Descrição do trabalho
Role: SeniorData Scientist
JOB RESPONSBILITIES
. Conducting advanced data analysis, using statistical techniques, machine learning algorithms and data mining methods to extract insights from large datasets.
. Developing predictive models, algorithms, and machine learning solutions to solve business problems an optimise processes.
. Exploring and visualising data to identify patterns, trends and relationships that can inform decision making and strategy.
. Evaluating the performance of predictive models and algorithms using appropriate metrics and validation techniques.
. Deploying data science solutions into production environments and integrating them with existing systems and processes.
. Interpreting and communicating the results of data analysis and modelling to stakeholders in a clear and actionable manner.
. Collaborating with cross-functional teams, including business analysts, engineers, and domain experts to understand business requirements and develop data driven solitons.
MANDATORY SKILLS:
. Strong knowledge of programming, algorithms and data structures and industrial experience in languages such as Python and SQL variations (Hive, Impala, PostgreSQL).
. Understanding of Transformer Architecture, Embedding, Gen Al project pipeline, industrial experience with Prompt Engineering
. Knowledge of classic ML techniques with evidence of using them on data across supervised & unsupervised learning business problems.
. Strong proficiency in the following libraries: numpy, scipy, pandas, scikit learn, matplotlib, seaborn. Proficiency in PySpark, data engineering.
NICE TO HAVE SKILLS
Cloud computing, working knowledge of AWS endpoint, model training and deployment, S3, Snowflake, Pyspark.
N° YEARS OF EXPERIENCE
+ 5 years