Data Scientist | ML Engineer - 20020

Gepostet vor über 30 Tagen

Spezialisierung: Python

Offen für Angebote

3 000 $

Usbekistan

Urganch

2 Jahre

Fortgeschritten/Fließend

Optionen in Betracht ziehen

Bürojob in Vollzeit

Teilzeitstelle

Fernarbeit (Vollzeit)

Freiberuflich (einmalige Projekte)

Umzug in eine andere Stadt

übersetzt von Google

Datenwissenschaftler mit 2 Jahren Erfahrung und einer starken Leidenschaft für maschinelles Lernen, Deep Learning, Optimierung und Verarbeitung natürlicher Sprache. Mit Fachkompetenz in den Bereichen Finanzen und Beratung, ergänzt durch eine nachgewiesene Erfolgsbilanz bei der Bereitstellung von Vorhersagemodellen, Prozessoptimierung und kompetenten Python-, R- und Cloud-Computing-Kenntnissen. Versiert sich mit Mitarbeiterbeurteilungs- und Rekrutierungsplattformen und ist geschickt darin, Erkenntnisse aus komplexen Zeitreihen, Panel- und Textdaten zu gewinnen.

Bildung

University of Bonn

Meister. Fakultät: Economics

Fachgebiet: Econometrics and Statistics

Oktober 2020

Erfahrung

Data Scientist

Candidate select gmbh

Januar 2023 - Juli 2023

Developed and deployed machine learning and NLP models, including text classification, feature extraction, question answering, and named entity recognition to predict applicant competence based on background, university grades, and assessment scores
Conducted quantitative analysis to optimize the hiring and candidate evaluation processes, leading to 5% increase in hiring efficiency and candidate suitability
Scraped and processed several thousands of rows of data using Selenium and pandas, enhancing data matching and merge quality by 10%
Performed ETL (Extract, Transform, Load) operations on diverse data sources to preprocess and clean data, significantly improving data quality and consistency
Achieved a 5 to 10% increase in prediction accuracy by retraining existing models on AWS SageMaker with improved and updated data quality, utilized AWS services, such as SageMaker, Lambda, and S3 to manage and maintain machine learning models efficiently
Implemented MLflow for model tracking, versioning, and collaboration, ensuring reproducibility and transparency in the model development process

Teaching assistant

Institute of Finance and Statistics

März 2022 - Januar 2023

Assisted in Effective Programming Practices and Computational Statistics classes as a teaching assistant, providing guidance to students in understanding course material and assignments
Facilitated GitHub Classroom to streamline the submission and evaluation of exercises and projects, ensuring an organized and efficient learning process
Conducted code reviews to offer constructive feedback and promote best practices in programming and statistical analysis

Junior Data Scientist

Express 24

Mai 2019 - September 2020

Conducted A/B tests to assess feature impact, analyzed results, and informed cross-functional teams
Uncovered data patterns through EDA, visualized insights, and aided strategic decision-making.
Preprocessed data using Python and pandas, addressing missing values and anomalies for analysis readiness.
Developed personalized pricing models incorporating factors like distance, time of day, customer behavior, taste preferences, and more for accurate and dynamic pricing strategies.

Fähigkeiten

Data Science - 2 Jahre

Machine Learning - 3 Jahre

Statistical analysis - 2 Jahre

ÄhnlicheKandidaten