineers.com/jobs/emerging-technologies-and-specialized-roles/machine-learning-engineer-forecast-platform-2/ Wed, 18 Sep 2024 01:00:02 +0000 https://whoneedsengineers.com/wne_live/jobs/jobs-categories/machine-learning-engineer-forecast-platform-2/ Machine Learning Engineer, Forecast Platform

Job Description:

    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

Visa Sponsorship:

    Available
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