
Data-Driven Innovation Specialist
7 days ago
Coderspace provides innovative AI and data science solutions to retailers around the world.
We are a dynamic and collaborative team that is passionate about using technology to make a positive impact.
We are seeking experienced professionals to join our team and contribute to the development of cutting-edge AI-powered solutions.
As a professional in this role, you will be responsible for designing and developing AI-powered solutions that meet the needs of our clients.
You will work closely with our team of engineers and data scientists to identify opportunities for innovation and implement new technologies and techniques.
The ideal candidate will have a strong background in computer science, data science, or a related field, and will have experience with machine learning algorithms, data visualization tools, and cloud computing platforms.
We offer a dynamic and supportive work environment, with opportunities for professional growth and development.
Responsibilities:- Design and develop AI-powered solutions that meet the needs of our clients.
- Collaborate with cross-functional teams to identify opportunities for innovation and implement new technologies and techniques.
- Develop and deploy scalable and efficient data pipelines using cloud-based technologies.
- Work closely with data scientists to design and develop predictive models and algorithms.
- Develop and maintain high-quality documentation and technical guides.
- 4+ years of work experience including SaaS systems.
- Bachelor's degree or higher in a related field.
- Strong coding skills in Python with hands-on experience on data and analytics libraries like NumPy, Pandas, sklearn.
- Knowledgeable of modern big data and machine learning concepts and/or solutions.
- Experience working with scalable and distributed platforms for processing large and complex data sets using Hadoop, Spark (PySpark) or similar with the ability to pick up new languages and technologies quickly.
- Skills in manually and programmatically interacting with data stored in traditional (relational) databases as well as NoSQL databases and/or columnar data formats.
- Ability and motivation to self-teach while entering new domains and managing through ambiguity.
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