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Data scientist global enterprises

Remote / Online - Candidates ideally in
Phoenix, Maricopa County, Arizona, 85003, USA
Listing for: HireHi
Remote/Work from Home position
Listed on 2026-10-03
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below
Position: data scientist for global enterprises

Описание:
No description

Задачи
  • Analyze and interpret complex datasets to provide actionable insights and support business decision-making
  • Develop, test, and deploy machine learning models to solve business problems
  • Clean and preprocess data to ensure quality, consistency, and accuracy
  • Design and implement algorithms for predictive analytics and statistical modeling
  • Communicate findings through data visualizations, reports, and presentations to technical and non-technical stakeholders
  • Collaborate with engineering, product, and marketing teams to align data analysis with business objectives
  • Continuously improve data models by experimenting with new features, algorithms, and techniques
  • Maintain and enhance data pipelines for efficient data processing and integration
  • Monitor model performance in production and make adjustments as necessary
Требования
  • 2+ Years of experience as a Data Scientist
  • Strong proficiency in Python
  • Hands‑on experience with machine learning libraries such as scikit‑learn, Tensor Flow, Keras, or Py Torch
  • Experience with data manipulation and cleaning using Pandas or Numpy
  • Familiarity with data visualization tools such as Matplotlib, Seaborn, Tableau, or Power BI
  • Strong understanding of statistical methods and algorithms, including regression, classification, clustering, and hypothesis testing
  • Solid knowledge of relational and No

    SQL databases and strong SQL skills
  • Excellent communication skills with the ability to explain complex concepts to non-technical stakeholders
  • Ability to work independently and as part of a cross‑functional team
  • English at Upper-Intermediate level or above
  • German at Intermediate+ level or above
  • Nice to have: R
Условия
  • Fully remote work, office work, or a hybrid option is available
  • Opportunity to change projects and develop expertise in an interesting business domain
  • Professional, financial, and career growth opportunities
  • Mentoring and onboarding systems for each new employee
  • Opportunity to earn up to an additional 1,000 USD per month depending on expertise level, included in the annual bonus, by participating in company activities
  • Access to the corporate training portal
  • Certification compensation, including AWS and PMP
  • Referral program
  • English courses
  • Private health insurance and sports activity compensation
  • Mobility benefits, including Deutschlandticket, Job Rad program, and public transportation subsidies
  • Bright corporate life with parties, pizza days, Play Station, fruits, coffee, snacks, and movies
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