Описание
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, TensorFlow, Keras, or PyTorch
•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 NoSQL 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, JobRad program, and public transportation subsidies
•Bright corporate life with parties, pizza days, PlayStation, fruits, coffee, snacks, and movies
