Data Analyst Machine....
Data Analyst Machine Learing EngineerJunior
Posted on :
27-02-2024
Employer Active
1 Vacancy
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Job Description
Req ID : 2567310
Join our dynamic team as a Data Analyst & Machine Learning Engineer where you will leverage your expertise to extract valuable insights from data and develop machine learning models. As a key member of Eryk IT you will play a crucial role in transforming data into actionable intelligence and contributing to innovative solutions for our clients..
Key Responsibilities:
Data Analysis:
Perform exploratory data analysis clean and preprocess raw data and derive meaningful
insights to inform business decisions.
Machine Learning Modeling:
Design implement and evaluate machine learning models to solve complex business
problems and enhance decisionmaking processes.
Feature Engineering:
Identify and create relevant features from structured and unstructured data sources to
improve model performance.
Data Visualization:
Communicate findings and insights effectively through the creation of visualizations dashboards and reports for both technical and nontechnical stakeholders.
Collaboration:
Work closely with crossfunctional teams including domain experts data engineers and software developers to integrate datadriven solutions into our products and services.
Model Deployment:
Collaborate with the engineering team to deploy machine learning models into production environments
Requirements
- Bsc. in Computer Science Statistics Data Science or a related field..
- Minimum of 3 years of handson experience in data analysis and machine learning model development.
- Proficient in programming languages such as Python or R with a strong understanding of relevant libraries and frameworks (e.g. Pandas NumPy ScikitLearn TensorFlow PyTorch).
- Solid foundation in statistical methods and hypothesis testing for rigorous data analysis.
- Expertise in manipulating and analyzing large datasets including knowledge of SQL for data extraction and manipulation.
- Indepth knowledge of a variety of machine learning algorithms and their applications including supervised and unsupervised learning techniques.
- English in writing and speaking.
Data analysis
Employment Type
Full Time
Key Skills
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