Our client, a global leader in next-generation digital services and consulting is currently seeking a number of Senior Data Scientist to be based remotely, but within Mainland Poland.
As a Senior Data Scientist, you will be leading, designing, developing, validating and delivering machine learning models to solve retail use cases. You will be also collaborating with business owners and engineers/developers to design and deploy complete machine learning solutions to the cloud, particularly GCP. This involves data acquisition, cleaning, feature engineering, model building and productionalizing the solutions.You will have the newest and most up to date Machine Learning and Artificial Intelligence technology at your disposal.
Responsibilities:
- Data acquisition, cleaning, feature engineering, model building and productionalizing the solutions.
- Prototyping AI/ML software solutions
- Being actively involved in development activities to help identify and research opportunities on new/existing projects
- Validating if attributes enrichment resulted in better search experience and increased conversion rate.
- Providing guidance and recommendations necessary to promote successful ML/AI engagements
- Mentoring and scale up other team members
- Actively contributing to the organization by taking up tasks assigned by the supervisor
- Short term business travels on need basis to gather business requirements
Basic requirements:
- Hands on experience with machine learning modeling especially to extract information from unstructured data (text and images), deep learning.
- Extensive knowledge of supervised, unsupervised machine learning
- Strong experience and skills of Python
- Solid Experience with Hadoop ecosystem, Spark/PySpark
- Good experience with SQL (MySQL, Teradata SQL).
- Experience with big data acquisition, cleaning, feature engineering, model training, model tuning and validation of the solutions.
- Excellent verbal and written communication skills in English
Nice to have:
- Ph.D. degree in Computer Science or related technical field.
- Software Development experience with prototypes and algorithms (e.g. searching, sorting, optimization, dynamic programming)
- Overseeing of the full machine learning product pipeline